This page lists publications since September 2018 when the Complex Systems group was established at Tampere University. A complete list of publications of the group leader is available by clicking the "Complete list of publications'" link:

# Publications

## Publications

### 2023

### D. Spasojevic, M. Marinkovic, D. Jovkovic, S. Janicevic, L. Laurson, and A. Djordjevic

Barkhausen noise in disordered strip-like ferromagnets: experiment vs. simulations, submitted (2023).

### S. Santa-aho, M. Honkanen, S. Kaappa, R. Azzari, A. Saren, K. Ullakko, L. Laurson, and M. Vippola

Multi-Instrumental Approach to Domain Walls and Their Movement in Ferromagnetic Steels - Origin of Barkhausen Noise Studied by Microscopy Techniques, Mater. Des. 234, 112308 (2023).

### H. Salmenjoki, S. Papanikolaou, D. Shi, D. Tourret, C.M. Cepeda-Jiménez, M. T. Pérez-Prado, L. Laurson, and M. J. Alava

Machine learning dislocation density correlations and solute effects in Mg-based alloys, Sci. Rep. 13, 11114 (2023).

### E. Paakkunainen, L. Laurson, and P. Rasilo

Coupled 2-D FEM and 1-D Micromagnetic Model for Transverse Anisotropy Tape-Wound Magnetic Cores, IEEE Trans. Magn. 59, 7400604 (2023).

### S. Kaappa and L. Laurson

Barkhausen noise from formation of 360° domain walls in disordered permalloy thin films, Phys. Rev. Research 5, L022006 (2023).

### M. Mińkowski and L. Laurson

Predicting elastic and plastic properties of small iron polycrystals by machine learning, Sci. Rep. 13, 13977 (2023).

### D. Kurunczi-Papp and L. Laurson

Avalanches and rate effects in strain-controlled discrete dislocation plasticity of Al single crystals, Phys. Rev. Materials 7, 013605 (2023).

### 2022

### M. Sarvilahti and L. Laurson

Bayesian optimization of discrete dislocation plasticity of two-dimensional precipitation-hardened crystals, Phys. Rev. Materials 6, 123801 (2022).

### E. Toivonen, M. Molkkari, E. Räsänen, and L. Laurson

Asymmetric roughness of elastic interfaces at the depinning threshold, Phys. Rev. Lett. 129, 175701 (2022).

### J. Savolainen, L. Laurson, and M. J. Alava

Effect of thresholding on avalanches and their clustering for interfaces with long-range elasticity, Phys. Rev. E 105, 054152 (2022)

### T. Hochrainer, L. Laurson, S. Papanikolaou, G. Po, and R. B. Sills

Characterization of dislocation ensembles: measures and complexity, Materials Theory 6, 16 (2022)

### T. Mäkinen, M. Ovaska, L. Laurson, and M. J. Alava

Portevin-Le Chatelier effect: modeling the deformation bands and stress-strain curves, Materials Theory 6, 15 (2022).

### A. Skaugen and L. Laurson

Depinning exponents of thin film domain walls depend on disorder strength, Phys. Rev. Lett. 128, 097202 (2022).

### M. Mińkowski, D. Kurunczi-Papp, and L. Laurson

Machine learning reveals strain-rate-dependent predictability of discrete dislocation plasticity, Phys. Rev. Materials 6, 023602 (2022).

### 2021

### M. Honkanen, S. Santa-aho, L. Laurson, N. Eslahi, A. Foi, and M. Vippola

Mimicking Barkhausen noise measurement by in-situ transmission electron microscopy - Effect of microstructural steel features on Barkhausen noise, Acta Mater. 221, 117378 (2021)

### D. Kurunczi-Papp and L. Laurson

Dislocation avalanches from strain-controlled loading: A discrete dislocation dynamics study, Phys. Rev. E 104, 025008 (2021). Selected as part of a PRE Spotlight on Dislocation Dynamics.

### H. Salmenjoki, L. Laurson, and M. J. Alava

Avalanche correlations and stress-strain curves in discrete dislocation plasticity, Phys. Rev. Materials 5, 073601 (2021).

### D. Jovkovic, S. Janicevic, S. Mijatovic, L. Laurson, and D. Spasojevic

The effects of external noise on threshold induced correlations in ferromagnetic systems, Phys. Rev. E 103, 062114 (2021).

### P. K. Jana, J. Lam, R. Mangal, M. J. Alava, N. Parveen, and L. Laurson

Impurity-induced nematic-isotropic transition of liquid crystals, Phys. Chem. Chem. Phys. 23, 8825-8835 (2021)

### 2020

### 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).

### H. Salmenjoki, L. Laurson, and M. J. Alava

Probing the transition from dislocation jamming to pinning by machine learning, Materials Theory 4, 5 (2020)

### T. Mäkinen, J. Koivisto, L. Laurson, and M. J. Alava

Scale-free features of temporal localization of deformation in late stages of creep failure, Phys. Rev. Materials 4, 093606 (2020).

### H. Salmenjoki, A. Lehtinen, L. Laurson, and M. J. Alava

Plastic yielding and deformation bursts in the presence of disorder from coherent precipitates, Phys. Rev. Materials 4, 083602 (2020).

### 2019

### I. Rissanen and L. Laurson

Bursty magnetic friction between polycrystalline thin films with domain walls, Phys. Rev. B 100, 144408 (2019).

### A. Skaugen, P. Murray and L. Laurson

Analytical computation of the demagnetizing energy of thin film domain walls, Phys. Rev. B 100, 094440 (2019).

### I. Rissanen and L. Laurson

Magnetic non-contact friction from domain wall dynamics actuated by oscillatory mechanical motion, J. Phys. D: Appl. Phys. 52, 445002 (2019).

### J. Hütner, T. Herranen, and L. Laurson

Multistep Bloch-line-mediated Walker breakdown in ferromagnetic strips, Phys. Rev. B 99, 174427 (2019).

### T. Herranen and L. Laurson

Barkhausen noise from precessional domain wall motion, Phys. Rev. Lett. 122, 117205 (2019).

### S. Santucci, K.-T. Tallakstad, L. Angheluta, L. Laurson, R. Toussaint, and K. J. Måløy

Avalanches and extreme value statistics in interfacial crackling dynamics, Phil. Trans. R. Soc. A 377, 20170394 (2019).

### 2018

### H. Salmenjoki, M. J. Alava, and L. Laurson

Machine learning plastic deformation of crystals, Nat. Commun. 9, 5307 (2018).

### H. Salmenjoki, M. J. Alava, and L. Laurson

Mimicking complex dislocation dynamics by interaction networks, Eur. Phys. J. B 91, 275 (2018).

### M. A. Zaidan, V. Haapasilta, R. Relan, H. Junninen, P. P. Aalto, M. Kulmala, L. Laurson, and A. S. Foster

Predicting atmospheric particle formation days by Bayesian classification of the time series features, Tellus B 70, 1445379 (2018).