Research Projects
Both graduate and undergraduate students are required to participate in research as part of their degree program. The list below shows the research specialty of each of the faculty members, as well as some of the research projects they are working on.
Acoustics
Brian Anderson
Time reversal, nondestructive testing, communications, ultrasonics, electroacoustic transduction, transducer arrays, elastic and fluid media

Remote Whispering Applying Time Reversal Acoustics
Description: We are developing new techniques to target an individual in a room and communicate with them without the need for that individual to have any equipment. Time reversal is a sound focusing technique that allows remotely placed loudspeakers to focus sound to a selected point in a room. We use time reversal as the carrier signal to deliver signals to a target location so that the individual at that location can understand the signal but others in the room cannot understand it.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: MATLAB skills are useful
More Information: http://www.physics.byu.edu/faculty/anderson/

Defect Imaging in Steel Using Time Reversal Nonlinear Acoustics
Description:
We are developing new techniques to locate and characterize cracking in stainless steel structures using ultrasonics. In the United States, spent nuclear fuel is being stored inside stainless steel storage casks. We wish to prevent leaks of these casks by detecting cracks before they penetrate through the walls of the container. We use a sound focusing technique called time reversal to focus energy to inspection points. We then analyze the focus of energy to determine whether that location exhibits nonlinear acoustic behavior, indicative of cracking.
We will be using modifications to the traditional time reversal process to redo some nondestructive evaluation experiments that a recent graduate student did in order to determine whether they improve the ability to detect and locate cracks in steel. Preliminary experiments show this has a high chance of success.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: MATLAB skills are useful
More Information: http://www.physics.byu.edu/faculty/anderson/

Ultrasonic Time Reversal Focusing in Air
Description:
This project will explore the use of time reversal to focus ultrasonic sound in air to create a high amplitude impulse of energy. We want to explore the limitations of doing this and what amplitudes are possible to achieve. If the sound levels are high enough then we can explore some nonlinear acoustic phenomena that may create audible sound due to known nonlinear acoustic effects. This would create a phantom sound source.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: MATLAB skills are useful

Time Reversal for Exploding Balloons with Scattering
Description:
This project will explore the impact of placing objects next to a sound source to change how the sound radiates away from the source. Time reversal has been shown to improve when objects are placed next to a source. This project would likely involve exploding balloons and lots of time reversal experiments.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: MATLAB skills are useful

Numerical Modeling of Time Reversal in Rooms
Description: A recent graduate student completed a project on this and there are extensions of his work I'd like a student to work on. These models explored the use of time reversal in various different rooms to see how the room affects the possible quality of the time reversal focusing. One specific aspect to be done is to apply signal processing modifications to the time reversal process and see if the same conclusions hold as for the traditional time reversal process.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: MATLAB programming is what this project is all about, you can learn MATLAB on this project
Kent Gee
Nonlinear acoustics, physical acoustics, aeroacoustics, acoustics education, active noise control

Environmental Noise Monitoring and Modeling
Description: I am working with Dr. Transtrum and graduate students on a project to use machine learning and geospatial features (nighttime radiance, precipitation, forests, etc.) to predict ambient soundscapes throughout the U.S., and eventually, globally. We have a need for an outdoororiented student interested in conducting making sound measurements in different urban and rural environments, formatting the data outputs, and helping to feed them into the machine learning models created by the graduate students.
Suitable For:
Undergraduate StudentsNeeded Skills:
Experience with Excel useful. Likely requires some hiking from time to time.
Programming experience in Matlab or Python a plus.
Interest in learning about acoustics and instrumentation.

Research in shock waves and highamplitude acoustics
Description:
Come analyze F22, F35, rocket, or explosion data for NASA and the U.S. military. Other possibilities exist  email me to set up an appointment. Numerous publication opportunities are likely.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:
Timothy Leishman
Audio and architectural acoustics. Excitation, measurement, modeling, and control of sound fields. Transducers, active control of sound and vibration, energybased acoustics, and acoustical measurements.

Advanced Modeling and Measurement of Loudspeakers
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
Directivity of Live Acoustic Sources
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
EnergyBased Acoustical Measurements
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
Modeling, Design, Construction, and Measurement of QuasiOmnidirectional Sources of Sound
Suitable For:
Undergraduate Students
Graduate Students
REU Students
Traci Neilsen
Underwater Acoustics

Volcano Noise Modeling
Description: Volcano infrasound contains a lot of information about the type and strength of an eruption. An upcoming geohazards workshop, summer 2018, provides the opportunity to learn more about how to interpret the infrasound and relate it to the strength of the volcano.
Suitable For:
Undergraduate StudentsNeeded Skills: Willingness to learn acoustical measurement techniques and signal processing.

Machine learning in Underwater Acoustics
Description: Large arrays of hydrophones in the ocean can be used to locate acoustic sources. The reliability of these localization algorithms depends on the degree to which the ocean environment is correctly parameterized in the models. Machine learning is needed to correctly tackle this problem in realtime.
Suitable For:
Undergraduate Students
Graduate StudentsNeeded Skills:
Desire to learn about machine learning.
Computer coding experience (Matlab or other) is helpful.
Scott Sommerfeldt
Active and passive noise control; energybased acoustics

Acoustic Resonator Design
Description: This work focuses on developing improved models of acoustic resonators.
Suitable For:
Undergraduate Students
Graduate StudentsNeeded Skills: Matlab, acoustic measurement skills

