Stefan Chmiela
According to our database1,
Stefan Chmiela
authored at least 8 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on id.loc.gov
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on d-nb.info
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on dl.acm.org
On csauthors.net:
Bibliography
2023
From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields.
CoRR, 2023
2022
Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence.
CoRR, 2022
Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields.
CoRR, 2022
2021
Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems.
CoRR, 2021
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects.
CoRR, 2021
2019
sGDML: Constructing accurate and data efficient molecular force fields using machine learning.
Comput. Phys. Commun., 2019
2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017