An invertible, invariant crystal representation for inverse design of solid-state materials using generative deep learning
2023 · Nature Communications · 52 citations
https://doi.org/10.1038/s41467-023-42870-7
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Hang Xiao
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Hang Xiao is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: 2D Materials and Applications & Carbon Dioxide Capture Technologies & MXene and MAX Phase Materials. The author has an h-index of 32, co-authored 118 publications.
ORCID: 0000-0002-0565-6696Papers by this author
works(1) Training datasets for RNNs; intermediate and final results of the inverse design of direct narrow-gap semiconductors for optical applications. (2) Benchmark data: reconstruction benchmark, materials generation benchmark, property optimization benchmark.
2023 · Figshare · 1 citations
https://doi.org/10.6084/m9.figshare.22707472
SLICES-PLUS: A crystal representation leveraging spatial symmetry
2025 · Materials & Design · 1 citations
https://doi.org/10.1016/j.matdes.2025.113856
Training datasets for RNNs; intermediate and final results of the inverse design of direct narrow-gap semiconductors for optical applications.
2023 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.22707472.v1
A Novel Mechanism for Curcumin’s Cancer-Fighting Effects: A Genius Action of Gut Microbiota
2025 · Current Developments in Nutrition · 0 citations
https://doi.org/10.1016/j.cdnut.2025.106382
Ultra-high capacity quaternized PET for moisture-swing CO2 capture from air
2025 · Separation and Purification Technology · 0 citations
https://doi.org/10.1016/j.seppur.2025.135629
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