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Alongside Dr. Peter Gonthier of the physics department, Meredith will be working to develop concise analytical expressions for the spin-dependent Compton cross section involving excited intermediate virtual states, and the general case of scattering with mildly relativistic particles. This research will support NASA's efforts to understand the polarization of X-ray emission in magnetars with future, upcoming missions.

Caroline will be working with Dr. Courtney Peckens in the Department of Engineering. In this project, Caroline will be considering new algorithms for control of civil infrastructure when subject to external seismic loads. Her research will primarily focus on refining the bio-inspired control law using simulation techniques and developing adaptive pruning techniques. Through this research Caroline will also gain skills in proper research methods, data acquisition and analysis, and presenting technical information.

Elizabeth will be working with Dr. Jeffrey Christians in the Department of Engineering to explore crystal phase transitions in a class of semiconductor materials known as halide perovskites. The long-term aim of the work is to better understand the color change process to determine if these materials could be made into a dynamically switchable photovoltaic window to be installed in buildings — a product which could be either a window or a solar cell depending on which the user wants at that time.

Gabrielle and fellow CBL Research Scholar Claire Lundy with be working with Dr. Ryan McFall on building a web application called "HelpMe," which is designed to enhance the learning environment in science labs. HelpMe facilitates students asking questions of the instructional staff and each other to help lab sessions go more smoothly. The app is made up of three components: a database and web API that manages the data in the system, and mobile and web applications that can be used by students and staff to interact with the system.

Claire will be part of a team of three students working with Dr. Ryan McFall to build a web application called "HelpMe," which is designed to enhance the learning environment in science labs. HelpMe facilitates students asking questions of the instructional staff and each other to help lab sessions go more smoothly. The app is made up of three components: a database and web API that manages the data in the system, and mobile and web applications that can be used by students and staff to interact with the system.

McKenna and Dr. Katharine Polasek of the Department of Engineering will be collecting and analyzing brain recordings from people with and without limb amputations. These recordings will be used to help explain the occurrence of phantom limb pain and test the effectiveness of a targeted treatment option for people suffering from phantom limb pain. Additionally,ÌýMcKenna will assist in improving the experimental setup and protocol, gain experience coding in Matlab and perform targeted literature searches.

Josie and fellow CBL scholar Tracy Westra will be a part of Dr. Michael Misovich's research group, which implements mathematical and statistical methods in computer programs or software applications to generate simple, yet general, methods for determining properties of liquids and gases.ÌýJosieÌýwill investigate equations of state for the prediction of chemical and physical properties. Her project will extend the work of previous students who integrated similarity variable concepts of adjusted temperature and adjusted pressure with models for the prediction of vapor pressure of any substance at any temperature and pressure.

Tracy will be a part of Dr. Michael Misovich's research group, which implements mathematical and statistical methods in computer programs or software applications to generate simple, yet general, methods for determining properties of liquids and gases. Tracy will investigate equations of state for the prediction of chemical and physical properties. Her project will extend the work of previous students who integrated similarity variable concepts of adjusted temperature and adjusted pressure with models for the prediction of vapor pressure of any substance at any temperature and pressure.