Work

Physics-Informed Machine Learning for the Prediction of Thermal Conductivity from IR Images

Year: 2025

Type: article

Source: ACS Applied Materials & Interfaces

DOI: 10.1021/acsami.5c19562

Authors: Shinto Mundackal Francis, Andrew Ferebee, Sajib Kumar Mohonta, Adeep Sen, Pooja Puneet, Yi Ding, Ramakrishna Podila

Institutions: Clemson University, United States Army Combat Capabilities Development Command, U.S. Army Combat Capabilities Development Command Ground Vehicle System Center

Language: English

Topic: Thermal properties of materials

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: CCDC Ground Vehicle Systems Center, South Carolina EPSCoR

Awards: G3785774638, G8012227854, G920464859

OpenAlex ID: W4417000983

FWCI: 0.848

Cites: 30

Cited by: 4

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