Active Structural Acoustic Control of Shells
Description: This project focuses on minimizing the acoustic sound power radiated from cylindrical shells.
Suitable For:
Graduate Students 
Measuring Acoustic Sound Power Using SLDV Measurements
Description: Scanning Laser Doppler Vibrometer (SLDV) measurements provide vibration measurements of a structure in a noncontact manner. This data can be used to determine the sound radiated from the structure, and this project looks at trying to use the information to come up with an accurate estimate of the radiated sound power.
Suitable For:
Undergraduate Students
Graduate Students
Astronomy
Eric Hintz
Variable stars across the HR diagram (Observational), Astronomy Education Research

Spectrophotometic Comparison of Halpha and Hbeta Index
Description: Traditionally the Hbeta index has been used as a reddening free index to measure the surface temperature of stars. Prof. Joner in the department has developed a new Halpha index that has great promise. We are working together to spectrophotometrically compare the two systems.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: The skills of Phscs 529 would be a great deal of help. However, you could learn the spectral reductions as you went along.

Observations of High Mass Xray Binaries
Description: These are binary star systems with one very massive star (O or B) and a compact object in orbit about the primary. The compact object could be either a neutron star or a black hole. We are monitoring these systems to watch for short and long term variations that will give us clues about the interaction of the two components.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Basic telescope observing skills and IRAF data reduction skills are needed. Much of this could be learned on the fly.

Astronomy Education
Description: I'm currently working on a number of projects to do with astronomy education.
1) We are also examining our constellation quiz to provide a baseline level and determine which constellations and bright stars students know when they start the class.
2) We are working to establish baseline understanding of the Universe in elementary school age children in the US and China. This will feed back into the first project listed.
3) Will likely do a modified project on teaching moon phases to improve on a past MS project.Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: At this point there really isn't any special skills required to get started. Just an interest in how to best teach astronomy/physics concepts.

Period Changes in Medium Amplitude delta Scuti Variables
Description: In general, researchers consider there to be two groups of delta Scuti variables; the High Amplitude delta Scuti (HADS) and the Low Amplitude delta Scuti (LADS). However, the in between realm is interesting. The Medium Amplitide delta Scuti stars seems to show a range of changes in both amplitude and period. This makes them a very interesting group to monitor. Often we participate with astronomers from around the world in taking data for these projects.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: The skill of Phscs 329 are useful, but not entirely required to get started.

Variable Star Search in Open Clusters
Description: We are currently searching for new low amplitude variable stars in a large sample of open clusters. The clusters cover a wide range of ages and will provide a evolutionary test of how the variable stars change with age. We are also looking for very small eclipses that might be the sign of a planet.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: To start with the skills which come from Phscs 329 are sufficient. To get the most out of the data it would help to have the skills taught in Phscs 529.

Spectroscopic Survey of Northern Sky delta Scuti Variables
Description: To understand the nature of the delta Scuti variables in the instability strip one needs as much information as possible about the stars. However, an examination of the catalog of delta Scuti variables shows a lack of basic information on many of the group. Of the 247 delta Scuti stars visible in the northern hemisphere we currently have spectra of 242 of them. These need to be reduced to provide estimates of some basic stellar properties like [Fe/H], radial velocity, rotational velocity, and perhaps information on any binary companions.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Skills from Phscs 529 useful. If willing you could learn the skills as you go along.

Impact of Cadence on Variable Classifcation by Machine Learning
Description:
This program focuses on the large number of survey programs that are current, or will shortly be, in operation. The cadence of observations is just how often we take an observation of a given field or target. If we take one observation per day, we would have a one day cadence. In some cases the cadence is even a bit random.
Programs like LSST will generate data on a cadence of about 1 week. Now consider a variable star that goes through an entire cycle in 2 hours. Can we use the LSST data to understand our short period variable. We are examining targets from programs such as KELT, ATLAS, and ASSN to see how accurate their machine learning is in the classification of variables. We are interested in many pieces of information that can be gathered from this comparison of data of different cadences and proper input into machine learning algorithms.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:
1) One portion of this project requires programming skills as we build model light curves that care then examined at a range of cadences.
2) Other skills are those from the Phscs 329 class. Although some of the skills can be learned as you go, so if you are interested in the observing side you can still ask about joining the research.
Mike Joner
Transiting Exoplanets, Active Galaxies, Pulsating Variable Stars and Extragalactic Photometry

Photometric Reverberation Mapping
Description: Traditional reverberation mapping to estimate AGN black hole masses uses a combination of photometry and spectroscopy to determine the time lag between variations that occur at the accretion disk and then later in the broad line region. With such techniques, there is a need for a large amount of moderate to large telescope time in order to secure the spectroscopic data with an observing cadence suitable for a determination of the time lag. Photometric reverberation mapping uses a single epoch spectroscopic determination of the broad line region velocity and a time lag determination based on photometric observations that include predominantly continuum features or broad line components that can be seen to vary at a later time. This technique is still being tested but hold promise for the determination of black hole masses in the age of several large scale surveys.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Students are welcome to join this effort if they are willing to work at the West Mountain Observatory to secure the precision observations needed to investigate this interesting technique. Data reduction skills and computer programing along with analysis of models and simulated data sets is also a valuable skill.
Joseph Moody
Galaxy nuclear variability, remote observing, largescale galaxy distribution

