Mikko Alava
Department:
NOMATEN
Group:
Materials Complexity
Research focus:
Modelling materials, understanding experimental data
ML expertise / Scientific Expertise:
Various approaches (SVD, CNN, Random Forests etc.)
Relevant publications:
- Machine learning plastic deformation of crystals, H Salmenjoki, MJ Alava, L Laurson, Nature communications 9 (1), 1-7 (2018).
- Machine learning and predicting the time-dependent dynamics of local yielding in dry foams, L Viitanen, JR Mac Intyre, J Koivisto, A Puisto, M Alava,, Physical Review Research 2 (2), 023338 (2020)
- Probing the transition from dislocation jamming to pinning by machine learning, H Salmenjoki, L Laurson, MJ Alava, Materials Theory 4 (1), 1-16 (2020)
Other:
enjoys drinking random things at random hours
