Atomic-scale defects govern many functional properties of materials, yet their systematic identification and quantification remain challenging because supervised learning approaches require extensive ...
ANN (artificial neural network): a computational model inspired by the structure and function of biological neural networks, capable of learning complex nonlinear relationships in data BLR (Bayesian ...
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