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Materials for converting solar energy into chemical fuels requires balancing the many physical and chemical steps involved (light absorption, catalysis, product separation, diffusion of reactants and products) along multiple length scales (from single atoms to m2). This balance requires rational design of solar fuels materials to maximize the energy conversion efficiency. Here, we will discuss the use of large-scale simulations and experimental data to develop machine learning-based approaches to the characterization and design of materials for solar fuels applications.
The DART Monthly Webinar Series provides an opportunity for project faculty and students to share short presentations about their work followed by open discussion and questions. Webinar topics will rotate between project management items like reporting and overviews of DART as a project, as well as specific research topics, important research results, and more.
All webinars will be recorded and made available after presentation. Please check https://dartproject.org/webinars/ for recordings.
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