| Revisiting the Volmer–Heyrovský mechanism of hydrogen evolution on a nitrogen doped carbon nanotube: constrained molecular dynamics versus the nudged elastic band method R Kronberg, H Lappalainen, K Laasonen Physical Chemistry Chemical Physics 22 (19), 10536-10549, 2020 | 46 | 2020 |
| Hydrogen adsorption on defective nitrogen-doped carbon nanotubes explained via machine learning augmented DFT calculations and game-theoretic feature attributions R Kronberg, H Lappalainen, K Laasonen The Journal of Physical Chemistry C 125 (29), 15918-15933, 2021 | 22 | 2021 |
| Data-driven materials science: reaction databases for machine learning assisted catalyst design H Lappalainen | 1 | 2021 |
| Environmental impacts of lithium hydroxide monohydrate production from spodumene concentrate–A simulation-based life cycle assessment H Lappalainen, M Rinne, H Elomaa, J Aromaa, M Lundström Minerals Engineering 209, 108632, 2024 | | 2024 |
| Life cycle assessment of electrochemical and mechanical energy storage systems M Lundahl, H Lappalainen, M Rinne, M Lundström Energy Reports 10, 2036-2046, 2023 | | 2023 |
| Assessment of environmental impacts of lithium hydroxide production via soda leaching route H Lappalainen, M Rinne, H Elomaa, J Aromaa, M Lundström European Metallurgical Conference, 2023 | | 2023 |
| Cellulose-based Substrates in Atomic Layer Deposition H Lappalainen | | 2018 |
| The tuning of the anti-sway system of crane H Lappalainen | | 2004 |
