Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation

Research article (The Journal of Physical Chemistry Letters, 2019) · cited 291× · AI/ML
Press Enter · cited answer in seconds

Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation

Summary

Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation is a scholarly article[1].

Key Facts

  • Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation. Retrieved May 24, 2026, from https://4ort.xyz/entity/embedded-atom-neural-network-potentials-efficient-and-accurate-machine-learning-with-a-physically-inspired-representatio
MLA “Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/embedded-atom-neural-network-potentials-efficient-and-accurate-machine-learning-with-a-physically-inspired-representatio.
BibTeX @misc{4ortxyz_embedded-atom-neural-network-potentials-efficient-and-accurate-machine-learning-with-a-physically-inspired-representatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation}}, year = {2026}, url = {https://4ort.xyz/entity/embedded-atom-neural-network-potentials-efficient-and-accurate-machine-learning-with-a-physically-inspired-representatio}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation — https://4ort.xyz/entity/embedded-atom-neural-network-potentials-efficient-and-accurate-machine-learning-with-a-physically-inspired-representatio (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/embedded-atom-neural-network-potentials-efficient-and-accurate-machine-learning-with-a-physically-inspired-representatio · Last refreshed: