AI RESEARCH
Machine Learning Multiscale Interactions
arXiv CS.LG
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ArXi:2605.25710v1 Announce Type: cross Realistic physical systems are characterised by emergent interactions across multiple length and time scales, posing a significant challenge for predictive machine learning (ML) models. Most scientific ML models focus on a narrow range of interactions. While machine learning force fields (MLFFs) offer near-quantum accuracy, the ubiquitous message-passing layers miss long-range many-body effects. Here we