Chen, Chi

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Chen, C., Ye, W., Zuo, Y., Zheng, C., & Ong, S. P. (2019) · Chemistry of Materials

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

Cited by 1,552

Recent advances and applications of deep learning methods in materials science

Choudhary, K., DeCost, B., Chen, C., Jain, A., Tavazza, F., Cohn, R., Park, C. W., Choudhary, A., Agrawal, A., Billinge, S. J. L., et al. (2022) · npj Computational Materials

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

Cited by 1,172

A universal graph deep learning interatomic potential for the periodic table

Chen, C., & Ong, S. P. (2022) · Nature Computational Science

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

Cited by 1,140

Performance and Cost Assessment of Machine Learning Interatomic Potentials

Zuo, Y., Chen, C., Li, X., Deng, Z., Chen, Y., Behler, J., Csányi, G., Shapeev, A. V., Thompson, A. P., Wood, M. A., et al. (2020) · The Journal of Physical Chemistry A

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

Cited by 968

A Critical Review of Machine Learning of Energy Materials

Chen, C., Zuo, Y., Ye, W., Li, X., Deng, Z., & Ong, S. P. (2020) · Advanced Energy Materials

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

Cited by 609

In situ synthesis of mesoporous manganese oxide/sulfur-doped graphitized carbon as a bifunctional catalyst for oxygen evolution/reduction reactions

Gao, Y., Zhao, H., Chen, D., Chen, C., & Ciucci, F. (2015) · Carbon

Electrocatalysts for Energy ConversionSupercapacitor Materials and Fabrication

Cited by 79