Plasma– tag –
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Machine Learning Potentials Grapple with Long-Range Interactions in Atmospheric Modeling: A DTU Deep Dive
DTU Research Database Denmark Overview Researchers at the Technical University of Denmark (DTU) evaluated AIMNet2 and PaiNN, two machine-learned interatomic potentials (MLIPs), for modeling molecular collisions critical to atmospheric cl... -
Meta FAIR and Stanford Researchers Successfully Fine-Tune UMA Model for High-Precision Simulation of WS2 Oxygen Plasma Interactions
arXiv USA Overview Researchers from Meta FAIR and Stanford University successfully fine-tuned the UMA universal machine-learned interatomic potential (MLIP) model specifically for oxygen plasma interactions with WS2. This study addresses... -
Meta FAIR’s Universal MLIP ‘UMA’ Precisely Models Oxygen Plasma Interactions with 2D Materials, Advancing Semiconductor Manufacturing
arXiv Unknown Overview Meta FAIR's universal machine-learned interatomic potential (MLIP) model, UMA, has demonstrated highly accurate modeling of oxygen plasma interactions with tungsten disulfide (WS2), a 2D material, with performance ...
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