Karoliina Honkala

Professor, Vice Head of Department
Unit
Faculty of Mathematics and Science
Department / Division
Department of Chemistry
Organization unit
Kemian laitos, Fysikaalinen kemia
Room number
Email
karoliina.honkala@jyu.fi
Mobile
+358408053686
Postal address
Survontie 9
Fields of science
116 Chemical sciences

Publications

Publication
2025

Surface Science.
Kauppinen, Minttu M.
SÅ‚apa, Ewa N.
González, Escobedo José Luis
Puurunen, Riikka L.
Honkala, Karoliina
Publication
2025

Hybrid Advances. Elsevier.
Lisuzzo, Lorenzo
Murzin, Dmitry Yu.
Honkala, Karoliina
Publication
2025

ChemCatChem.
Honkala, Karoliina
Laverdure, Laura
Publication
2025

Journal of Chemical Physics.
Korpelin, Ville
Nevalaita, Janne
Melander, Marko M.
Honkala, Karoliina
Koskinen, Pekka
Publication
2025

Chemical Engineering Journal.
Zupanc, Anže
Install, Joseph
Weckman, Timo
Melander, Marko M.
Kemell, Marianna
Honkala, Karoliina
Repo, Timo
Publication
2025

Chemical Engineering Journal.
Hegazy, Sherif
Ibrahim, Hanan H.
Weckman, Timo
Hu, Tao
Tuomikoski, Sari
Lassi, Ulla
Honkala, Karoliina
Srivastava, Varsha
Publication
2024

Journal of Physical Chemistry C.
Lempelto, Aku
Kauppinen, Minttu
Honkala, Karoliina
Publication
2024

npj Computational Materials.
Melander, Marko M.
Wu, Tongwei
Weckman, Timo
Honkala, Karoliina
Publication
2024

Applied Catalysis O: Open.
Aho, Atte
Lind, Noora
Virtanen, Pasi
Mäki-Arvela, Päivi
Eränen, Kari
Granroth, Sari
Korpelin, Ville
Honkala, Karoliina
Russo, Vincenzo
Simakova, Irina
Murzin, Dmitry Yu.
Publication
2024

ACS Catalysis.
Oña, Jay Pee
Laverdure, Laura
Latonen, Rose Marie
Kumar, Narendra
Peurla, Markus
Angervo, Ilari
Honkala, Karoliina
Grénman, Henrik

Projects

Project

Hydrogen Production and Storage as an Enabler of Industrial Renewal in Central Finland -HyPER

The HyPER subproject at the Ä¢¹½Ö±²¥ is investigating cost-effective hydrogen storage materials and developing carbon, MOF and zeolite based materials for hydrogen storage.
Project

High performing machine learning for novel catalyst design (MLNovCat)

The consortium for the project is interdisciplinary, consisting of three groups at the Ä¢¹½Ö±²¥ that have demonstrated complementary expertise in the computational catalysis, materials science, and computational science.