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Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap?
Research article (Current Opinion in Solid State and Materials Science, 2024) · cited 15× · AI/ML
Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap?
Summary
Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap? is a scholarly article[1].
Key Facts
Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap?'s instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap?. Retrieved May 24, 2026, from https://4ort.xyz/entity/sampling-thermodynamic-ensembles-of-molecular-systems-with-generative-neural-networks-will-integrating-physics-based-mod
MLA“Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sampling-thermodynamic-ensembles-of-molecular-systems-with-generative-neural-networks-will-integrating-physics-based-mod.
BibTeX@misc{4ortxyz_sampling-thermodynamic-ensembles-of-molecular-systems-with-generative-neural-networks-will-integrating-physics-based-mod_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap?}}, year = {2026}, url = {https://4ort.xyz/entity/sampling-thermodynamic-ensembles-of-molecular-systems-with-generative-neural-networks-will-integrating-physics-based-mod}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap? — https://4ort.xyz/entity/sampling-thermodynamic-ensembles-of-molecular-systems-with-generative-neural-networks-will-integrating-physics-based-mod (retrieved 2026-05-24)
