Hierarchical Sensing Framework for Polymer Degradation Monitoring: A Physics-Constrained Reinforcement Learning Framework for Programmable Material Discovery.
- DOI
- 10.3390/s25144479
- Published
- 2025 Jul 18
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s25144479,
title = {Hierarchical Sensing Framework for Polymer Degradation Monitoring: A Physics-Constrained Reinforcement Learning Framework for Programmable Material Discovery.},
author = {Hu X and Zhao X and Liu W},
year = {2025},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s25144479},
url = {https://doi.org/10.3390/s25144479}
}RIS
TY - JOUR TI - Hierarchical Sensing Framework for Polymer Degradation Monitoring: A Physics-Constrained Reinforcement Learning Framework for Programmable Material Discovery. AU - Hu X AU - Zhao X AU - Liu W PY - 2025 JO - Sensors (Basel, Switzerland) DO - 10.3390/s25144479 UR - https://doi.org/10.3390/s25144479 ER -
APA
X, H., X, Z., & W, L. (2025). Hierarchical Sensing Framework for Polymer Degradation Monitoring: A Physics-Constrained Reinforcement Learning Framework for Programmable Material Discovery.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25144479
Source records
- pubmed · retrieved 2026-09-25T01:18:05.204Z