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Data-Driven Property Prediction of Cellulose Nanofiber/h-BN Composites via RVE Modeling and Machine Learning

January 30, 2026

Research combining experimental methods with computational modeling to predict mechanical and thermal properties of composite materials containing cellulose nanofibers and hexagonal boron nitride.

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Ajimathew Lab

Department of Materials and Environmental Chemistry

Stockholm University

aji.mathew@su.se

Svante Arrhenius väg 16C

106 91 Stockholm, Sweden

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