We are grateful to the agencies that fund our research efforts, either directly or indirectly through computer time, traveling grants or support for events. Our main current sponsors are the Academy of Finland, CSC – IT Center for Science, Aalto University and the European Research Council through the HPC-Europa3 program. Below is a list of grants that have been secured by our group.
Funding and scholarships
Legend: Currently running or upcoming grants are highlighted in green; past grants are highlighted in blue. Abbreviations: PI (Principal Investigator); CoPI (co-Principal Investigator); CoI (co-Investigator).
| Agency/organization | Project name | Miguel Caro’s involvement | Period | Amount |
| European Union’s EuroHPC Joint Undertaking (Inno4scale) | Adding physics-inspired interactions for fast and accurate machine-learning interatomic potentials across scales (XCALE) – link | PI + Consortium Coordinator | 01.02.2024 – 31.01.2025 (1 year) | 177 551 EUR* *132 660 EUR for Miguel Caro’s subproject |
| Research Council of Finland (Research Project) | Atomic-scale design of new carbon-based materials (ATCAR) – link | PI | 01.09.2023 – 31.08.2027 (4 years) | 528 053 EUR |
| M-ERA.net (EU COFUND: Academy of Finland, Rannís and European Commission) | NAnoCArbon materials for sustainable Battery technology (NACAB consortium) – link | PI + Consortium Coordinator | 01.09.2022 – 31.08.2025 (3 years) | 774 734 EUR* *200 000 EUR for Miguel Caro’s subproject |
| Academy of Finland EuroHPC | Exascale-ready machine learning force fields (ExaFF consortium) – link | PI + Consortium Coordinator | 01.01.2022 – 31.12.2024 (3 years) | 1 011 240 EUR* *435 108 EUR for Miguel Caro’s subproject |
| Academy of Finland Research Fellow | Next-generation interatomic potentials to simulate new cellulose-based materials (NEXTCELL) – link1, link2, link3 | PI | 01.09.2020 – 31.08.2025 (5 years) | 838 874 EUR* *438 874 EUR are allocated initially as personal funding for the PI and 400k EUR for costs are allocated afterwards in two separate stages |
| Academy of Finland (Targeted project funding – C1 Value programme) | Formation of CO, CH4 and CH3OH by electrochemical reduction of CO2 (SIMCAT) – link | PI | 01.01.2020 – 31.12.2023 (4 years) | 565 859 EUR |
| Academy of Finland (Project Funding for Early-Career Researchers) | Towards accurate computational experimentation (COMPEX): machine-learning-driven simulation of nanocarbon synthesis – link | PI | 01.09.2019 – 31.08.2023 (4 years) | 586 447 EUR |
| Aalto University Materials Platform (Seed Funding) | TurboGAP: Accelerated machine-learning-driven molecular dynamics for accurate computational experimentation | PI | 01.012019 – 31.12.2019 (1 year) | 30 000 EUR |
| Academy of Finland (Postdoctoral Researcher) | Accurate computational electrochemistry from density functional theory and multiscale atomistic simulations – link | PI | 01.09.2017 – 31.08.2020 (3 years) | 281 190 EUR |
| Academy of Finland (Project Funding) | First-principles Electrochemistry (FIRE) – link | CoI (PI Prof. Tomi Laurila) | 01.09.2015 – 31.08.2018 (3 years) | 479 185 EUR |
CPU time
Legend: major grants in green, minor grants in blue. Abbreviations: PI (Principal Investigator); CoPI (co-Principal Investigator); CoI (co-Investigator).
| Agency/organization | Project name | Miguel Caro’s involvement | Date granted | Amount |
| CSC | CPU time granted across all regular projects for 2023 | PI | 2023 (updated 06.04.2023) | 14M CPUh |
| CSC | CPU time granted across all regular projects for 2022 | PI | 2022 (whole year) | 15.5M CPUh |
| CSC | CPU time granted across all regular projects for 2021 | PI | 2021 (whole year) | 3.5M CPUh |
| CSC (Grand Challenge Project) | Machine learning force fields for modeling of noble metal catalyst nanoparticles (NOBLE) – link | PI | 07.01.2021 | 33M CPUh |
| CSC | ML-driven simulation of CO2 reduction catalysis | PI | 04.12.2020 | 0.5M CPUh |
| CSC | Next-generation interatomic potentials to simulate new cellulose-based materials (NEXTCELL) | PI | 26.11.2020 | 1M CPUh |
| CSC | Computational X-ray spectroscopy | PI | 16.11.2020 | 1M CPUh |
| CSC | Computational X-ray spectroscopy | PI | 19.10.2020 | 1M CPUh |
| CSC | ML-driven simulation of CO2 reduction catalysis | PI | 16.09.2020 | 3M CPUh |
| CSC | Next-generation interatomic potentials to simulate new cellulose-based materials (NEXTCELL) | PI | 28.08.2020 | 1M CPUh |
| CSC | Machine learning force field simulation of carbon nanotube growth (Mahti supercomputer pilot stage) | PI | 11.03.2020 | 5M+2M CPUh |
| CSC | Molecular modelling of the thermodynamic properties of concentrated electrolyte solutions and applications to sodium-ion batteries (as part of the HPC-Europa3 program) | Host (visitor Jiaxin Zhang) | 30.04.2019 | 100k CPUh |
| EPCC | Machine learning van der Waals interactions in phosphorus (as part of the HPC-Europa3 program) | Visitor (host Dr. Volker Deringer) | 30.04.2019 | 200k CPUh |
| CSC (Grand Challenge Project) | XPEC – link | PI | 17.04.2019 | 12.5M CPUh |
| CSC | Accurate computational electrochemistry from density functional theory and multiscale atomistic simulations | PI | 16.01.2019 | 2.5M CPUh |
| CSC | Machine learning models for the surface chemistry of tetrahedral amorphous carbon (as part of the HPC-Europa3 program) | Host (visitor Dr. Volker Deringer) | 14.12.2017 | 250k CPUh |
| CSC | Accurate computational electrochemistry from density functional theory and multiscale atomistic simulations | PI | 09.08.2017 | 2.5M CPUh |
| CSC | First-Principles Electrochemistry | CoI (PI Prof. Tomi Laurila) | 28.04.2016 | 1.45M CPUh |