High performing machine learning for novel catalyst design (MLNovCat)

Main funder

Funder's project number351583

Funds granted by main funder (€)

  • 230 664,00

Funding program

Project timetable

Project start date01/01/2022

Project end date31/12/2024


Development of new machine learning solvers and data-driven models on GPU infrastructure with applications to novel electrocatalyst design.

Principal Investigator

Other persons related to this project (JYU)

Primary responsible unit

Follow-up groups

Profiling areaNanoscience Center (Department of Physics PHYS, JYFL) (Faculty of Mathematics and Science) (Department of Chemistry CHEM) (Department of Biological and Environmental Science BIOENV) NSC

Related publications and other outputs

Related research datasets

Last updated on 2023-29-08 at 14:52