Testing the standard model of active galactic nuclei through automated multicolor broadband CCD imaging
Description: Remote Observatory for Variable Object Research is a 16" RC Optical telescope on a Paramount pier sited near Delta Utah. Operational since 2008, it is used to remotely monitor active galactic nuclei (AGNs) which includes blazars, quasars, Seyfert nuclei and Low Ionization Nuclear Emission Regions, or LINERS. The standard model of AGNs assumes each is a supermassive black hole surrounded by an accretion disk. The disk is fed by a more extensive lowerdensity region surrounding it. The disk brightens and dims as gas falls upon it and as dusty clouds orbiting around it obscure it from our view. Optical variability measures these effects providing data that can be used to model the specific nature of different AGNs.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Computer programming
Digital data manipulation
Mechanical skills
Patience
Innovation
Horse senseMore Information: http://rovor.byu.edu
Darin Ragozzine
Planetary Science, Astrophysics, Exoplanets, Astrostatistics

Studying the Architectures of Exoplanetary Systems
Description:
Like our Sun, other stars are known to host planetary systems. As we continued to discover many more exoplanetary systems, we learn about how these systems are put together. The "architecture" of these systems (are small planets on the inside or outside? how close are the planets to each other? etc.) gives us invaluable clues to the formation of planetary systems. I used stateoftheart statistical and computational techniques to discovery new exoplanetary systems, study existing systems, and remove the biases on their properties from our limited observational methods. I have many projects at different levels and durations available for students. Please contact me for more information.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:
No skill is absolutely necessary, but the following will increase the complexity of the project you can take on: scientific computing introductory physics, astronomy, and/or planetary science; statistics; upperlevel mechanics; etc. In addition, research in general requires a passion for science and the desire to solve complex problems on your own.

Orbits in the Outer Solar System
Description: Beyond the orbit of Neptune lies a population of icy bodies whose orbits can reveal unique information about how our solar system formed. This region of the solar system is called the Kuiper Belt and these small icy bodies are called Kuiper Belt Objects (KBOs or sometimes TransNeptunian Objects or TNOs), though some are large enough to also qualify as "dwarf planets" like Pluto and Haumea. There are multiple projects available in my research group to study KBO satellites (e.g., Haumea's moons) and KBO orbits (e.g., the Haumea and other collisional families). There are a variety of projects available at a variety of levels. Please contact me for more information.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: No skill is absolutely necessary, but the following will increase the complexity of the project you can take on: scientific computing introductory physics, astronomy, and/or planetary science; statistics; upperlevel mechanics; etc. In addition, research in general requires a passion for science and the desire to solve complex problems on your own.
Denise Stephens
Brown Dwarfs, Transiting Planets, Young Stellar Objects, IR Observing, Space Telescopes

Transiting Exoplanets
Description: Take data with the 16" telescope on the roof of the Eyring Science Center of stars that may have transiting planets. Reduce this data using IRAF and AstroimageJ software. Characterize the radius of the planet (if we see a transit) by fitting the transit light curve. Return results to the team so that we can either obtain further observations of a possible planet candidate or expire the target as spurious or an eclipsing binary star system.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:
Available in the evenings to observe and willing to learn how to use the 16" telescope on the roof.
Knowledge of IRAF and AstroimageJ data reduction tools.

Brown Dwarf Binary Systems
Description: Looking at peculiarities in the spectra of known binary brown dwarfs. Trying to understand the large number of L/T transition binaries, and why the spectra of these objects change so quickly over a constant temperature range. We want to determine binary statistics with spectral type, and how many of the L/T objects are truly single objects. We want to understand which spectral features vary the most between a single brown dwarf and an unresolved binary system, so we can use these spectral features as a way to identify binaries from existing spectra. Eventually we will use high resolution photometry and psf fitting to identify marginally resolved and unresolved binaries.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Knowledge of IRAF or IDL.
Ability to write computational programs.

High resoluion spectra of T dwarfs
Description: Analyze and reduce high resolution spectra of late T dwarfs to look for evidence and measure the abundance of ammonia bands in the nearinfrared.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Must be able to reduce astronomy using IDL, and understand how to reduce spectroscopy.

Variability in Brown Dwarfs
Description: Reduce Spitzer observations of 3 brown dwarfs taken sequentially in time to look for evidence of variability. If variability exists, the amplitude is very low. The evidence of variability would suggest that cloud features or holes in the clouds are not homogeneously distributed across the surface.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Reduce Spitzer photometry. Write a program that look for low amplitude variabililty.
Atomic, Molecular, and Optical
David Allred
Ultraviolet Optics for Space Telescopes, Thin films, NanostructuresMEMS, Mars Simulations, nuclear materials, alternate energy issues (solar. batteries etc.)

Advanced Mirror Coatings for Hubble's successor
Description: In 1999 the IMAGE spacecraft was successfully launched and functioned for over 6 years studying the various plasma filled regions surrounding the earth (ionosphere to magnetosphere) in wavelengths from radio through EUV. We designed and coated mirrors for the Extreme Ultraviolet Imager (EUVI) instrument, which was one of about four observational components of the IMAGE Mission. IMAGE, which stands for Imager for Magnetopause to Aurora Global Exploration, was a NASA funded Medium Explorer (MIDEX) program) [1].
We are now working with NASA scientist and engineers in the process of designing, fabricating and testing novel mirror coatings for the next generation space observatory. The flagship mission that comes after the James Web Telescope and WFIRST.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:
Various skills for various tasks :
Fabrication/test skills
1) interest in vacuum systems, electronics, machining, remote control, and/or optics.
Design:
1) computer languages or interestsHelpful:
1. the ability to spend a summer at NASA Goddard
2. the ability to take a long weekend to go to the ALS (Advanced Light Source) at Lawrence Berkeley Laboratory on BYUfunded trip to measure EUV optical properties of mirrors.

