Work

Machine learning-guided design of cellulose-based hydrogels for predictive swelling and impact resistance

Year: 2026

Type: article

Source: Journal of Colloid and Interface Science

DOI: 10.1016/j.jcis.2026.140401

Authors: Onome Ejeromedoghene, Ephraim Akor, Huaguang Wang, Olayinka Oderinde, Muzammal Hussain, Zexin Zhang

Institutions: Soochow University, Redeemer's University, Nile University of Nigeria, Southeast University

Language: English

Topic: Hydrogels: synthesis, properties, applications

Subfield: Molecular Medicine

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions, Key Laboratory of Advanced Functional Materials of Jiangsu Province, State and Local Joint Engineering Laboratory for Novel Functional Polymeric Materials, Soochow University

Awards: G1176447045, 非球形胶体体系玻璃化转变的实验研究

OpenAlex ID: W7141074882

FWCI: 13.44

Cites: 44

Cited by: 7

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