FPBench: application-oriented error decomposition for foundation potentials. Force prediction, phase stability and ordering, ion migration by NEB.
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Updated
Sep 18, 2026 - Jupyter Notebook
FPBench: application-oriented error decomposition for foundation potentials. Force prediction, phase stability and ordering, ion migration by NEB.
Self-directed pycalphad exercises focused on phase equilibrium, phase stability, and introductory CALPHAD concepts.
Machine learning and predictive intelligence framework for materials behaviour, phase stability, and property forecasting.
0 K convex hulls for binary alloys, with LAMMPS as the only energy engine
Personal reading notes on PhaseForge and MaterialsFramework, connecting their research direction with my current atomistic background and PhD learning goals.
A draft structural protocol for convergence-window design, phase stability, amplitude threshold control, and rebalance timing in oscillating reasoning systems.
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