Advanced Materials for Nuclear Energy
Description:
We are able to produce as thin films existing and novel materials for nuclear energy that cannot easily made at other universities.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:
1. Curiosity
2. Drive to make the world better through material science.
3. Desire to use modern scientific equipment
4 helpful:
a. some knowledge of elementary electrical circuits and/or hand tools
b. some knowledge of modern phyics.

BYU's Entry into the University Rover Challenge
Description: Help prepare mars simulation rover for annual competition near Hanksville, UT June 1 http://urc.marssociety.org/home/abouturc Specifically help the science team design onrover test for life.
Suitable For:
Undergraduate Students
REU StudentsNeeded Skills: interest in building things like robots. also remote control and Ham are useful but not required.
More Information: http://marsrover.byu.edu/

optical constants of metals, semiconductors & insulators
Description:
1. we use ellipsometer in Chemistry C387 BNSN
2. we measure Optical Constants in VUV in U161 with R. Steven Turley
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
Atomic layer & chemical vapor infiltration of C nanotube forests.
Description: Atomic layer and chemical vapor infiltration of carbon nanotube forests with metals such as tungsten to make threedimensional microstructures for MEMS applications. This work is closely aligned with that of Prof. Robert C. Davis and Richard R. Vanfleet.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: 1st 2 years of physics are helpful but not required.

Heavily doped ptype zinc oxide for UV optoelectronic devices
Description: Zinc oxide especially heavily doped ptype material. This is a promising material for UV optoelectronics applications including UV lasers, light emitting diodes, and visible lightblind detectors. It also has applications in piezoelectricity, spintronics, transparent electronics, and as a substrate for the growth of other materials.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Physics 140, physics 145 ( may be concurrent), Physics 220 or equivalent are helpful.
Scott Bergeson
Laser cooling, ultracold plasmas, laser spectroscopy, biophotonics (experimental)

Ultracold Plasmas
Description:
We are making ultracold plasma by photoionizing lasercooled calcium atoms in a MagnetoOptical Trap (MOT). The trap size is about 1 mm and it holds about 10 million calcium atoms at a temperature of 0.001 K above absolute zero. The ultracold plasma is formed when we shine in two laser pulses that ionize all of the atoms.
The plasma is "strongly coupled", meaning that the average "nearestneighbor" Coulomb energy is orders of magnitude larger than the mean thermal energy of particles in the plasma. A strongly coupled plasma behaves in some ways more like a solid than a gas. One of our major research goals is to understand how strong coupling changes basic processes like recombination and collisional ionization.
We use calcium to create this plasma because the energy level scheme in Ca is favorable for laser cooling and trapping. The blue wavelengths for both Ca and Ca+ are easily generated with standard laser technology. So when plasma is created we can measure the ion temperature and plasma density in a straightforward manner.
Our newest two projects are using lasers to cool the ions in the plasma, and also generating a plasma with both Ca and Yb ions at the same time. This last project will allow us to study the approach to thermal equilibrium in a twotemperature and twomass system.Suitable For:
Undergraduate Students
Graduate Students
REU Students
Steve Turley
Extreme ultraviolet optics and thin films

Extreme Ultraviolet Optics
Description: I am working on a project with Prof. David Allred and a group of undergraduate and graduate students that began with designing and testing a mirror for the Medium Exploror (MIDEX) Program. The research involves computeraided optical design, multilayer mirror fabrication, measurement of optical properties of materials, and design and fabrication of test and measurement components. Measurements are made both at our facilities at BYU and at the Advanced Light Source at the Lawrence Berkeley National Laboratory.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Depending on the area of involvement, some of the following skils and/or experience could be valuable (I'm also willing to work with students to develop skills they have not yet acquired, but would like to learn): computer programming (Mathematica or C#), vacuum systems, computer interface of experiments, statistical data anlysis, thin film optics, basic machine shop use.

Effects of Roughness of Reflectance
Description: Simple calculations of optical reflection and transmission from surfaces assume flat surfaces with abrupt interfaces. These assumptions are often sufficiently incorrect to lead to significant errors in computing the optical properties of mirrors and coatings in the extreme ultraviolet. We have several projects which involve computing the of surface roughness on the optical properties of thin films. The projects involve numerically solving Maxwell's equations from first principles on representative surfaces and developing algorithms to apply the results to general surfaces.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Some programming experience would be very helpful. You should be willing to learn the ideas behind supercomputer programming, FORTRAN, and have some facility with Mathematica.
Michael Ware
Quantum Optics

Computing electron behavior in highintensity laser interactions
Description:
When highintensity lasers interact with materials, they rip electrons from atoms and pull them around at nearly the speed of light. We study electrons under these extreme conditions using MATLAB coding.
Suitable For:
Undergraduate Students
Graduate StudentsNeeded Skills:
To be successful in this project, a student will need to have some programming experience. Physics 330 is sufficient preparation, or we can train you without that course if you have a good programming background.

Single photon radiation from relativistic electrons
Description: We are building an experiment to measure the radiation produced by an accelerated electron with a large quantummechanical wave packet. This experiment uses extremely high intensity lasers along with singlephoton detectors to study the behavior of matter at the most fundamental level.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: A basic understanding of quantum mechanics and optics will be helpful. We can usualy work on the rest if you have the motivation.

