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Prediction of the electron density of states for crystalline compounds
  with Atomistic Line Graph Neural Networks (ALIGNN)

Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN)

20 January 2022
Prathik R. Kaundinya
K. Choudhary
S. Kalidindi
ArXivPDFHTML

Papers citing "Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN)"

3 / 3 papers shown
Title
Equivariant Neural Operator Learning with Graphon Convolution
Equivariant Neural Operator Learning with Graphon Convolution
Chaoran Cheng
Jian-wei Peng
16
3
0
17 Nov 2023
Artificial Intelligence in Material Engineering: A review on
  applications of AI in Material Engineering
Artificial Intelligence in Material Engineering: A review on applications of AI in Material Engineering
Lipichanda Goswami
Manoj Deka
Mohendra Roy
AI4CE
42
19
0
15 Sep 2022
Edge Direction-invariant Graph Neural Networks for Molecular Dipole
  Moments Prediction
Edge Direction-invariant Graph Neural Networks for Molecular Dipole Moments Prediction
Yang Jeong Park
GNN
23
1
0
26 Jun 2022
1