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physics.chem-ph2026
A strategic roadmap for an atomistic machine-learning ecosystem
Jörg Behler, Michele Ceriotti, Cecilia Clementi +47
Data-driven machine learning (ML) techniques have become an essential tool in many domains of science. Their application to atomistic simulations of matter is particularly widespre…
physics.bio-ph2026★ 1 cited
Temperature transferable Machine Learned Coarse Grained model for proteins
Jacopo Venturin, Cecilia Clementi
Coarse-grained (CG) molecular simulations offer an efficient alternative to atomistic molecular dynamics to study large and complex biological systems. The accuracy of CG simulatio…