A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules
Summary
A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules is a scholarly article[1].
Key Facts
A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-neural-network-based-algorithm-for-high-throughput-characterisation-of-viscoelastic-properties-of-flowing-microcapsule
MLA“A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-neural-network-based-algorithm-for-high-throughput-characterisation-of-viscoelastic-properties-of-flowing-microcapsule.
BibTeX@misc{4ortxyz_a-neural-network-based-algorithm-for-high-throughput-characterisation-of-viscoelastic-properties-of-flowing-microcapsule_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules}}, year = {2026}, url = {https://4ort.xyz/entity/a-neural-network-based-algorithm-for-high-throughput-characterisation-of-viscoelastic-properties-of-flowing-microcapsule}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules — https://4ort.xyz/entity/a-neural-network-based-algorithm-for-high-throughput-characterisation-of-viscoelastic-properties-of-flowing-microcapsule (retrieved 2026-05-24)
