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Spectroscopy-Guided Discovery of Three-Dimensional Structures of
  Disordered Materials with Diffusion Models

Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models

9 December 2023
H. Kwon
Tim Hsu
Wenyu Sun
Wonseok Jeong
Fikret Aydin
James Chapman
Xiao Chen
Matthew R. Carbone
Deyu Lu
Fei Zhou
Tuan Anh Pham
    DiffM
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Papers citing "Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models"

3 / 3 papers shown
Title
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra
Shubha R. Kharel
Fanchen Meng
Xiaohui Qu
Matthew R. Carbone
Deyu Lu
29
0
0
29 Sep 2024
Exploring Selective Layer Fine-Tuning in Federated Learning
Exploring Selective Layer Fine-Tuning in Federated Learning
Yuchang Sun
Yuexiang Xie
Bolin Ding
Yaliang Li
Jun Zhang
FedML
30
2
0
28 Aug 2024
Crystal Diffusion Variational Autoencoder for Periodic Material
  Generation
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie
Xiang Fu
O. Ganea
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
209
230
0
12 Oct 2021
1