Convolutional Neural Network of Atomic Surface Structures To Predict Binding Energies for High-Throughput Screening of Catalysts

Convolutional Neural Network of Atomic Surface Structures To Predict Binding Energies for High-Throughput Screening of Catalysts. Back, S., Yoon, J., Tian, N., Zhong, W., Tran, K., & Ulissi, Z. W. The Journal of Physical Chemistry Letters, 10(15):4401-4408, 7, 2019.

Paper doi bibtex 23 downloads

@article{back2019convolutional,
author = {Back, Seoin and Yoon, Junwoong and Tian, Nianhan and Zhong, Wen and Tran, Kevin and Ulissi, Zachary W.},
title = {Convolutional Neural Network of Atomic Surface Structures To Predict Binding Energies for High-Throughput Screening of Catalysts},
journal = {The Journal of Physical Chemistry Letters},
volume = {10},
number = {15},
pages = {4401-4408},
year = {2019},
  month={7},
doi = {10.1021/acs.jpclett.9b01428},

URL = { 
        https://doi.org/10.1021/acs.jpclett.9b01428
    
},
eprint = { 
        https://doi.org/10.1021/acs.jpclett.9b01428
    
},


}

Downloads: 23