Mikko Alava

Professori
Professori
T304 Dept. Applied Physics
Full researcher profile
https://research.aalto.fi/...
Telefonnummer
+358504132152

Forskningsgrupp

  • Complex Systems and Materials, Professor

Publikationer

Growth and prediction of plastic strain in metallic glasses

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

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

From structure to multifunctional performance: Fibrous cellulose for advancing phase change materials

Maryam Roza Yazdani McCord, Roozbeh Abidnejad, Hossein Baniasadi, Ziba Fathi, Mahyar Fazeli, Juha Lipponen, Juha Koivisto, Julie B. Zimmerman, Eero Kontturi, Ari Seppälä, Mikko Alava 2026 Renewable and Sustainable Energy Reviews

Characterizing the radiation-induced defect behavior in Inconel 617 through molecular dynamics simulations

Amin Esfandiarpour, Tomasz Stasiak, Zbigniew Kozioł, Jarosław Jasiński, Łukasz Kurpaska, Mikko Alava 2025 Journal of Nuclear Materials

Comparative study on radiation resistance of WTaCrV high-entropy alloy and tungsten in helium-containing conditions

Amin Esfandiarpour, Damian Kalita, Zbigniew Kozioł, Mikko Alava 2025 Scientific Reports

Exploring the impact of Ti/Al on L1₂ nanoprecipitation and deformation behavior in CoNiFeAlTi multi-principal element alloys through atomistic simulations

Amin Esfandiarpour, Anshul D.S. Parmar, Silvia Bonfanti, Pawel Sobkowicz, Byeong Joo Lee, Mikko Alava 2025 Journal of Alloys and Compounds

Machine Learning Applied to High Entropy Alloys under Irradiation

Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko Alava, Antoni Wadowski, Wenyi Huo, Łukasz Kurpaska, Michał Pecelerowicz, Jan S. Wróbel 2025 Advanced Engineering Materials

Data-driven body-centered cubic phase prediction in cobalt-free high-entropy alloys

Xuliang Luo, Yulin Li, Tero Mäkinen, Silvia Bonfanti, Wenyi Huo, Mikko J. Alava 2025 Materials Today Communications

Bayesian optimization to infer parameters in viscoelasticity

Isaac Y. Miranda-Valdez, Tero Mäkinen, Juha Koivisto, Mikko J. Alava 2025 Journal of Rheology

pyRheo : an open-source Python package for complex rheology

Isaac Y. Miranda-Valdez, Aaro Niinistö, Tero Mäkinen, Juha Lejon, Juha Koivisto, Mikko J. Alava 2025 Digital Discovery