Establishing rheological models of lignin-based solutions via molecular parameters using machine learning 2024 (English)In: Industrial crops and products (Print), ISSN 0926-6690, E-ISSN 1872-633X, Vol. 222, article id 119701Article in journal (Refereed) Published

Place, publisher, year, edition, pages

Elsevier B.V. , 2024. Vol. 222, article id 119701

National Category

Physical Chemistry

Research subject

Energy Engineering

Identifiers

URN: urn:nbn:se:ltu:diva-110199DOI: 10.1016/j.indcrop.2024.119701ISI: 001324403200001Scopus ID: 2-s2.0-85204455659OAI: oai:DiVA.org:ltu-110199DiVA, id: diva2:1903157

Funder

Swedish Energy Agency, No. 45957–1

Note

Validerad;2024;Nivå 2;2024-10-03 (joosat);

Funder: National Natural Science Foundation of China (Grant Nos. 22178160 and 22208141); State Key Laboratory of Materials-Oriented Chemical Engineering (Grant/Award Number: ZK202005); Natural Science Foundation of Jiangsu Province, China (Grant No. BK20220349);

Available from: 2024-10-03 Created: 2024-10-03 Last updated: 2025-10-21Bibliographically approved

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Ji, Xiaoyan

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