We have been awarded Academy of Finland funding within the framework of the EuroHPC research program, which aims to support the transition to (pre-)exascale high-performance computing (HPC) platforms and quantum computing, among others. Miguel Caro will lead the ExaFF (“Exascale-ready machine learning force fields“) consortium as Principal Investigator and Consortium Coordinator. This project is a …
I have been awarded the Academy of Finland Research Fellow position (see official decision). This is a fully-funded 5-year personal fellowship that also includes funds for start building (in our case consolidate) a research group, enough to cover one researcher at the postdoctoral level. The project will focus on the development of flexible machine-learning-based reactive …
Our team has secured over 560k EUR of funding to carry out research on electrochemical transformation of CO2 into more valuable C1 compounds, that is, compounds like methane (CH4) and methanol (CH3OH) that can be used as fuels. Miguel Caro is Principal Investigator of the project, which will be a collaboration with coPI Prof. Hannes …
The Academy of Finland funded COMPEX project (Towards accurate computational experimentation: machine-learning-driven simulation of nanocarbon synthesis) started on September 1st, 2019. This project will focus on developing atomistic simulation tools based on machine learning interatomic potentials to carry out large scale molecular dynamics and long-time-scale dynamics simulations to elucidate the growth mechanisms in carbon nanomaterials …