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.