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