157 citations · 478 across the 13 of their papers we have counts for
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cond-mat.mtrl-sci2020★ 3 cited
Response to Comment on "Low-frequency lattice phonons in halide perovskites explain high defect tolerance toward electron-hole recombination"
Weibin Chu, Qijing Zheng, Oleg V. Prezhdo +2
Recently we proposed that defect tolerance in the hybrid perovskites is due to their characteristic low-frequency lattice phonon modes that decrease the non-adiabatic coupling and…
cond-mat.mtrl-sci2020★ 48 cited
Optimization and Validation of a Deep Learning CuZr Atomistic Potential: Robust Applications for Crystalline and Amorphous Phases with near-DFT Accuracy
Christopher M. Andolina, Philip Williamson, Wissam A. Saidi
We show that a deep-learning neural network potential (DP) based on density functional theory (DFT) calculations can well describe Cu-Zr materials, an example of a binary alloy sys…