Interpretable Machine Learning for Thermal Conductivity Prediction of Silica Aerogel-Incorporated Cementitious Composites.

Zhang J, Liang N

Open source

DOI
10.3390/gels12080714
Published
2026 Aug 12
Container
Gels (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/gels12080714,
  title = {Interpretable Machine Learning for Thermal Conductivity Prediction of Silica Aerogel-Incorporated Cementitious Composites.},
  author = {Zhang J and Liang N},
  year = {2026},
  journal = {Gels (Basel, Switzerland)},
  doi = {10.3390/gels12080714},
  url = {https://doi.org/10.3390/gels12080714}
}

RIS

TY  - JOUR
TI  - Interpretable Machine Learning for Thermal Conductivity Prediction of Silica Aerogel-Incorporated Cementitious Composites.
AU  - Zhang J
AU  - Liang N
PY  - 2026
JO  - Gels (Basel, Switzerland)
DO  - 10.3390/gels12080714
UR  - https://doi.org/10.3390/gels12080714
ER  - 

APA

J, Z., & N, L. (2026). Interpretable Machine Learning for Thermal Conductivity Prediction of Silica Aerogel-Incorporated Cementitious Composites.. Gels (Basel, Switzerland). https://doi.org/10.3390/gels12080714

Source records