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Jorge Munoz

 
312C
Physical Sciences Building
El Paso Texas, 79968
Homejamunoz@utep.edu
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Jorge A Munoz
Assistant Professor, Physics

Phase stability is one of the most fundamental phenomena in the universe, and prediction of structure and properties of materials using computers is nowadays one of the most important problems in applied science. Dr. Jorge Muñoz and his group study the quantum mechanical origins of the phase stability of materials by developing computational, data science, and machine learning methods and tools to extend the reach of first-principles atomistic simulations of materials. Changes induced by pressure, temperature, chemical ordering, etc. in the electronic structure and magnetism of elemental metals and metallic alloys and their effect on the phonons and phonon entropy are of particular interest. The group also develops machine learning pipelines and data science solutions for applied problems in physics.

KEYWORDS

  1. Computational physics
  2. Phase stability and thermodynamics
  3. Machine learning
  4. Data science
  5. Atomistic simulations of materials
  6. Density Functional Theory

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