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An international team of researchers has developed a new method for parameterizing machine-learning interatomic potentials (MLIP) to simulate magnetic materials, making the prediction of their ...
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Tech Xplore on MSNPredicting material failure: Machine learning spots early abnormal grain growth signs for safer designsA team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline ...
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