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cond-mat.mtrl-sci2026
Physics adapted generative AI for metal insulator transition materials under label scarcity
Gourab Datta, Sarah Sharif, Zhisheng Shi +1
Metal-insulator-transition (MIT) materials are promising candidates for switchable electronics, neuromorphic hardware, and reconfigurable photonics, yet experimentally verified exa…
cond-mat.mtrl-sci2025
Synthesizability Prediction of Crystalline Structures with Structure-Aware Feature Learning and Uncertainty Quantification
Danial Ebrahimzadeh, Sarah Sharif, Yaser Mike Banad
Predicting which hypothetical inorganic crystals can be experimentally realized remains a central challenge in accelerating materials discovery. SyntheFormer is a positive-unlabele…