US Department of Energy, US: Data science to advance chemical and materials sciences

25/03/2021

14/04/2021

The US Department of Energy, under the Office of Science, invites applications for its data science to advance chemical and materials sciences funding opportunity. This supports projects focusing on integrating novel data science, uncertainty quantification, and other artificial intelligence and machine learning approaches with domain sciences to advance the understanding of fundamental properties and processes relevant to chemical and materials systems. The total budget is USD 21 million, to cover grants worth between USD 400,000 and USD 1.2 million each over three years.

Materials Sciences; Machine Learning; Artificial Intelligence; Computer Science & Informatics. Projects must address at least one of the following topics: •heterogeneous and multiscale phenomena; •collective phenomena; •reactive and far from equilibrium pathways; •rare spatio-temporal phenomena; •multimodal or multi-messenger approaches. The focus of the proposed research must be on science-based, data-driven approaches enabling solutions for fundamental basic energy sciences challenges not possible otherwise.

All types of US and foreign organisations are eligible to apply, except federally-funded research and development centre contractors and certain non-profit organisations.