2 papers
cond-mat.mtrl-sci2020
Inverse Design of Composite Metal Oxide Optical Materials based on Deep Transfer Learning
Rongzhi Dong, Yabo Dan, Xiang Li +1
Optical materials with special optical properties are widely used in a broad span of technologies, from computer displays to solar energy utilization leading to large dataset accum…
cs.LG2019
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
Yabo Dan, Yong Zhao, Xiang Li +3
A major challenge in materials design is how to efficiently search the vast chemical design space to find the materials with desired properties. One effective strategy is to develo…