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Computational Progress of High Entropy Materials
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Collection: Transport Mechanisms in Energy Materials
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Collection: Machine Learning of Defects in Crystals
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Machine vision-based detections of transparent chemical vessels toward the safe automation of material synthesis
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JARVIS-Leaderboard: a large scale benchmark of materials design methods
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Complexity of many-body interactions in transition metals via machine-learned force fields from the TM23 data set
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Composition and state prediction of lithium-ion cathode via convolutional neural network trained on scanning electron microscopy images