Mikko Alava

Name
Mikko
Surname
Alava
Department
NOMATEN
Group
Materials Complexity
Research focus

Modelling materials, understanding experimental data

ML 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

Group membership



This project has received funding from the European Union Horizon 2020 research and innovation
programme under grant agreement No 857470 and from European Regional Development Fund
via Foundation for Polish Science International Research Agenda PLUS programme grant
No MAB PLUS/2018/8.
Poland
The project is co-financed from the state budget within the framework of the undertaking of the Minister of Science and Higher Education "Support for the activities of Centers of Excellence established under Horizon 2020".

Grant: 5 143 237,70 EUR
Total value: 29 971 365,00 EUR
Date of signing the funding agreement: December 2023

The purpose of the undertaking is to support entities of the higher education and science system that have received funding from the European Union budget in the competition H2020-WIDESPREAD-2018-2020/WIDESPREAD-01-2018-2019: Teaming Phase 2. in the preparation, implementation and updating of activities, maintenance of material resources necessary for carrying out activities, acquisition and modernization of scientific and research apparatus, maintenance and development of personnel potential necessary for the implementation of activities, and dissemination of the results of scientific activities.