High Performance Materials Experts
Establishing and maintaining productive research program, teaching courses at the undergraduate and graduate levels in the Nuclear Engineering Program, mentor and graduate Ph.D. students, participate in activities related to the profession.
Fundamental structure-property, processing, performance relationships of electronic materials. Development of new electroceramics, ferroelectric devices, Induced crystallographic transformations.
Thermochemical and electrochemical energy conversion processes, solar driven thermochemical redox cycles for H2 and syngas production, defect chemistry and thermodynamics of nonstoichiometric oxides, solid oxide fuel cells, solid oxide membrane separations, reaction kinetics
Theory/foundations (e.g. sample size bounds for maximum likelihood estimation, dictionary learning, and boolean function learning); complexity theory; geometric modeling and constraint solving; algorithms and discrete modeling.
Professor Spearot received his Ph.D. in 2005 from the Georgia Institute of Technology. His research interests include: Computational mechanics and materials science (including atomistic simulations and phase-field modeling), behavior of defects in materials, nanostructured materials, linking between atomistic and continuum length scales, and method development for atomistic modeling.
Projects
Elucidating Grain Growth in Thermo-Magnetic Processed Materials by Transfer Learning and Reinforcement Learning
Amanda KrauseA New Paradigm for Materials Discovery and Development for Lower Temperature and Isothermal Thermochemical H2 Production
Jonathan ScheffeEAGER: Real-Time: Ultrasonic Reconstruction and Localization with Deep Helmholtz Networks
Joel HarleyBridging the Length Scales on Mechanical Property Evaluation
Spread Spectrum Time Domain Reflectivity for String Monitoring in PV Power Plants
Joel HarleyInvestigation of Fission-Induced Recrystallization in U-Mo Fuels
Assel AitkaliyevaSimulation of Fission Gas in Uranium Oxide Nuclear Fuel
BRAIN: Brain-Inspired Memristive Nanofiber Neural Networks
Juan NinoVirtual Diffraction Techniques used to Study Dislocation Loop Grain Boundary Interactions and Assess Slip Transfer Criteria (9.2 Mechanical Behavior of Materials)
Douglas SpearotCollaborative Research: Geometric Elucidation of Supramolecular Assembly and Allostery with Experimental Validation
Meera Sitharam