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Our work is accepted by Advanced Materials. Big congratulations!
Our work “Universal Ensemble-Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structure”, is accepted by Advanced Materials. In this work, we focus on optimized representation design by proposing a universal ensemble…
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AI method radically speeds predictions of materials’ thermal properties
The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
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Our work accepted by Applied Physics Review. Big congratulations!
Our work “Precise Fermi-level engineering in a topological Weyl semimetal via fast ion implantation,” led by Manasi and Abhijatmedhi, has been accepted by Applied Physics Review. In this work, we show that the state-of-the-art accelerator…
