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Author Correction:Understanding phase transitions of α-quartz under dynamic compression conditions by machine-learning driven atomistic simulations
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《npj Computational Materials》 2025年第1期1779-1779,共1页
In this article,reference 43 was incorrectly given as‘Erhard,L.C.,Rohrer,V.,Albe,K.,and Deringer,V.L.,Modelling atomic and nanoscale structure in the silicon-oxygen system through active machine learning,https://arxi... In this article,reference 43 was incorrectly given as‘Erhard,L.C.,Rohrer,V.,Albe,K.,and Deringer,V.L.,Modelling atomic and nanoscale structure in the silicon-oxygen system through active machine learning,https://arxiv.org/abs/2309.03587(2023)’and should have read‘Erhard,L.C.,Rohrer,J.,Albe,K.et al.Modelling atomic and nanoscale structure in the silicon–oxygen system through active machine learning.Nat Commun 15,1927(2024).https://doi.org/10.1038/s41467-024-45840-9’. 展开更多
关键词 active machine learninghttps arxivorg abs silicon oxygen syste QUARTZ dynamic compression phase transitions atomic nanoscale structure machine learning driven atomistic simulations
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