People

Mikko Alava

Professori
Professori
T304 Dept. Applied Physics
Full researcher profile
https://research.aalto.fi/...
Email
mikko.alava@aalto.fi
Phone number
+358504132152

Honors and awards

Prize for teaching excellence, Aalto School of Science, 2014 (for the physics education reform)

Award or honor granted for a specific work Department of Applied Physics Jan 2014

Distinguished Referee, Europhysics Letters (European Physical Society, 2016)

Award or honor granted for a specific work Department of Applied Physics Jan 2016

Outstanding Referee, American Physical Society (2011, 8th Finnish physicist)

Award or honor granted for a specific work Department of Applied Physics Jan 2011

Nordita Corresponding Fellow 2001-2004

Award or honor granted for academic or artistic career Department of Applied Physics Jan 2001

John S. Bates –prize (2004), Pulp and Paper Association of Canada

Award or honor granted for a specific work Department of Applied Physics Jan 2004

Research groups

  • Complex Systems and Materials, Professor

Publications

A home warmed by nature slows climate change / Designs for a Cooler Planet

Tayma Dadssi, Jingyi Deng, Johanna Hyrkäs, Matti Kuittinen, Magda Posani, Mikko Alava, Juha Koivisto, Junjie Li, Anmol Bhattarai, Juha Lejon 2026

Nonlinear dimensionality reduction and Bayesian optimization for accelerating design of materials

Muhammad Osman Nadeem Farooqui, Isaac Y. Miranda-Valdez, Tero Mäkinen, Juha Koivisto, Mikko J. Alava 2026 Scientific Reports

Transmutation-accelerated sampling method for multicomponent ZrCu(Al) metallic glasses

Filip Kaśkosz, Rene Alvarez-Donado, Mikko Alava, Anshul D.S. Parmar, Silvia Bonfanti 2026 Physical Review E

Data-driven prediction of thin-film metallic glass forming ability via Bayesian classification and experimental verification in the Cu–Zr–Al system

Xuliang Luo, Tero Mäkinen, Wenyi Huo, Silvia Bonfanti, Zhehao Chen, Kenichiro Mizohata, Kostas Sarakinos, Mikko Alava 2026 RSC Advances

Growth and prediction of plastic strain in metallic glasses

Tero Mäkinen, Anshul D.S. Parmar, Silvia Bonfanti, Mikko J. Alava 2026 Physical Review Materials

Fractional rheology of methylcellulose thermogelation

Isaac Y. Miranda-Valdez, Jesús G. Puente-Córdova, Tero Mäkinen, Juha Koivisto, Gareth H. McKinley, Mikko J. Alava 2026 Journal of Rheology

Stochastic ion emission perturbation mechanisms in atom probe tomography : Linking simulations to experiment

Aslam Shaikh, Tero Mäkinen, François Vurpillot, Mikko Alava, Ivan Lomakin 2026 Physical Review Materials

Gaussian Process Regression Applied to Atom Probe Tomography Data Reconstruction

Teemu Turpeinen, Aslam Shaikh, Tero Mäkinen, Nuutti Hyvönen, Mikko Alava, Ivan Lomakin 2026 Microscopy and Microanalysis

Efficient training of machine learning potentials for metallic glasses : CuZrAl validation

Antoni Wadowski, Anshul D.S. Parmar, Filip Kaśkosz, Jesper Byggmästar, Jan S. Wróbel, Mikko J. Alava, Silvia Bonfanti 2026 Materials and Design

Machine-learned interatomic potential for large-scale simulations of the CrCoNi medium-entropy alloys

Yong Chao Wu, Tero Mäkinen, Mikko Alava, Amin Esfandiarpour 2026 Communications Materials