68 citations · 379 across the 17 of their papers we have counts for
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cond-mat.supr-con2023★ 56 cited
Inverse Design of Next-generation Superconductors Using Data-driven Deep Generative Models
Daniel Wines, Tian Xie, Kamal Choudhary
Finding new superconductors with a high critical temperature () has been a challenging task due to computational and experimental costs. We present a diffusion model inspired…
cond-mat.supr-con2022★ 68 cited
High-Throughput DFT-Based Discovery of Next Generation Two-Dimensional (2D) Superconductors
Daniel Wines, Kamal Choudhary, Adam J. Biacchi +2
High-throughput density functional theory (DFT) calculations allow for a systematic search for conventional superconductors. With the recent interest in two-dimensional (2D) superc…