Research Experiences for Undergraduates in Computational Methods with Applications in Materials Science
This program is aimed at involving undergraduate students in active research under the supervision of faculty who are dedicated researchers and mentors at the CCS, an interdisciplinary computational research center at MSU.
The major concentration will be in computational methods and their applications in materials science. The objectives are to provide the undergraduate students with meaningful research experience, to show them the enjoyment of doing research, and to encourage them to pursue advanced degrees in mathematical and physical sciences. In addition to gaining experience in using computational simulation and data analysis tools, students will gain knowledge in using high-performance computing. At the end of the program the participants will prepare written reports and give presentations of their research. The program will be enhanced with various scientific, cultural and social activities.
More about Research Experiences for Undergraduates:
Items from 2024
New Weighting Parameters for Non-Local Means based Denoising Algorithm, Ely Carroll and Hyeona Lim
Validation and Runtime Improvements in Neural Networks for Interatomic Potentials via Automatic Fingerprint Selection, Spencer Evans-Cole, Kip Barrett, and Doyl Dickel
Continuous Data Assimilation for Two-Phase Flow, Mary H. Graveman and Amanda E. Diegel
Developing Machine Learned Interatomic Potentials for Hydrogen Dissociation over Molybdenum Phosphide, Jeremy Lugo, John Michael Lane, Woodrow N. Wilson, and Neeraj Rai
Repulsive Coulomb interactions enhance Superconductivity Selectively at Density 0.5 per site, Jeremy Padvorac and Rudolf Torsten Clay
A docking Analysis of reactivators for sarin-inhibited acetylcholinestrase can aid in screening candidate compounds, Ryan Pirger and Steven Gwaltney
Development of a Simulation Tool to Study Secondary Electron Emission in Copper Coated with Graphene, George Vassilakopoulos and Eric Collins