Physics-Informed Machine Learning for the Prediction of Thermal Conductivity from IR Images
- DOI
- 10.1021/acsami.5c19562
- Published
- 2025-12-04
- Container
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acsami.5c19562,
title = {Physics-Informed Machine Learning for the Prediction of Thermal Conductivity from IR Images},
author = {Shinto Mundackal Francis and Andrew Ferebee and Sajib Kumar Mohonta and Adeep Sen and Pooja Puneet and Yi Ding and Ramakrishna Podila},
year = {2025},
journal = {ACS Applied Materials \& Interfaces},
doi = {10.1021/acsami.5c19562},
url = {https://doi.org/10.1021/acsami.5c19562}
}RIS
TY - JOUR TI - Physics-Informed Machine Learning for the Prediction of Thermal Conductivity from IR Images AU - Shinto Mundackal Francis AU - Andrew Ferebee AU - Sajib Kumar Mohonta AU - Adeep Sen AU - Pooja Puneet AU - Yi Ding AU - Ramakrishna Podila PY - 2025 JO - ACS Applied Materials & Interfaces DO - 10.1021/acsami.5c19562 UR - https://doi.org/10.1021/acsami.5c19562 ER -
APA
Francis, S. M., Ferebee, A., Mohonta, S. K., Sen, A., Puneet, P., Ding, Y., & Podila, R. (2025). Physics-Informed Machine Learning for the Prediction of Thermal Conductivity from IR Images. ACS Applied Materials & Interfaces. https://doi.org/10.1021/acsami.5c19562
Source records
- crossref · retrieved 2026-09-26T08:51:58.334Z