High performing machine learning for novel catalyst design (MLNovCat)

Main funder

Funder's project number: 351583

Funds granted by main funder (€)

  • 230 664,00

Funding program

Project timetable

Project start date: 01/01/2022

Project end date: 31/12/2024


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

Internal follow-up group

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

Last updated on 2022-06-07 at 12:45