Measuring Nuclear Decay Rates
Suitable For:
Undergraduate Students
Graduate Students
REU Students
Condensed Matter
Branton Campbell
Materials physics  nanoscale structure property relationships (Experimental)

Magnetic structures from neutron diffraction
Description: We are exploring the use of symmetry principles to simplify the discovery and characterization of novel magnetic structures in solidstate materials. This work involves experimental (neutron diffraction), theoretical (group theory) and computational (ultimate curve fitting) aspects.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: No prerequisites. Students will need to become familiar with crystal symmetries, basic group theory, diffraction experiments, and metaloxide sample preparation.
More Information: http://www.physics.byu.edu/faculty/campbell/

Structural phase transitions
Description: We are currently collaborating with Professor Harold Stokes to develop interactive software tools for computing and visualizing structural distortions in crystalline materials.
http://stokes.byu.edu/isodistort.html
Student researchers have the opportunity to apply these stateoftheart tools to solve materials physics problems in advanced materials like superconductors, piezoelectrics and magnetoresistors.Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: No prerequisites. Students will need to become familiar with crystal symmetries, basic group theory, and the Linux operating system.
More Information: http://www.physics.byu.edu/faculty/campbell/

Binary alloys
Description: My group collaborates with Professor Gus Hart the discovery of novel alloys of Pt that have been predicted from first principles calculations, but never observed in nature. This work involves sample preparation, xray and neutron diffraction experiments, and extensive data analysis.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: No prerequisites. Students become familiar with compositionallyordered alloys and the Rietveld analysis of powder diffraction data (i.e. finding out how the atoms are arranged in crystals).
More Information: http://www.physics.byu.edu/faculty/campbell/

Xray scattering from embedded nanostructures
Description: I am currently applying stateoftheart xray and neutron scattering techniques to study the local and intermediaterange structure of solidstate materials. Systems of interest include the fastion conductors, ferroelectric relaxors, and colossal magnetoresistive manganites, where nanoscale structural features can be manipulated to determine the macroscopic physical properties.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsMore Information: http://www.physics.byu.edu/faculty/campbell
Karine Chesnel
Magnetic nanostructures

Magnetic properties in nanomaterials
Description: We study magnetic properties in matter at the nanoscopic scale. Tools we use include magnetometry techniques (VSM, EHE, SMOKE), magnetic microscopy (MFM) and synchrotron techniques (XMCD, XMRS, magnetic speckles...). Types of systems we study vary from thin films (ferromagnetic, exchange bias), superparamagnetic nanoparticles, magnetically dopped materials with interesting electronic and optical properties...
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsMore Information: http://www.physics.byu.edu/faculty/chesnel/default.aspx
John Colton
Optical spectroscopy of semiconductors, with an emphasis in spin properties and semiconductor nanostructures

Semiconductor nanoparticles in ferritin
Description: Ferritin is a hollow protein about 10 nm in diameter, and can be used as a template for creating semiconductor nanoparticles. The particles form inside the protein shell. We're investigating ways to synthesize the nanoparticles, and their properties once synthesized, especially for solar cell applications. There's also a cool possible application for fighting cancer that we may be pursuing, binding fluorescent nanoparticles to cancerous cells and using them to image the tumor. This research is done in collaboration with Richard Watt, a BYU chemistry professor
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
Platinum nanoparticles
Description: Ferritin semiconductor nanoparticles can be used to help metallic platinum nanoparticles form. Platinum is well known as a catalyst, and nanoparticles are great catalysts because of the extremely high surface area to volume ratio. We've been making these nanoparticles and are looking to use them as photocatalysts for using optical energy to produce hydrogen gas... initially via a UV lightcatalyzed reaction using a chemical called "methyl viologen" but hopefully eventually by using solar energy to split water molecules.
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
ZnO thin films
Description: Zinc oxide is a semiconductor that potentially has good optical properties that should allow it to be used to make semiconductor devices such as LEDs and lasers. However, to make such devices you need both “ntype” and “ptype” material. (Ntype has extra electrons compared to what is needing for bonding; ptype has an electron deficit.) ZnO tends to naturally form as ntype and it's traditionally been very hard to make good quality ptype ZnO, but we're working with faculty member David Allred and visiting professor Gary Renlund to develop a new synthesis technique. We've been doing film growth on substrates coated with ZnAs using a sputtering technique, and optical investigations of the resulting material. For that matter, we plan to publish a paper on the ZnAs coating that we’ve produced along the way.
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
Nanoparticles as temperature sensors
Description: We're working with a mechanical engineering professor (Troy Munro) to use semiconductor nanoparticles as temperature sensors. The wavelengths of light present in the nanoparticles' photoluminescence (aka fluorescence), and the time it takes for the luminescence to be emitted after the electrons have been excited both depend on the temperature. By characterizing the nanoparticles’ photoluminescence spectrum in both wavelength and time as a function of temperature, we hope to be able to use the nanoparticles as noninvasive temperature sensors in e.g. medical applications. For example, one could use the optical emission from nanoparticles injected into tissue to monitor temperatures as focused ultrasound is used to heat up and destroy tumors.
Suitable For:
Undergraduate Students
Graduate Students
REU Students
Robert Davis
Micro and Nanoscale Materials (experimental)

Biological Separations
Description: This work is focused on capture of cells and molecules using precision filters for the detection of cancer and antibiotic resistant bacteria.
Suitable For:
Undergraduate Students
Graduate Students 
Biomolecular Electronics
Description: Carbon nanotubes, proteins and nucleic acids are candidate structures for self assembled molecular electronic materials for sensing and the internet of things. .
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
Nanostructures and Micromachines
Description: We are developing three dimensional microscale structures from vertically grown nanotube forests. We are using films of carbon atoms, few atoms thick, to make ultrastrong materials.
Suitable For:
Undergraduate Students
Graduate Students
REU Students
Dennis Della Corte
Computational Protein Design, Molecular Dynamics Simulations, ForceFields calculations, precompetitive pharma industry consortia

ProSPr  Protein Structure Prediction
Description:
A cross divisional team of physicists, computer scientists, biologists and chemists implements a novel protein structure prediction pipeline to solve one of the oldest challenges in computational biophysics: The Protein Folding Problem.
We will apply our pipeline to a global community wide blind test in 2020 called CASP14.
The work entails:
 training of convolutional neural networks
 design of simulation algorithms
 high performance super computer usage
 chemical and biological evaluation of results
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:
Ability and willingness to work together with a very diverse team
Basic understanding of Biology and Chemistry
Solid programming experience, python preferred
Research topics are available for graduates as well as undergraduates.

