LSMO News from Mediacom GPT-3 transforms chemical researchPublished:07.02.24 — Scientists at EPFL demonstrate how GPT-3 can transform chemical analysis, making it faster and more user-friendly.Three SB professors awarded SNSF Advanced GrantsPublished:30.08.23 — Professors Beat Fierz, Tobias J. Kippenberg, and Berend Smit at EPFL’s School of Basic Sciences have been awarded Advanced Grants from the Swiss National Science Foundation.New AI model transforms research on metal-organic frameworksPublished:14.03.23 — Researchers at EPFL and KAIST have developed a new AI model that significantly improves the understanding of metal-organic frameworks, promising materials for hydrogen storage and other applications.Using machine learning to forecast amine emissionsPublished:06.01.23 — Scientists at EPFL and Heriot-Watt University have developed a machine learning approach to accurately predict potentially harmful amine emissions from carbon-capturing plants.Machine learning predicts heat capacities of MOFsPublished:18.10.22 — Chemical engineers at EPFL have developed a machine-learning model that can accurately predict the heat capacity of the versatile metal-organic framework materials. The work shows that the overall energy costs of carbon-capture processes could be much lower than expected.All news
