Computational research
in nuclear materials
Phase-field modeling and thermodynamics for understanding how phases form, compete and evolve in alloys for nuclear energy applications.
Multicomponent
phase-field modeling
How can solution phases and stoichiometric compounds be described within one evolving system?
Model development focuses on coupled diffusion and phase transformations in multicomponent, multiphase systems. Current work addresses reaction extent and solution-phase composition relaxation in ternary systems containing stoichiometric compounds.
View model development project →Phase transformations
in nuclear materials
How do composition and competing phases shape alloy microstructures?
Studies of Fe–Cr and Fe–Cr–Al alloys examine phase separation and microstructural evolution. Current research extends to telluride formation in Ni–Cr–Te, with an application to structural materials for molten salt reactors.
Fe-based systems
Spinodal decomposition, phase evolution and the effects of alloy composition.
Ni–Cr–Te systems
Stoichiometric telluride formation, diffusion and phase competition.
Simulation of
microstructural evolution
How can physical models be translated into efficient numerical simulations?
Computational work combines free-energy descriptions with numerical methods for evolving composition and phase fields. Experience includes GPU-accelerated simulation, semi-implicit Fourier spectral methods, solver benchmarking and the modeling of elastic effects.
View alloy simulation studies →View nonlinear lattice parameter study →
Research projects & software
Model development, alloy simulations and GUI-based radiation dose assessment.