Home ›
Entities
› academia
› A nearsighted force-training approach to systematically generate training data for the machine learning of large atomic structures
A nearsighted force-training approach to systematically generate training data for the machine learning of large atomic structures
Research article (The Journal of Chemical Physics, 2022) · cited 13× · AI/ML
A nearsighted force-training approach to systematically generate training data for the machine learning of large atomic structures
Summary
A nearsighted force-training approach to systematically generate training data for the machine learning of large atomic structures is a scholarly article[1].
Key Facts
A nearsighted force-training approach to systematically generate training data for the machine learning of large atomic structures'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). A nearsighted force-training approach to systematically generate training data for the machine learning of large atomic structures. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-nearsighted-force-training-approach-to-systematically-generate-training-data-for-the-machine-learning-of-large-atomic-
MLA“A nearsighted force-training approach to systematically generate training data for the machine learning of large atomic structures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-nearsighted-force-training-approach-to-systematically-generate-training-data-for-the-machine-learning-of-large-atomic-.
BibTeX@misc{4ortxyz_a-nearsighted-force-training-approach-to-systematically-generate-training-data-for-the-machine-learning-of-large-atomic-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A nearsighted force-training approach to systematically generate training data for the machine learning of large atomic structures}}, year = {2026}, url = {https://4ort.xyz/entity/a-nearsighted-force-training-approach-to-systematically-generate-training-data-for-the-machine-learning-of-large-atomic-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A nearsighted force-training approach to systematically generate training data for the machine learning of large atomic structures — https://4ort.xyz/entity/a-nearsighted-force-training-approach-to-systematically-generate-training-data-for-the-machine-learning-of-large-atomic- (retrieved 2026-05-24)
