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20132026
most citedOn the Dopability of Semiconductors and Governing Material Properties

51 citations · 80 across the 9 of their papers we have counts for

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cond-mat.mtrl-sci2024★ 13 cited

Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning

Bowen Deng, Yunyeong Choi, Peichen Zhong +6

Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. Recent advancements have seen the emergence of universal MLIPs (uMLIPs) that…