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Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM
Research article (Tribology International, 2024) · cited 10× · AI/ML
Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM
Summary
Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM is a scholarly article[1].
Key Facts
Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/physics-informed-machine-learning-for-tribological-properties-prediction-of-s32750-cfrpeek-tribopair-under-seawater-lubr
MLA“Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/physics-informed-machine-learning-for-tribological-properties-prediction-of-s32750-cfrpeek-tribopair-under-seawater-lubr.
BibTeX@misc{4ortxyz_physics-informed-machine-learning-for-tribological-properties-prediction-of-s32750-cfrpeek-tribopair-under-seawater-lubr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/physics-informed-machine-learning-for-tribological-properties-prediction-of-s32750-cfrpeek-tribopair-under-seawater-lubr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Physics-Informed machine learning for tribological properties prediction of S32750/CFRPEEK tribopair under seawater lubrication via PISSA-CNN-LSTM — https://4ort.xyz/entity/physics-informed-machine-learning-for-tribological-properties-prediction-of-s32750-cfrpeek-tribopair-under-seawater-lubr (retrieved 2026-05-24)