Radical SAM Engineering
Description:
Together with the Chemistry department at BYU, we are developing algorithms that aid the systematic design of novel enzymes.
These enzymes can be applied to a variety of use cases, such as fertilizer production, detergent production, or drug production.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:
Basic understanding of statistical mechanics
Good understanding of chemistry and biology, ideally a minor
willingness to learn how to model and program
experience with at least one programming language and linux
Benjamin Frandsen
Condensed Matter PhysicsLocal structure investigations of complex materials using xray, neutron, and muon techniques

Atomic and magnetic structure investigations of complex materials
Description: One of the first steps toward understanding any given material of interest (a new superconductor, an unusual magnetic material, an energyrelated compound, etc) is determining its atomic and magnetic structure. We utilize beams of xrays, neutrons, and muons at largescale accelerator facilities to do just that. Our primary experimental techniques include atomic and magnetic pair distribution function (PDF) analysis, conventional xray and neutron scattering, and muon spin relaxation/rotation. A few times a year, we visit these types of facilities to collect data, and then we come back home to analyze and make sense of it all. Through this process, we hope to shed light on the origin of the material's properties by gaining a detailed understanding of the local and average atomic and magnetic structure.
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
Open source, pythonbased software for atomic and magnetic structure
Description: Data are only useful if we can understand them, and to understand them, we often need specialized tools. We are currently developing open source, pythonbased software tools to analyze experimental data collected from condensed matter experiments using xray, neutron, and muon beams. The software will maximize research effectiveness and enable new methods of analysis not only for our own research group, but also for the wider community of condensed matter physicists using similar types of experimental methods.
Suitable For:
Undergraduate Students
Graduate Students
REU Students
Gus Hart
Computational Materials Physics

Materials simulation: Algorithm development and applications
Description: Our group focuses on computer simulation of materials for the purpose of discovering new materials that have exceptional properties. There are two aspects of the research: 1) developing new approaches, algorithms, and mathematics that can be used in simulation, and 2) applying existing and new approaches to find new materials. Both aspects are challenging and require participating students to move far outside their comfort zone and learn things that won't be part of a regular physics or CS degree.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Students must be be motivated to learn and must dependably balance research time with other studies, family responsibilities, etc. Funding is available for all students who so demonstrate.
Few of my successful students in the past had prior knowledge in solid state physics or had abilities such as programming and using Linux/Unix. Such things are nice but exerting the effort to learn is more important.
Students should embrace the opportunity to learn new mathematics, new software engineering practices, to work on a team. Students must be dependable. This is not the group to join if you are just trying to graduate. 
Machine Learning for Discovering New Materials
Description: We are developing mathematics, algorithms, and software to discover the new materials that will define the next age of human civilization. Stone, Bronze, Iron, Steel, Silcon,...what material will define the next age? We are building a "virtual laboratory" so that artificially intelligent computers can discover the materials of tomorrow.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Students must be be motivated to learn and must dependably balance research time with other studies, family responsibilities, etc. Funding is available for all students who so demonstrate.
Few of my successful students in the past had prior knowledge in solid state physics or had abilities such as programming and using Linux/Unix. Such things are nice but exerting the effort to learn is more important.
Students should embrace the opportunity to learn new mathematics, new software engineering practices, to work on a team. Students must be dependable. This is not the group to join if you are just trying to graduate.
Mark Transtrum
Theoretical and Computational Complex Systems

Information theory of multiparameter models
Description: Mathematical modeling is a central component of nearly all scientific inquiry. Parsimonious representations of physical systems, together with robust methods for interacting with them, is one of the primary engines of scientific progress. Much of the work in our group involves developing new methods, both theoretical and computational, for improving the predictive performance of complex multiparameter models. Our research explores the mathematical structures that enable predictive modeling. We use information theory, statistics, differential geometry, and topology, as well as relevant physical laws from a variety of fields to better understand data, models, and the relationship between reductionism and emergence.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:  Programming experience in Python/Julia/or other scripting language
 Multivariate Calculus/Ordinary Differential Equations
 Computational Physics ToolsMore Information: https://www.physics.byu.edu/faculty/transtrum/ResearchProjects.html

Computational methods for exploring highdimensional parameter spaces
Description: Modern computers enable large models of complex processes. These models often involve a large number of parameters and a relevant question is often how the model's behavior depends on the parameter values. Because the parameter space is highdimensional, a brute force search will never be possible for models with more than a few parameters. We are developing novel computational methods for efficiently and intelligently exploring these highdimensional parameter spaces. This project uses theoretical insights based on information theory and applies sophisticated techniques in computational differential geometry, automatic differentiation, and topology with highperformance computing. Our goal is to improve algorithms for fitting models to data, performing statistical sampling, and classifying regimes of distinct model behaviors.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:  Programming experience in Python/Julia/or other scripting language
 Multivariate Calculus/Ordinary Differential Equations
 Computational Physics ToolsMore Information: https://www.physics.byu.edu/faculty/transtrum/ResearchProjects.html

