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Band gap prediction for large organic crystal structures with machine
  learning

Band gap prediction for large organic crystal structures with machine learning

30 October 2018
B. Olsthoorn
R. Geilhufe
S. Borysov
A. Balatsky
    AI4CE
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Papers citing "Band gap prediction for large organic crystal structures with machine learning"

4 / 4 papers shown
Title
SchNetPack 2.0: A neural network toolbox for atomistic machine learning
SchNetPack 2.0: A neural network toolbox for atomistic machine learning
Kristof T. Schütt
Stefaan S. P. Hessmann
Niklas W. A. Gebauer
Jonas Lederer
M. Gastegger
32
59
0
11 Dec 2022
Prediction of superconducting properties of materials based on machine
  learning models
Prediction of superconducting properties of materials based on machine learning models
Jieying Hu
Yongquan Jiang
Yan Yang
Houchen Zuo
6
0
0
06 Nov 2022
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
Predicting Elastic Properties of Materials from Electronic Charge
  Density Using 3D Deep Convolutional Neural Networks
Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks
Yong Zhao
Kunpeng Yuan
Yinqiao Liu
Steph-Yves M. Louis
Ming Hu
Jianjun Hu
14
24
0
17 Mar 2020
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