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Predicting Hydrophobicity by Learning Spatiotemporal Features of Interfacial Water Structure: Combining Molecular Dynamics Simulations with Convolutional Neural Networks
Research article (The Journal of Physical Chemistry B, 2020) · cited 30× · AI/ML
Predicting Hydrophobicity by Learning Spatiotemporal Features of Interfacial Water Structure: Combining Molecular Dynamics Simulations with Convolutional Neural Networks
Summary
Predicting Hydrophobicity by Learning Spatiotemporal Features of Interfacial Water Structure: Combining Molecular Dynamics Simulations with Convolutional Neural Networks is a scholarly article[1].
Key Facts
Predicting Hydrophobicity by Learning Spatiotemporal Features of Interfacial Water Structure: Combining Molecular Dynamics Simulations with Convolutional Neural Networks's instance of is recorded as scholarly article[2].
References
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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). Predicting Hydrophobicity by Learning Spatiotemporal Features of Interfacial Water Structure: Combining Molecular Dynamics Simulations with Convolutional Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-hydrophobicity-by-learning-spatiotemporal-features-of-interfacial-water-structure-combining-molecular-dynamic
MLA“Predicting Hydrophobicity by Learning Spatiotemporal Features of Interfacial Water Structure: Combining Molecular Dynamics Simulations with Convolutional Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-hydrophobicity-by-learning-spatiotemporal-features-of-interfacial-water-structure-combining-molecular-dynamic.
BibTeX@misc{4ortxyz_predicting-hydrophobicity-by-learning-spatiotemporal-features-of-interfacial-water-structure-combining-molecular-dynamic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting Hydrophobicity by Learning Spatiotemporal Features of Interfacial Water Structure: Combining Molecular Dynamics Simulations with Convolutional Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-hydrophobicity-by-learning-spatiotemporal-features-of-interfacial-water-structure-combining-molecular-dynamic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting Hydrophobicity by Learning Spatiotemporal Features of Interfacial Water Structure: Combining Molecular Dynamics Simulations with Convolutional Neural Networks — https://4ort.xyz/entity/predicting-hydrophobicity-by-learning-spatiotemporal-features-of-interfacial-water-structure-combining-molecular-dynamic (retrieved 2026-05-24)
