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Tomas Rosén

Research interests

Rotation of non-spherical particles in canonical flows.
Advanced nanoscale characterization of cellulose nanofibrils and nanocrystals.

Find more about Tomas' research and research interest in the recordings of webinars and presentations: 

Background

Professional history

PhD student, KTH Mechanics 2011 – 2016
Thesis: Angular dynamics of non-spherical particles in linear flows related to production of biobased materials.


Postdoctoral researcher Stony Brook University (SBU)
2017 – 2019


Researcher Treesearch, KTH 2019 – 

Education


KTH Master of Science in Engineering Physics 2011


Paul Scherrer Institut, Villigen, Switzerland (PSI)
Thesis: Determination of water saturation dependent gas transport properties of PEFC gas diffusion layers via the Lattice Boltzmann method.

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]
J. Tian et al., "Probing the Self-Assembly dynamics of cellulose nanocrystals by X-ray photon correlation spectroscopy," Journal of Colloid and Interface Science, vol. 683, pp. 1077-1086, 2025.
[3]
K. Osawa et al., "Regulating nanofibril assembly using diverse flow-focusing channels," Flow, vol. 5, 2025.
[4]
R. Östmans et al., "Advanced characterization of nanocelluloses and their dispersions - linked to final material properties," (Manuscript).
[5]
K. Nygård et al., "ForMAX – a beamline for multiscale and multimodal structural characterization of hierarchical materials," Journal of Synchrotron Radiation, vol. 31, no. 2, pp. 363-377, 2024.
[6]
P. Wegele, T. Rosén and 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]
R. Wang et al., "Solvent-Dependent Dynamics of Cellulose Nanocrystals in Process-Relevant Flow Fields," Langmuir, vol. 40, no. 25, pp. 13319-13329, 2024.
[8]
F. Bragone et al., "Time Series Predictions Based on PCA and LSTM Networks : A Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils," in Computational Science – ICCS 2024 - 24th International Conference, 2024, Proceedings, 2024, pp. 209-223.
[9]
A. R. Motezakker et al., "Effect of Stiffness on the Dynamics of Entangled Nanofiber Networks at Low Concentrations," Macromolecules, vol. 56, no. 23, pp. 9595-9603, 2023.
[10]
T. Rosén et al., "Exploring nanofibrous networks with x-ray photon correlation spectroscopy through a digital twin," Physical review. E, vol. 108, no. 1, 2023.
Full list in the KTH publications portal