Computational materials science uses modeling and simulation to study material behavior and properties at length scales ranging from atomic to mesoscale and ultimately to the engineering scale. At UF, computational materials science research focuses on multiple scientifically challenging areas important for applications, including 2D materials, defects and interfaces, superconductivity, materials in extreme conditions, and nuclear materials. We also take advantage of UF’s HiperGator supercomputer in our work.
Faculty
Education: Ph.D. 2014, Pennsylvania State University
Research Interest: Computational materials, CALPHAD, Phase-field method, Machine learning, Ferroelectric materials, Physical metallurgy, Recycling aluminum, Additive manufacturing, Microstructure evolution, Rapid solidification, Phase transformation
Education: Ph.D., 2000, Washington University in St. Louis
Research interests: AI-driven and ab-initio materials science; deep learning and generative models for materials prediction and inverse design; interpretable machine-learning force fields; quantum and superconducting materials; molecular magnetic qubits and spin coherence; electronic-structure and phonon-based modeling of electron–phonon coupling; electrochemical and solid–liquid interfaces; and open computational frameworks linking predictive AI, first-principles simulation, and experiment.…
Education: Ph.D. 2019, University of Akron
Research Interest: Computational Soft Materials, Structure-Property Relation of Soft Materials, Polymer Physics, Bio-Inspired and Biomimetic Materials, Sustainable Polymers, Colloidal Suspensions.
Website: The Liang Lab
Education: Ph.D., 1985, University of Florida
Research Interests: Computational materials science, nuclear materials, defect properties, framework materials, sequestration of radionuclides, layered materials, simulation methodologies
Lab Website: Phillpot Research Group
Ph.D., 2008, University of Illinois, Urbana-Champaign
Research Interests: Computational materials science, Computational mechanics, Coevolution of microstructure and properties, Materials in Harsh Environments, Mesoscale modeling and simulation, Nuclear materials, Numerical methods
Lab Website: Tonks Research Group
Ph.D., 2010, Penn State University
Research Interests: Reactor Kinetics and Dynamics, Neutronics, Thermal Hydraulics, Multiphysics Simulation, Advanced Numerical Methods, Applied Mathematics, Advanced Code Coupling Techniques, Scientific Software Development, High Performance Computing
Lab Website: Florida Advanced Multiphysics Modeling and Simulation (FAMMoS) Lab
Computational | Nuclear Engineering Faculty
Education: Ph.D. 2014, Pennsylvania State University
Research Interest: Computational materials, CALPHAD, Phase-field method, Machine learning, Ferroelectric materials, Physical metallurgy, Recycling aluminum, Additive manufacturing, Microstructure evolution, Rapid solidification, Phase transformation
Education: Ph.D., 2000, Washington University in St. Louis
Research interests: AI-driven and ab-initio materials science; deep learning and generative models for materials prediction and inverse design; interpretable machine-learning force fields; quantum and superconducting materials; molecular magnetic qubits and spin coherence; electronic-structure and phonon-based modeling of electron–phonon coupling; electrochemical and solid–liquid interfaces; and open computational frameworks linking predictive AI, first-principles simulation, and experiment.…
Education: Ph.D. 2019, University of Akron
Research Interest: Computational Soft Materials, Structure-Property Relation of Soft Materials, Polymer Physics, Bio-Inspired and Biomimetic Materials, Sustainable Polymers, Colloidal Suspensions.
Website: The Liang Lab
Education: Ph.D., 2008, University of California San Diego
Research Interests: Computational plasma physics, magnetic fusion, tokamak disruptions, scientific machine learning, plasma-material interaction.
Lab Website: McDevitt Lab
Ph.D., 2008, University of Illinois, Urbana-Champaign
Research Interests: Computational materials science, Computational mechanics, Coevolution of microstructure and properties, Materials in Harsh Environments, Mesoscale modeling and simulation, Nuclear materials, Numerical methods
Lab Website: Tonks Research Group
Ph.D., 2010, Penn State University
Research Interests: Reactor Kinetics and Dynamics, Neutronics, Thermal Hydraulics, Multiphysics Simulation, Advanced Numerical Methods, Applied Mathematics, Advanced Code Coupling Techniques, Scientific Software Development, High Performance Computing
Lab Website: Florida Advanced Multiphysics Modeling and Simulation (FAMMoS) Lab