Home ›
Entities
› academia
› PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces
PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces
Research article (Journal of Chemical Theory and Computation, 2019) · cited 77× · AI/ML
PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces
Summary
PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces is a scholarly article[1].
Key Facts
PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces. Retrieved May 24, 2026, from https://4ort.xyz/entity/pes-learn-an-open-source-software-package-for-the-automated-generation-of-machine-learning-models-of-molecular-potential
MLA“PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pes-learn-an-open-source-software-package-for-the-automated-generation-of-machine-learning-models-of-molecular-potential.
BibTeX@misc{4ortxyz_pes-learn-an-open-source-software-package-for-the-automated-generation-of-machine-learning-models-of-molecular-potential_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces}}, year = {2026}, url = {https://4ort.xyz/entity/pes-learn-an-open-source-software-package-for-the-automated-generation-of-machine-learning-models-of-molecular-potential}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces — https://4ort.xyz/entity/pes-learn-an-open-source-software-package-for-the-automated-generation-of-machine-learning-models-of-molecular-potential (retrieved 2026-05-24)
