activity
20222025
most citedWood compression in four-dimensional in situ tomography

7 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech2025★ 1 cited

Creep failure in heterogeneous materials from the barrier landscape

Juan Carlos Verano-Espitia, Tero Mäkinen, Mikko J. Alava +1

Stressed under a constant load, materials creep with a final acceleration of deformation and for any given applied stress and material, the creep failure time can strongly vary. We…

cond-mat.soft2025★ 1 cited

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.mtrl-sci2024

Bayesian exploration of the composition space of CuZrAl metallic glasses for mechanical properties

Tero Mäkinen, Anshul D. S. Parmar, Silvia Bonfanti +1

Designing metallic glasses in silico is a major challenge in materials science given their disordered atomic structure and the vast compositional space to explore. Here, we tackle…

cond-mat.stat-mech2024★ 4 cited

Effect of quenched heterogeneity on creep lifetimes of disordered materials

Juan Carlos Verano-Espitia, Jérôme Weiss, David Amitrano +2

We revisit the problem of describing creep in heterogeneous materials by an effective temperature by considering more realistic (and complex) non-mean-field elastic redistribution…

cond-mat.stat-mech2022★ 7 cited

Wood compression in four-dimensional in situ tomography

Tero Mäkinen, Alisa Halonen, Juha Koivisto +1

Wood deformation, in particular when subject to compression, exhibits scale-free avalanche-like behavior as well as structure-dependent localization of deformation. We have taken t…