Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework
Summary
Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework is a scholarly article[1].
Key Facts
Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework'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). Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-physics-informed-constitutive-metamodeling-of-complex-fluids-a-multifidelity-neural-network-mfnn-framework