74 citations · 149 across the 12 of their papers we have counts for
3 papers · 1 filter
Dyna-Mat: End-to-end benchmarking of foundation machine learning interatomic potentials in finite-temperature ensembles
Mikołaj J. Gawkowski, Nongnuch Artrith, Silvia Bonfanti +14
Foundation machine learning interatomic potentials (MLIPs) are increasingly being used as drop-in replacements for first-principles calculations, enabling simulations of materials…
Structure-Dependent Chemical Order Modification in Strained Alloy Nanoparticles
Yue Wang, Zibo Chen, Evropi Toulkeridou +2
Alloy nanoparticles (nanoalloys) exhibit tuneable physicochemical properties that depend sensitively on their atomic arrangement, making control over chemical ordering a central ch…
Nanoscale Phase Distribution Governs Exchange Bias in Multiphase Magnetic Nanoparticles
Murtaza Bohra, Stefanos Giaremis, Vidyadhar Singh +3
Exchange bias at ferromagnet-antiferromagnet interfaces underpins magnetic memory, spintronic devices, and nanoscale electromagnetic technologies, yet its behaviour in complex nano…