2 papers
cond-mat.mtrl-sci2026
Data-Efficient Training of Linear ACE Potentials through Leverage-Guided Subset Selection of ASSYST Structure Pools
Aynour Khosravi, Marvin Poul, Jörg Neugebauer +1
The construction of machine-learned interatomic potentials (MLIPs) is often limited by the cost of generating large density-functional-theory (DFT) training datasets. For systemati…
cond-mat.mtrl-sci2025
The influence of solute induced memory on interface migration
Chad W. Sinclair, Jörg Rottler
Interface migration governs microstructural evolution during phase transformations and grain growth thereby dictating those material properties that depend on microstructure. Recen…