Advancing material property prediction: using physics-informed machine learning models for viscosity

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Advancing material property prediction: using physics-informed machine learning models for viscosity ; volume:16 ; number:1 ; day:14 ; month:3 ; year:2024 ; pages:1-14 ; date:12.2024
Journal of cheminformatics ; 16, Heft 1 (14.3.2024), 1-14, 12.2024

Creator: Chew, Alex K.
Sender, Matthew
Kaplan, Zachary
Chandrasekaran, Anand
Chief Elk, Jackson
Browning, Andrea R.
Kwak, H. Shaun
Halls, Mathew D.
Afzal, Mohammad Atif Faiz

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13321-024-00820-5

URN: urn:nbn:de:101:1-2405162113365.869988422201

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:56 AM CEST

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Chew, Alex K.
Sender, Matthew
Kaplan, Zachary
Chandrasekaran, Anand
Chief Elk, Jackson
Browning, Andrea R.
Kwak, H. Shaun
Halls, Mathew D.
Afzal, Mohammad Atif Faiz
SpringerLink (Online service)

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Advancing material property prediction: using physics-informed machine learning models for viscosity

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