From the 1 of 2 linked papers with an AI index.
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Materials Behavior as Mechanism Ensembles: A Probabilistic Framework for Emergent Behaviors
Brad L. Boyce, Mitchell A. Wood, Krishna Garikipati +16
The paper proposes a probabilistic framework that treats material behavior as an ensemble of competing mechanisms, using fatigue crack propagation as an example to show how mechani…
Physically Interpretable Interatomic Potentials via Symbolic Regression and Reinforcement Learning
Bilvin Varughese, Troy D. Loeffler, Suvo Banik +9
The development of next-generation molecular simulation models requires moving beyond pre-defined functional forms toward machine learning (ML) techniques that directly capture mul…
Data-driven discovery of dynamics from time-resolved coherent scattering
Nina Andrejevic, Tao Zhou, Qingteng Zhang +3
Coherent X-ray scattering (CXS) techniques are capable of interrogating dynamics of nano- to mesoscale materials systems at time scales spanning several orders of magnitude. Howeve…