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Physics-informed neural networks for capturing the true relationships between parameters to predict the dynamic triaxial strength of rocks in cold environments
Research article (Measurement, 2025) · cited 14× · AI/ML
Physics-informed neural networks for capturing the true relationships between parameters to predict the dynamic triaxial strength of rocks in cold environments
Summary
Physics-informed neural networks for capturing the true relationships between parameters to predict the dynamic triaxial strength of rocks in cold environments is a scholarly article[1].
Key Facts
Physics-informed neural networks for capturing the true relationships between parameters to predict the dynamic triaxial strength of rocks in cold environments's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Physics-informed neural networks for capturing the true relationships between parameters to predict the dynamic triaxial strength of rocks in cold environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/physics-informed-neural-networks-for-capturing-the-true-relationships-between-parameters-to-predict-the-dynamic-triaxial
MLA“Physics-informed neural networks for capturing the true relationships between parameters to predict the dynamic triaxial strength of rocks in cold environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/physics-informed-neural-networks-for-capturing-the-true-relationships-between-parameters-to-predict-the-dynamic-triaxial.
BibTeX@misc{4ortxyz_physics-informed-neural-networks-for-capturing-the-true-relationships-between-parameters-to-predict-the-dynamic-triaxial_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Physics-informed neural networks for capturing the true relationships between parameters to predict the dynamic triaxial strength of rocks in cold environments}}, year = {2026}, url = {https://4ort.xyz/entity/physics-informed-neural-networks-for-capturing-the-true-relationships-between-parameters-to-predict-the-dynamic-triaxial}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Physics-informed neural networks for capturing the true relationships between parameters to predict the dynamic triaxial strength of rocks in cold environments — https://4ort.xyz/entity/physics-informed-neural-networks-for-capturing-the-true-relationships-between-parameters-to-predict-the-dynamic-triaxial (retrieved 2026-05-24)
