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Found 2 papers, 1 papers with code
Machine Learning Directed Optimization of Classical Molecular Modeling Force Fields
We discuss the challenges and implications of our force field optimization workflow.
Chemical Physics
Learning and Optimization with Bayesian Hybrid Models
We then use the posterior distribution from Bayesian analysis to compute optimal firing conditions to hit a target via a single-stage stochastic program.
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