David Zagaceta is currently a graduate student at UNLV, studying Computational Physics. David is interested in the application of machine learning methods to problems in Condensed Matter Physics and Materials Science. Problems of interest are metastability of materials under extreme conditions, emergent phenomena in correlated electron systems, and material defects.
Position
Past Member
Research Interests
- Computational physics
- Machine learning