3 papers
cond-mat.stat-mech2025
Crack propagation by activated avalanches during creep and fatigue from elastic interface theory
Tero Mäkinen, Lumi Tuokkola, Joonas Lahikainen +3
The growth of cracks combines materials science, fracture mechanics, and statistical physics. The importance of fluctuations in the crack velocity is fundamental since it signals t…
cond-mat.soft2025
Bayesian optimization to infer parameters in viscoelasticity
Isaac Y. Miranda-Valdez, Tero Mäkinen, Juha Koivisto +1
Inferring viscoelasticity parameters is a key challenge that often leads to non-unique solutions when fitting rheological data. In this context, we propose a machine learning appro…
cond-mat.soft2024
pyRheo: An open-source Python package for complex rheology
Isaac Y. Miranda-Valdez, Aaro Niinistö, Tero Mäkinen +3
Mathematical modeling is a powerful tool in rheology, and we present pyRheo, an open-source package for Python designed to streamline the analysis of creep, stress relaxation, osci…