Record link: 
http://hdl.handle.net/20.500.12708/222989
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Title: 
msmJAX: Fast and Differentiable Electrostatics on the GPU in Python
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Citation: 
Buchner, F., Schörghuber, J., Unglert, N., Carrete, J., & Madsen, G. K. H. (2025). msmJAX: Fast and Differentiable Electrostatics on the GPU in Python. In PSI-K 2025 : abstracts book (pp. 83–83).
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Buchner, Florian 
Schörghuber, Johannes 
Unglert, Nico 
Carrete, Jesús 
Madsen, Georg Kent Hellerup 
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Organisational Unit: 
E165-03-1 - Forschungsgruppe Theoretische Materialchemie 
E056-04 - Fachbereich TU-DX: Towards Applications of 2D Materials 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
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Published in: 
PSI-K 2025 : abstracts book 
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Date (published): 
2025
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Event name: 
PSI-K 2025 
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Event date: 
25-Aug-2025 - 28-Aug-2025
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Event place: 
Lausanne, Switzerland
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Number of Pages: 
1
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Keywords: 
electrostatics; machine-learned interatomic potentials; atomic differentiation
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Research Areas: 
Modeling and Simulation: 50%
Computational Materials Science: 50%
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Science Branch: 
1040 - Chemie: 100%
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Appears in Collections:
Conference Paper

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