Reference number : 172-2024-2025-Q2-1017488, amendment number : , agreement type : G, recipient legal name : Concordia University, recipient country : CA, recipient province : QC, recipient city : Montreal|Montréal, recipient postal code : H3G 1M8, program name english : Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives, program name french : Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D, program purpose english : Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas., program purpose french : Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires., agreement title english : Accelerated Discovery of Metal-Organic Frameworks for Carbon Capture and Utilization Applications, agreement title french : Découverte accélérée de structures métallo-organiques pour des applications de captage et d’utilisation du carbone, agreement number : 1017488, agreement value : 154000.0, agreement start date : 2024-05-01, agreement end date : 2026-03-31, description english : The Project aims at the discovery and optimization of Metal-Organic Frameworks (MOFs) for carbon capture, utilization, and storage (CCUS) applications, particularly focusing on ocean carbon capture and electrochemical CO2 conversion. Leveraging the advanced capabilities of Large Language Models (LLMs) and AI-driven laboratory automation, the Project aims to rapidly identify and synthesize promising MOF candidates, a task traditionally hindered by the vast chemical diversity and slow experimental processes. The Project objective is to develop an LLM/AI driven framework towards MOF discovery, and then apply this framework towards applications in bicarbonate (ocean capture) and electrochemical CO2 reduction. Alongside these performance metrics, the Project will prioritize properties desirable for CCUS applications, such as moisture stability, synthesizability, low-toxicity, and alignment with industry standards. A significant outcome will be establishing a pioneering ML-guided framework for material discovery, contributing a novel dataset to the scientific community, thereby enhancing research and development in CCUS technologies., description french : Découverte accélérée de structures métallo-organiques pour des applications de captage et d’utilisation du carbone, expected results english : In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems., expected results french : À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides., additional information english : nan, additional information french : nan, owner organization : nrc-cnrc, owner organization title : National Research Council Canada | Conseil national de recherches Canada