Physics guided deep learning for generative design of crystal materials with symmetry constraints
2023 · npj Computational Materials · 102 citations
https://doi.org/10.1038/s41524-023-00987-9
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Edirisuriya M. Dilanga Siriwardane
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20
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Edirisuriya M. Dilanga Siriwardane is an academic researcher from University of Colombo. The author has contributed to research in topics: Machine Learning in Materials Science & MXene and MAX Phase Materials & X-ray Diffraction in Crystallography. The author has an h-index of 16, co-authored 55 publications.
ORCID: 0000-0001-8960-5273Papers by this author
worksMaterialsAtlas.org: a materials informatics web app platform for materials discovery and survey of state-of-the-art
2022 · npj Computational Materials · 46 citations
https://doi.org/10.1038/s41524-022-00750-6
Compressed Dataset pertaining to GATGNN-VOLTAGE
2022 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.19242975.v1
Compressed Datasets pertaining to GATGNN-VOLTAGE
2022 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.19242975.v2
Data
2022 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.19729576
Compressed Datasets pertaining to GATGNN-VOLTAGE
2022 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.19242975
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