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Found 2 papers, 1 papers with code
MultiShifter: software to generate structural models of extended two-dimensional defects in 3D and 2D crystals
Extended defects in crystals, such as dislocations, stacking faults and grain boundaries, play a crucial role in determining a wide variety of materials properties.
Materials Science
Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys
Specifically, we have developed an integrable deep neural network (IDNN) that can be trained to free energy derivative data obtained from atomic scale models and statistical mechanics, then analytically integrated to recover a free energy density function.
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