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Decoding Structure-Spectrum Relationships with Physically Organized
  Latent Spaces

Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces

PHYSICAL REVIEW MATERIALS (Phys. Rev. Mater.), 2023
11 January 2023
Zhu Liang
Matthew R. Carbone
Wei Chen
Fanchen Meng
Eli Stavitski
D. Lu
M. Hybertsen
Xiaohui Qu
ArXiv (abs)PDFHTMLGithub

Papers citing "Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces"

2 / 2 papers shown
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption SpectraPHYSICAL REVIEW MATERIALS (PRM), 2024
Shubha R. Kharel
Fanchen Meng
Xiaohui Qu
Matthew R. Carbone
Deyu Lu
470
0
0
29 Sep 2024
Diffusion probabilistic models enhance variational autoencoder for
  crystal structure generative modeling
Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modelingScientific Reports (Sci Rep), 2023
T. Pakornchote
Natthaphon Choomphon-anomakhun
Sorrjit Arrerut
C. Atthapak
S. Khamkaeo
Thiparat Chotibut
T. Bovornratanaraks
DiffM
223
35
0
04 Aug 2023
1
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