Accelerating vacancy diffusion calculations by a DFT informed modified gaussian process regression method: A case study of austenitic 316 stainless steel

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2026-02-28 00:00:00:0 谌贻琴在调研米兰冬残奥会备战工作时强调

https://doi.org/10.48550/arXiv.2602.18602

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