Home ›
Entities
› academia
› Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration
Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration
Research article (Reliability Engineering & System Safety, 2024) · cited 30× · AI/ML
Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration
Summary
Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration is a scholarly article[1].
Key Facts
Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration. Retrieved May 24, 2026, from https://4ort.xyz/entity/simulation-free-reliability-analysis-with-importance-sampling-based-adaptive-training-physics-informed-neural-networks-m
MLA“Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simulation-free-reliability-analysis-with-importance-sampling-based-adaptive-training-physics-informed-neural-networks-m.
BibTeX@misc{4ortxyz_simulation-free-reliability-analysis-with-importance-sampling-based-adaptive-training-physics-informed-neural-networks-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration}}, year = {2026}, url = {https://4ort.xyz/entity/simulation-free-reliability-analysis-with-importance-sampling-based-adaptive-training-physics-informed-neural-networks-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration — https://4ort.xyz/entity/simulation-free-reliability-analysis-with-importance-sampling-based-adaptive-training-physics-informed-neural-networks-m (retrieved 2026-05-24)
