3 papers
stat.ML2025
Determination of Particle-Size Distributions from Light-Scattering Measurement Using Constrained Gaussian Process Regression
Fahime Seyedheydari, Mahdi Nasiri, Marcin Mińkowski +1
In this work, we propose a novel methodology for robustly estimating particle size distributions from optical scattering measurements using constrained Gaussian process regression.…
cond-mat.stat-mech2023
Estimating predictability of depinning dynamics by machine learning
Valtteri Haavisto, Marcin Mińkowski, Lasse Laurson
Predicting the future behaviour of complex systems exhibiting critical-like dynamics is often considered to be an intrinsically hard task. Here, we study the predictability of the…
physics.comp-ph2023
Predicting elastic and plastic properties of small iron polycrystals by machine learning
Marcin Mińkowski, Lasse Laurson
Deformation of crystalline materials is an interesting example of complex system behaviour. Small samples typically exhibit a stochastic-like, irregular response to externally appl…