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FrOGS: Discrete Neural Sampler for Independent Alloy Configurations Across Chemical Conditions
Predicting the thermodynamic properties of an alloy requires sampling its configurations across many chemical conditions and recovering free energies on a common absolute scale. Markov chain Monte Carlo (MCMC) is the standard tool, but it requires separate simulations at different conditions, and au
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