Modeling Complex Energy Systems
Description: Models of energy systems involve a large number of heterogeneous components connected in complex networks. Detailed models of these systems constructed from physical first principles are similarly complicated and involve a large number of unknown parameters. In spite of their detail and complexity, models often have limited predictive capability because it is difficult to identify the model, i.e., find accurate values for all of the parameters. Our goals it develop models that are sufficiently complex to capture the rich behavior of real power systems, but simple enough so that all the parameters can be learned from data.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:  Programming experience in Python/Julia/or other scripting language
 Multivariate Calculus/Ordinary Differential Equations
 Computational Physics ToolsMore Information: https://www.physics.byu.edu/faculty/transtrum/ResearchProjects.html

Modeling Complex Biological Systems
Description: Biological systems are rich in the types of behavior they can exhibit. This is enabled through a complex web of components. In the case of development biology, the relevant components are networks of chemical reactions while in neuroscience, it is a combination of electrical and biochemical signals. In both cases, the complex system responds to external stimuli and performs calculations to formulate an appropriate response. The complexity of these systems is overwhelming. New theoretical and computational tools are needed to organize our knowledge of these processes and compress it into a coherent theory. Our research tries to develop minimal models from these "parts lists" in order to summarize and organize our understanding of biological and neurological processes.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:  Programming experience in Python/Julia/or other scripting language
 Multivariate Calculus/Ordinary Differential Equations
 Computational Physics ToolsMore Information: https://www.physics.byu.edu/faculty/transtrum/ResearchProjects.html

Superconducting Materials for next generation particle accelerators
Description: Particle accelerators are are foundational technology in modern science, enabling fundamental research in facilities such as the Large Hadron Collider (LHC), as well as providing some of our best sources of coherent xrays for probing nanoscale structure in materials. The same physical principles underly other technologies such as electron microscopy. Superconducting resonance cavities are the enabling technology that allows subatomic particles to be accelerated to near light speeds. In collaboration with researchers at the Center for Bright Beams (cbb.cornell.edu), we are working to better understand materials properties of superconductors in order to lay the foundation for the next generation of particle accelerators. Our work uses high performance computing to solve equations that describe how specific materials respond to applied magnetic fields, accounting for details such as surface roughness, grain boundaries, and material inhomogeneities.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:  Programming experience in Python/Julia/or other scripting language
 Multivariate Calculus/Ordinary Differential Equations
 Computational Physics ToolsMore Information: https://www.physics.byu.edu/faculty/transtrum/ResearchProjects.html

Machine Learning on Acoustic data sets
Description: Sound is one of the fundamental ways we observe our environment. In collaboration with acousticians at BYU and Blue Ridge Research and Consulting, we use machine learning techniques to predict ambient sound levels from environmental parameters (such as the distance to a road or local population densities). Our models will ultimately be useful for a variety of applications including military mission planning, public health, urban development, and ecology. We also use machine learning to predict crowd dynamics from acoustic data sets. Can analysis of acoustic data collected at sporting events be used to infer the shifting mood of a diverse crowd? If so, can acoustic monitoring be used to improve law enforcement responses to crowds before they become violent?
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:  Programming experience in Python/Julia/or other scripting language
 Multivariate Calculus/Ordinary Differential Equations
 Computational Physics ToolsMore Information: https://www.physics.byu.edu/faculty/transtrum/ResearchProjects.html
Richard Vanfleet
Atomic and near atomic scale studies of materials by transmission electron microscopy (experimental)

Atomic and near atomic scale studies of materials by Transmission Electron Microscopy.
Description: We attempt to determine in as direct observational way as possible the way materials actually chose to arrange themselves. This is often in contrast to how man has attempted to arrange them. We are interested in the structural arrangement of atoms as well as the elemental and bonding arrangements of atoms within nanometer scale features of the sample. An undergraduate would learn to prepare samples for TEM analysis as well as learn the basics of TEM operation to analyze their samples in the TEM.
Suitable For:
Undergraduate Students
Graduate Students
REU Students
Laser Science
Richard Sandberg
XRay Optics

Lensless imaging to study nanometerscale material dynamics
Description:
We have positions opened for undergraduates and upwards of three graduate students in the Physics and Astronomy Department starting immediately or for 2020. Our new lab is developing lensless or coherent diffraction imaging to study materials dynamics. We use coherent light sources (xray, XUV, and optical), Fourier Optics, and computer algorithms to produce nanometer scale images of materials lenslessly.
Graduate and undergraduate student position projects available:
 Imaging atomic strain in structural materials
 Nanoscale 3D few nanometer imaging
 Single shot imaging of materials in extreme conditions
For more information, contact Dr. Sandberg at rsandberg@byu.edu, 8014221497 or N261 ESC
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills:
Required Skills:
 Desire to learn and apply experimental knowledge
 Interest in optics and xray diffraction
 Interest in learning about computer algorithms and data science
Desired/Helpful Skills:
 Experience or class on xray diffraction, optics, or solid state
 Aligning optics and lasers
 Programming in matlab, python, or C++
 Interfacing computers with lab equipment (cameras, motors, etc)
 Inverse problems
Nuclear
John Ellsworth
Laboratory Nuclear Astrophysics

Laboratory Nuclear Astrophysics
Description: This research is investigating how condensed matter can catalyze the fusion of deuterium (dd) and deuterium with heavier atoms (dZ). We'll study the structure of such matter and the possible influence of vacuum quantum electrodynamics on the reaction (the Jones pseudo particle).
Suitable For:
Undergraduate Students
REU StudentsNeeded Skills: Come meet with us to learn more.

