Müller, K.-R.
Korea University · Max Planck Institute for Informatics · Technische Universität Berlin
2 papers on CoChat
Most cited papers
- Verified
SchNet – A deep learning architecture for molecules and materials
Schütt, K. T., Sauceda, H. E., Kindermans, P.-J., Tkatchenko, A., & Müller, K.-R. (2018) · The Journal of Chemical Physics
Machine Learning in Materials ScienceAdvanced Chemical Physics Studies
Cited by 2,217
- Verified
Quantum-chemical insights from deep tensor neural networks
Schütt, K. T., Arbabzadah, F., Chmiela, S., Müller, K. R., & Tkatchenko, A. (2017) · Nature Communications
Machine Learning in Materials ScienceAdvanced Chemical Physics Studies
Cited by 1,445
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