Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization

Research article (Computational Materials Science, 2020) · cited 41× · AI/ML
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Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization

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Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/inverse-design-of-composite-metal-oxide-optical-materials-based-on-deep-transfer-learning-and-global-optimization
MLA “Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/inverse-design-of-composite-metal-oxide-optical-materials-based-on-deep-transfer-learning-and-global-optimization.
BibTeX @misc{4ortxyz_inverse-design-of-composite-metal-oxide-optical-materials-based-on-deep-transfer-learning-and-global-optimization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization}}, year = {2026}, url = {https://4ort.xyz/entity/inverse-design-of-composite-metal-oxide-optical-materials-based-on-deep-transfer-learning-and-global-optimization}, note = {Accessed: 2026-05-24}}
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