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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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The rule of four: anomalous distributions in the stoichiometries of inorganic compounds
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From individual elements to macroscopic materials: in search of new superconductors via machine learning
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Combined study of phase transitions in the P2-type NaXNi1/3Mn2/3O2 cathode material: experimental, ab-initio and multiphase-field results
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Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets