Engineering and TechnologyCommunications Materials
Predicting Synthesizability of Crystalline Materials via Deep Learning
A. Davariashtiyani, Z. Kadkhodaie, et al.
Discover how a deep-learning model leverages three-dimensional images of crystal structures to predict the synthesizability of hypothetical crystals. This groundbreaking research, conducted by Ali Davariashtiyani, Zahra Kadkhodaie, and Sara Kadkhodaei, showcases an innovative approach to identifying viable materials for battery electrodes and thermoelectric applications.
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