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Bayesian inference of composition-dependent phase diagrams
Phase diagrams serve as a highly informative tool for materials design, encapsulating information about the phases that a material can manifest under specific conditions.
Accurate melting point prediction through autonomous physics-informed learning
We present an algorithm for computing melting points by autonomously learning from coexistence simulations in the NPT ensemble.
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