RheologyNet: A physics-informed neural network solution to evaluate the thixotropic properties of cementitious materials
Summary
RheologyNet: A physics-informed neural network solution to evaluate the thixotropic properties of cementitious materials is a scholarly article[1].
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RheologyNet: A physics-informed neural network solution to evaluate the thixotropic properties of cementitious materials's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). RheologyNet: A physics-informed neural network solution to evaluate the thixotropic properties of cementitious materials. Retrieved May 24, 2026, from https://4ort.xyz/entity/rheologynet-a-physics-informed-neural-network-solution-to-evaluate-the-thixotropic-properties-of-cementitious-materials
MLA“RheologyNet: A physics-informed neural network solution to evaluate the thixotropic properties of cementitious materials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rheologynet-a-physics-informed-neural-network-solution-to-evaluate-the-thixotropic-properties-of-cementitious-materials.
BibTeX@misc{4ortxyz_rheologynet-a-physics-informed-neural-network-solution-to-evaluate-the-thixotropic-properties-of-cementitious-materials_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RheologyNet: A physics-informed neural network solution to evaluate the thixotropic properties of cementitious materials}}, year = {2026}, url = {https://4ort.xyz/entity/rheologynet-a-physics-informed-neural-network-solution-to-evaluate-the-thixotropic-properties-of-cementitious-materials}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RheologyNet: A physics-informed neural network solution to evaluate the thixotropic properties of cementitious materials — https://4ort.xyz/entity/rheologynet-a-physics-informed-neural-network-solution-to-evaluate-the-thixotropic-properties-of-cementitious-materials (retrieved 2026-05-24)
