Nuclear materials in fission and fusion reactors degrade through the same process: chemistry and microstructure evolving together across scales, under conditions no single experiment can reproduce. Autoclave and irradiation campaigns run for years and demand hot-cell handling of radioactive, tritiated samples, yet cannot recreate the combined neutron, thermal, and chemical loads of service.

This webinar presents a single, parameter-free simulation workflow that runs from density functional theory to machine-learned interatomic potentials to continuum phase-field modeling, drawing all parameters from atomistic calculations rather than empirical fits. Through case studies in zirconium cladding corrosion, hydride formation and fracture, tritium trapping in oxidized tungsten, and radiation damage, I will show how one atomistics-to-continuum pipeline built on MedeA moves materials qualification toward predictive, component-lifetime simulation.

In this webinar, you will learn how to:

•    Build a parameter-free DFT → MLP → phase-field workflow for complex materials

•    Predict and validate microstructure with no fitting to experimental data

•    Extend first-principles accuracy to large-scale, finite-temperature simulation

•    Model coupled chemistry, transport, and microstructure evolution in MedeA PhaseField

•    Apply one workflow across fission and fusion materials problems