21-30 September 2021
Online Conference
Europe/Berlin timezone

Scientific Programme

The scientific programme of CYSS aims to cover all aspects of artificial photosynthesis and solar fuel production, with special focus on the interface to related fields of work. Therefore, we seek contributions from the fields of catalyst and photosensitizer development and want to invite scientists with a focus on potential supporting structures, functional materials, or analytic methods to submit their contributions. This includes researchers from material science (polymers, nanostructures etc.), spectroscopy and theoretical chemistry as well as reactor design. This interdisciplinary approach aims to offer opportunities for all involved researchers to find new methods or target systems, thereby facilitating free knowledge exchange within the community. Established researchers from all fields will be invited to provide insights into their respective work and serve as an introduction to the specific fields.

  • Molecules & Materials

    MM

    Design, synthesis and functionalization of (photo)catalytic systems, photosensitizers, and other chemical systems involved in solar fuel production. This encompasses homo- as well as heterogenous systems, and we encourage contributions that deal with designing functional materials (e.g. polymers, metal organic frameworks, nanoparticles).

  • Spectroscopy

    Sp

    Contributions regarding techniques to characterize (photo)catalytic systems, photosensitizers, and other chemical systems involved in solar fuel production, especially concerning in situ characterization. Novel approaches to characterization or analysis of spectroscopic data sets that may offer potential advantages in the field of artificial photosynthesis are very welcome, even if they have not been applied to a photocatalytic system yet.

  • Theory

    Th

    Contributions that offer insight into (photo)chemical processes in the context of artificial photosynthesis by employing methods of theoretical chemistry or physics. This includes approaches based on quantum chemistry, molecular dynamics, machine learning, reactor modelling and related fields.