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Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties
Research article (Digital Discovery, 2023) · cited 25× · AI/ML
Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties
Summary
Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties is a scholarly article[1].
Key Facts
Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-approaches-to-the-prediction-of-powder-flow-behaviour-of-pharmaceutical-materials-from-physical-propert
MLA“Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-approaches-to-the-prediction-of-powder-flow-behaviour-of-pharmaceutical-materials-from-physical-propert.
BibTeX@misc{4ortxyz_machine-learning-approaches-to-the-prediction-of-powder-flow-behaviour-of-pharmaceutical-materials-from-physical-propert_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-approaches-to-the-prediction-of-powder-flow-behaviour-of-pharmaceutical-materials-from-physical-propert}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties — https://4ort.xyz/entity/machine-learning-approaches-to-the-prediction-of-powder-flow-behaviour-of-pharmaceutical-materials-from-physical-propert (retrieved 2026-05-24)
