People | Complex Systems | Tampere Universities

Lasse Laurson

Professor
laskennallinen fysiikka
Faculty of Engineering and Natural Sciences
Tampere University
+358505455387
lasse.laurson@tuni.fi

https://orcid.org/0000-0001-6627-3915

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About me

I am a Professor working at the Computational Physics Laboratory, and leader of the Complex Systems research group. Our research field is physics of complex systems, especially numerical modelling of collective phenomena in materials. Lately we have focused on modelling of domain wall dynamics in ferromagnets, plastic deformation of crystalline solids, and crack propagation in disordered solids.

Research topics

Numerical modelling of collective phenomena in materials, e.g., plastic deformation of crystals, domain wall dynamics in disordered ferromagnets, and crack propagation in disordered solids. We exploit also machine learning to gain novel insights on the complex dynamics exhibited by such systems.

Research fields

Computational physics, statistical physics, physics of complex systems, materials physics

Project links

Main positions of trust

Selected publications

Selected recent publications (for more publication, see the research group home page: research.tuni.fi/cs/publications):

A. Skaugen and L. Laurson, Depinning exponents of thin film domain walls depend on disorder strength, Phys. Rev. Lett. 128, 097202 (2022).
M. Sarvilahti, A. Skaugen, and L. Laurson, Machine learning depinning of dislocation pileups, APL Mater. 8, 101109 (2020).
T. Mäkinen, P. Karppinen, M. Ovaska, L. Laurson, and M.J. Alava, Propagating bands of plastic deformation in a metal alloy as critical avalanches, Sci. Adv. 6, eabc7350 (2020).
A. Skaugen, P. Murray, and L. Laurson, Analytical computation of the demagnetizing energy of thin film domain walls, Phys. Rev. B 100, 094440 (2019).
T. Herranen and L. Laurson, Barkhausen noise from precessional domain wall motion, Phys. Rev. Lett. 122, 117205 (2019).
H. Salmenjoki, M. J. Alava, and L. Laurson, Machine learning plastic deformation of crystals, Nat. Commun. 9, 5307 (2018).

Own links

Sami Kaappa

Postdoctoral Research Fellow
Faculty of Engineering and Natural Sciences
Tampere University
sami.kaappa@tuni.fi

https://orcid.org/0000-0001-6989-6077

More information

About me

My background is in atomic scale (DFT) simulations of large molecules and materials, and machine-learning enhanced global optimization of atomic structures.

Responsibilities

Currently, I am working as simulation expert in the project that aims to connect the microstructure and the Barkhausen noise signal of ferromagnetic materials, as described here in more detail:

https://www.tuni.fi/en/research/magnetic-barkhausen-noise-fundamental-physics-non-destructive-testing-barfume

Eetu Honkanen

Doctoral Researcher
Faculty of Engineering and Natural Sciences
Tampere University
eetu.honkanen@tuni.fi

Mika Sarvilahti

Doctoral Researcher
Faculty of Engineering and Natural Sciences
Tampere University
mika.sarvilahti@tuni.fi

https://orcid.org/0000-0003-2142-6206

More information

Sanni Nousiainen

Research Assistant
Faculty of Engineering and Natural Sciences
Tampere University
sanni.nousiainen@tuni.fi

Tuuli Sillanpää

Research Assistant
Faculty of Engineering and Natural Sciences
Tampere University
tuuli.sillanpaa@tuni.fi

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