Neural network kinetics for exploring diffusion multiplicity and chemical ordering in compositionally complex materials
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DOI: 10.1038/s41467-024-47927-9
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- Sheng Yin & Yunxing Zuo & Anas Abu-Odeh & Hui Zheng & Xiang-Guo Li & Jun Ding & Shyue Ping Ong & Mark Asta & Robert O. Ritchie, 2021. "Atomistic simulations of dislocation mobility in refractory high-entropy alloys and the effect of chemical short-range order," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
- Ruopeng Zhang & Shiteng Zhao & Jun Ding & Yan Chong & Tao Jia & Colin Ophus & Mark Asta & Robert O. Ritchie & Andrew M. Minor, 2020. "Short-range order and its impact on the CrCoNi medium-entropy alloy," Nature, Nature, vol. 581(7808), pages 283-287, May.
- Sang-Heon Kim & Hansoo Kim & Nack J. Kim, 2015. "Brittle intermetallic compound makes ultrastrong low-density steel with large ductility," Nature, Nature, vol. 518(7537), pages 77-79, February.
- Ying Yang & Tianyi Chen & Lizhen Tan & Jonathan D. Poplawsky & Ke An & Yanli Wang & German D. Samolyuk & Ken Littrell & Andrew R. Lupini & Albina Borisevich & Easo P. George, 2021. "Bifunctional nanoprecipitates strengthen and ductilize a medium-entropy alloy," Nature, Nature, vol. 595(7866), pages 245-249, July.
- Keith T. Butler & Daniel W. Davies & Hugh Cartwright & Olexandr Isayev & Aron Walsh, 2018. "Machine learning for molecular and materials science," Nature, Nature, vol. 559(7715), pages 547-555, July.
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