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: 
  1. Machine learning plastic deformation of crystals, H Salmenjoki, MJ Alava, L Laurson, Nature communications 9 (1), 1-7 (2018).
  2. 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)
  3. 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