{"id":"https://openalex.org/G6624255986","display_name":"Atomistic processes at material interfaces","description":"The interface is the boundary where two different materials meet. An important example of a material interface which is detrimental to a device's operation is the solid-electrolyte interphase, a layer that grows within the contact region between electrolyte and electrode in batteries, negatively affecting their reliability. Atomistic modeling, which offers a route to obtain a deep understanding of these processes, is rapidly evolving in the midst of a machine learning and artificial intelligence driven revolution. Yet, the ultimate test for any theory and simulation is experiment, and achieving experimental agreement and incorporating experimental data into these atomistic simulations is the next frontier in atomistic modeling. The ATMIN consortium in cooperation with top international collaborators will strive to bridge the gap between reality and simulation for the characterization of material interfaces at the nanoscale.","funder_award_id":"364778","funder":{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","doi":"10.13039/501100002341"},"funded_outputs":["https://openalex.org/W7213887119"],"funded_outputs_count":1,"parent_awards":[],"sub_awards":[],"sub_awards_count":0,"amount":490040.0,"currency":"EUR","amount_usd":509102.56,"amount_usd_basis":"daily_rate","recipients":[],"recipient_countries":[],"recipient_regions":[],"research_scope":{"is_research":true,"basis":"funder_default","tier":1},"funding_type":"grant","funder_scheme":"High-performance computing 2024","start_date":"2025-01-01","end_date":"2027-12-31","start_year":2025,"end_year":2027,"landing_page_url":"https://research.fi/en/results/funding/82159","doi":null,"provenance":"researchfi","lead_investigator":{"given_name":" ","family_name":" ","orcid":null,"role_start":null,"affiliation":{"name":null,"country":"Finland","ids":null}},"co_lead_investigator":null,"investigators":null,"works_api_url":"https://api.openalex.org/works?filter=awards.id:G6624255986","primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.917,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.917,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"institution_awarded":[],"updated_date":"2026-10-16T03:01:01.000Z","created_date":"2026-07-13T04:53:04.000Z"}