Frictional Properties of Two-Dimensional Materials: Data-Driven Machine Learning Predictive Modeling.
- DOI
- 10.1021/acsami.4c05532
- Published
- 2024 Jul 31
- Container
- ACS applied materials & interfaces
- Publisher
- Not recorded
- Open access
- no
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1021/acsami.4c05532,
title = {Frictional Properties of Two-Dimensional Materials: Data-Driven Machine Learning Predictive Modeling.},
author = {Barik RK and Woods LM},
year = {2024},
journal = {ACS applied materials \& interfaces},
doi = {10.1021/acsami.4c05532},
url = {https://doi.org/10.1021/acsami.4c05532}
}RIS
TY - JOUR TI - Frictional Properties of Two-Dimensional Materials: Data-Driven Machine Learning Predictive Modeling. AU - Barik RK AU - Woods LM PY - 2024 JO - ACS applied materials & interfaces DO - 10.1021/acsami.4c05532 UR - https://doi.org/10.1021/acsami.4c05532 ER -
APA
RK, B., & LM, W. (2024). Frictional Properties of Two-Dimensional Materials: Data-Driven Machine Learning Predictive Modeling.. ACS applied materials & interfaces. https://doi.org/10.1021/acsami.4c05532
Source records
- pubmed · retrieved 2026-09-25T17:41:18.045Z
- europe-pmc · retrieved 2026-09-25T17:41:18.070Z