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RETRACTED ARTICLE: Comparing ANI-2x, ANI-1ccx neural networks, force field, and DFT methods for predicting conformational potential energy of organic molecules
Research article (Scientific Reports, 2024) · cited 17× · AI/ML
RETRACTED ARTICLE: Comparing ANI-2x, ANI-1ccx neural networks, force field, and DFT methods for predicting conformational potential energy of organic molecules
Summary
RETRACTED ARTICLE: Comparing ANI-2x, ANI-1ccx neural networks, force field, and DFT methods for predicting conformational potential energy of organic molecules is a scholarly article[1].
Key Facts
RETRACTED ARTICLE: Comparing ANI-2x, ANI-1ccx neural networks, force field, and DFT methods for predicting conformational potential energy of organic molecules's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). RETRACTED ARTICLE: Comparing ANI-2x, ANI-1ccx neural networks, force field, and DFT methods for predicting conformational potential energy of organic molecules. Retrieved May 24, 2026, from https://4ort.xyz/entity/retracted-article-comparing-ani-2x-ani-1ccx-neural-networks-force-field-and-dft-methods-for-predicting-conformational-po
MLA“RETRACTED ARTICLE: Comparing ANI-2x, ANI-1ccx neural networks, force field, and DFT methods for predicting conformational potential energy of organic molecules.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/retracted-article-comparing-ani-2x-ani-1ccx-neural-networks-force-field-and-dft-methods-for-predicting-conformational-po.
BibTeX@misc{4ortxyz_retracted-article-comparing-ani-2x-ani-1ccx-neural-networks-force-field-and-dft-methods-for-predicting-conformational-po_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RETRACTED ARTICLE: Comparing ANI-2x, ANI-1ccx neural networks, force field, and DFT methods for predicting conformational potential energy of organic molecules}}, year = {2026}, url = {https://4ort.xyz/entity/retracted-article-comparing-ani-2x-ani-1ccx-neural-networks-force-field-and-dft-methods-for-predicting-conformational-po}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RETRACTED ARTICLE: Comparing ANI-2x, ANI-1ccx neural networks, force field, and DFT methods for predicting conformational potential energy of organic molecules — https://4ort.xyz/entity/retracted-article-comparing-ani-2x-ani-1ccx-neural-networks-force-field-and-dft-methods-for-predicting-conformational-po (retrieved 2026-05-24)
