Daniel Söderberg
Daniel Söderberg is professor and Head of Division for Fibre Processes. He is also the director for Treesearch , the Swedish platform for collaboration on the research on material from the forest.
Recent publications
[1]
F. Bragone et al., "Automatic learning analysis of flow-induced birefringence in cellulose nanofibrils," Journal of Computational Science, vol. 85, 2025.
[2]
R. Östmans et al., "Advanced characterization of nanocelluloses and their dispersions - linked to final material properties," (Manuskript).
[3]
P. Wegele och D. Söderberg, "Experimental method for investigating the dynamic compression behaviour of fibre-reinforced polyurethane shoe press belts under press nip conditions," Composites Part C: Open Access, vol. 14, 2024.
[4]
K. Nygård et al., "ForMAX – a beamline for multiscale and multimodal structural characterization of hierarchical materials," Journal of Synchrotron Radiation, vol. 31, no. 2, s. 363-377, 2024.
[5]
M. Betker et al., "Micrometer‐Thin Nanocellulose Foils for 3D Organic Electronics," Advanced Functional Materials, vol. 34, no. 40, 2024.
[6]
P. Wegele, T. Rosén och D. Söderberg, "Multiphase distribution in partly saturated hierarchical nonwoven fibre networks under applied load using X-ray computed tomography," Experiments in Fluids, vol. 65, no. 9, 2024.
[7]
Z. Yao et al., "New opportunities for time-resolved imaging using diffraction-limited storage rings," Journal of Synchrotron Radiation, vol. 31, no. Pt 5, s. 1299-1307, 2024.
[8]
C. Harder et al., "Poly(sobrerol methacrylate) Colloidal Inks Sprayed onto Cellulose Nanofibril Thin Films for Anticounterfeiting Applications," ACS Applied Nano Materials, vol. 7, no. 9, s. 10840-10851, 2024.
[9]
F. Bragone et al., "Time Series Predictions Based on PCA and LSTM Networks : A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils," i Computational Science – ICCS 2024 - 24th International Conference, 2024, Proceedings, 2024, s. 209-223.
[10]
A. R. Motezakker et al., "Effect of Stiffness on the Dynamics of Entangled Nanofiber Networks at Low Concentrations," Macromolecules, vol. 56, no. 23, s. 9595-9603, 2023.