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Physically inspired atom-centered symmetry functions for the construction of high dimensional neural network potential energy surfaces
Physically inspired atom-centered symmetry functions for the construction of high dimensional neural network potential energy surfaces
Summary
Physically inspired atom-centered symmetry functions for the construction of high dimensional neural network potential energy surfaces is a scholarly article[1].
Key Facts
Physically inspired atom-centered symmetry functions for the construction of high dimensional neural network potential energy surfaces's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Physically inspired atom-centered symmetry functions for the construction of high dimensional neural network potential energy surfaces. Retrieved May 24, 2026, from https://4ort.xyz/entity/physically-inspired-atom-centered-symmetry-functions-for-the-construction-of-high-dimensional-neural-network-potential-e
MLA“Physically inspired atom-centered symmetry functions for the construction of high dimensional neural network potential energy surfaces.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/physically-inspired-atom-centered-symmetry-functions-for-the-construction-of-high-dimensional-neural-network-potential-e.
BibTeX@misc{4ortxyz_physically-inspired-atom-centered-symmetry-functions-for-the-construction-of-high-dimensional-neural-network-potential-e_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Physically inspired atom-centered symmetry functions for the construction of high dimensional neural network potential energy surfaces}}, year = {2026}, url = {https://4ort.xyz/entity/physically-inspired-atom-centered-symmetry-functions-for-the-construction-of-high-dimensional-neural-network-potential-e}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Physically inspired atom-centered symmetry functions for the construction of high dimensional neural network potential energy surfaces — https://4ort.xyz/entity/physically-inspired-atom-centered-symmetry-functions-for-the-construction-of-high-dimensional-neural-network-potential-e (retrieved 2026-05-24)
