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MDTS: automatic complex materials design using Monte Carlo tree search
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Structure prediction of boron-doped graphene by machine learning
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Monte Carlo tree search for materials design and discovery
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Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
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Microbubble flows in superwettable fluidic channels
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SuperMat: Construction of a linked annotated dataset from superconductors-related publications
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Free Analysis and Visualization Programs for Electrochemical Impedance Spectroscopy Coded in Python
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A universal Bayesian inference framework for complicated creep constitutive equations
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Data-based selection of creep constitutive models for high-Cr heat-resistant steel
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Emergent dynamics of neuromorphic nanowire networks
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