Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization
Rongzhi Dong, Yabo Dan, Li Xiang, Jianjun Hu
Topics & Concepts
Bayesian optimizationComputer scienceArtificial neural networkCharacterization (materials science)Absorption (acoustics)InverseTransfer of learningGenetic algorithmInverse problemDeep learningMaterials scienceArtificial intelligenceAlgorithmMachine learningNanotechnologyMathematicsGeometryMathematical analysisComposite materialMachine Learning in Materials ScienceTransition Metal Oxide NanomaterialsIndustrial Vision Systems and Defect Detection