Band gap prediction for large organic crystal structures with machine
learning

v1v2v3v4 (latest)

Band gap prediction for large organic crystal structures with machine learning

30 October 2018

ArXiv (abs)PDF HTML

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 Kristof T. Schütt Stefaan S. P. Hessmann Niklas W. A. Gebauer Jonas Lederer M. Gastegger 83 65 0 11 Dec 2022
Prediction of superconducting properties of materials based on machine learning models Jieying Hu Yongquan Jiang Yan Yang Houchen Zuo 42 0 0 06 Nov 2022
Machine learning frontier orbital energies of nanodiamonds Thorren Kirschbaum B. V. Seggern J. Dzubiella A. Bande Frank Noé AI4CE 72 3 0 30 Sep 2022
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 55 26 0 17 Mar 2020