High resolution neutron spectrometer
Description: Standalone detector for higher resolution energy spectroscopy without the need of a timeofflight start detector. This incorporates LGB in plastic scintillator and using high speed photomultiplier tube.
Suitable For:
Undergraduate StudentsNeeded Skills:
Nuclear instrumentation and high speed digitizing electronics.
Software skills: Matlab for data collection and analysis, Operating systems communications for USB and TCIP.

Paired Scission Neutrons
Suitable For:
Undergraduate Students 
Optically Tagged Isotropic Fission Neutron Source
Suitable For:
Undergraduate Students 
Thin Film Accelerator Target System for LNAR
Suitable For:
Undergraduate Students 
Shielded Fission Source Detector
Suitable For:
Undergraduate Students 
Casimir Octant
Suitable For:
Undergraduate Students 
Snaptogether Accelerator Ion Source
Suitable For:
Undergraduate Students 
Farnsworth Fuser
Suitable For:
Undergraduate Students
Plasma
Grant Hart
Computational investigation of nonneutral plasma physics

Numerical modeling of waves in nonneutral plasmas
Suitable For:
Undergraduate StudentsNeeded Skills: Some experience in using Matlab is useful.
Theoretical and Mathematical
Manuel Berrondo
Quantum Dynamics, Emergence, QFT, Quantum Chemistry

consensus and frustration
Suitable For:
Undergraduate Students
Graduate Students
REU Students
Eric Hirschmann
General relativity, nonlinear field theories, computational physics

General relativistic compact binaries
Description:
We are interested in all aspects of compact object binary mergers (black holes and neutron stars). This includes predicting the gravitational and electromagnetic radiation from such systems as well as constraining the properties of dense matter in such mergers.
This work involves large scale computation and necessitates developing numerical algorithms for solving the nonlinear partial differential equations of general relativity and radiation magnetohydrodynamics.
Suitable For:
Undergraduate Students
Graduate StudentsNeeded Skills:

Relativistic magnetohydrodynamics
Description:
Past, present and future projects include
 Establishing the characteristic structure of the equations of general relativistic magnetohydrodynamics (GRMHD) in different formulations.
 Studying the instabilities and waves associated with this system in different geometries.
 Developing constraint preserving boundary conditions for GRMHD.
 Developing simulations in 1D, 2D and 3D for flat space MHD.
Suitable For:
Undergraduate Students
Graduate Students 
General relativisitic equilibrium models of magnetars
Description:
We would like to construct axisymmetric, general relativistic, equilibrium models of neutron stars with ultrastrong magnetic fields (magnetars). Physics inputs include poloidal and toroidal magnetic fields, realistic equations of state for the matter, differential rotation and convective motions.
Suitable For:
Undergraduate Students
Graduate Students 
Charged black holes in higher dimensions
Description: The KerrNewman black hole is the charged, rotating black hole in 4 dimensions. The 5 dimensional version is not known. Using numerical techniques we are trying to construct it.
Suitable For:
Undergraduate Students
Graduate Students
David Neilsen
General relativity; relativistic astrophysics; fluid dynamics; parallel computing

General Relativity
Description: General relativity describes gravitational phenomena geometrically as curvature in spacetime: Matter curves space, and the spacetime curvature affects matter. General relativity predicts that accelerating objects can emit gravitational radiation. While this radiation is typically extremely weak, some astrophysical systems, such as colliding black holes or neutron stars, may emit gravitational waves that we can detect on Earth. Large, kilometer scale laser interferometers, such as LIGO, are being constructed to study gravitational wave signals from these events. Unfortunately, we currently know very little about the radiation expected from the regions of spacetime with the strongest (nonlinear) gravitational fields. I study computational methods for solving the Einstein equations for these strongfield gravitational wave sources. Various projects are available to investigate black hole spacetimes, black hole formation, and properties of the Einstein equations. All projects require writing, testing, and running computer codes to investigate nonlinear gravitational phenomena.
Suitable For:
Undergraduate Students
Graduate Students
REU StudentsNeeded Skills: Students should plan on spending a significant amount of time learning the fundamentals of general relativity, tensor analysis and computational methods as part of their research.

Relativistic fluid dynamics (RFD)
Description: Neutron star collapse, supernovae, gammaray sources, etc., are some of the exciting topics in relativistic astrophysics, and the perfect fluid is the fundamental model for all of these. I study relativistic perfect fluids near black holes using computational methods. In particular, Eric Hirschmann, Steven Millward and I at BYU are studying a magnetized fluid around a black hole with computational MagnetoHydrodynamics (MHD). Various computational projects are available in RFD and MHD, which require writing, testing and running computer programs to model relativistic fluids.
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
Numerical methods
Description: Research with the Einstein equations and RFD requires sophisticated numerical methods and techniques (as well as cheats and tricks). Some techniques include adaptive mesh refinement (AMR), parallel computing, highresolution shockcapturing methods for fluid equations. Some systems, such as moving black holes, may naturally be solved in multiple reference frames simultaneously. I am investigating the use of overlapping computational grids for these problems. One particular interest is combining modern fluid methods with overlapping grids.
Suitable For:
Undergraduate Students
Graduate Students
REU Students
JeanFrancois Van Huele
all aspects of quantum theory, especially quantum dynamics and quantum information

Quantum Dynamics
Description: Study of time evolution of quantum systems
Suitable For:
Undergraduate Students
Graduate Students
REU Students 
Quantum Information
Description: Studies in entanglement, uncertainties, and measurement
Suitable For:
Undergraduate Students
Graduate Students
REU Students