Scaling deep learning for materials discovery
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DOI: 10.1038/s41586-023-06735-9
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Cited by:
- Chang Jiang & Hongyuan He & Hongquan Guo & Xiaoxin Zhang & Qingyang Han & Yanhong Weng & Xianzhu Fu & Yinlong Zhu & Ning Yan & Xin Tu & Yifei Sun, 2024. "Transfer learning guided discovery of efficient perovskite oxide for alkaline water oxidation," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Gaétan de Rassenfosse & Adam B. Jaffe & Joel Waldfogel, 2024.
"Intellectual Property and Creative Machines,"
NBER Chapters, in: Entrepreneurship and Innovation Policy and the Economy, volume 4,
National Bureau of Economic Research, Inc.
- Gaétan de Rassenfosse & Adam B. Jaffe & Joel Waldfogel, 2024. "Intellectual Property and Creative Machines," NBER Working Papers 32698, National Bureau of Economic Research, Inc.
- Gaétan de Rassenfosse & Adam Jaffe & Joal Waldfogel, 2024. "Intellectual Property and Creative Machines," Working Papers 27, Chair of Science, Technology, and Innovation Policy.
- David Buterez & Jon Paul Janet & Steven J. Kiddle & Dino Oglic & Pietro Lió, 2024. "Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
- Ziduo Yang & Yi-Ming Zhao & Xian Wang & Xiaoqing Liu & Xiuying Zhang & Yifan Li & Qiujie Lv & Calvin Yu-Chian Chen & Lei Shen, 2024. "Scalable crystal structure relaxation using an iteration-free deep generative model with uncertainty quantification," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
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