On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods

Research article (Journal of Chemical Information and Modeling, 2022) · cited 42× · AI/ML
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On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods

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On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-the-value-of-using-3d-shape-and-electrostatic-similarities-in-deep-generative-methods
MLA “On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-the-value-of-using-3d-shape-and-electrostatic-similarities-in-deep-generative-methods.
BibTeX @misc{4ortxyz_on-the-value-of-using-3d-shape-and-electrostatic-similarities-in-deep-generative-methods_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods}}, year = {2026}, url = {https://4ort.xyz/entity/on-the-value-of-using-3d-shape-and-electrostatic-similarities-in-deep-generative-methods}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods — https://4ort.xyz/entity/on-the-value-of-using-3d-shape-and-electrostatic-similarities-in-deep-generative-methods (retrieved 2026-05-24)

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