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NIMS Award Symposium 2026

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Machine learning for atomic forces in a crystalline solid: Transferability to various temperatures
(機械学習による結晶固体の力場:様々な温度へのトランスファラビリティ)

Teppei Suzuki, Ryo Tamura, Tsuyoshi Miyazaki.

NIMS author(s)


Fulltext and dataset(s) on Materials Data Repository (MDR)


    Created at: 2016-11-30 23:47:40 +0900 Updated at: 2026-10-29 04:24:15 +0900

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