About the ETSF
The European Theoretical Spectroscopy Facility (ETSF) is a research network and e-infrastructure comprised of 68 research teams across Europe and the United States. It carries out state-of-the-art research on theoretical and computational methods for studying electronic and optical properties of materials. All fields in need of knowledge about electronic excitations, transport and spectroscopy may benefit from the ETSF, such as condensed matter physics and chemistry, biology, materials and nano science. The ETSF gathers the experience and know-how of more than 200 researchers in Europe and the United States, facilitating innovation and rapid knowledge transfer.
Our mission statement:
Serve as a global leader in the field of theoretical spectroscopy.
The research network focuses on ETSF scientists' collaborative research, including the development of new theory and algorithms for describing spectroscopic processes. The ETSF regularly organizes training events targeted at young researchers wishing to pursue a career in the area of theoretical spectroscopy.
Assist external users in areas such as materials science, energy, biology, and nanoelectronics to enable revolutionary technologies of the future.
The main objective of the ETSF User Infrastructure is to broaden access, across the public and private sectors, to the knowledge and the expertise we have built up in the field of theoretical spectroscopy. The ETSF facilitates its codes' availability through standardization of codes' files, libraries and tools. Its users, e.g. experimentalists, scientists working in industry, or researchers working in a similar field, are invited to participate to training events or apply for specifically targeted training for small groups or for a single person. The ETSF also fosters collaboration between theorists from the ETSF and researchers from other communities, experimentalists as well as theoreticians, thanks to an open call for proposals. The Materials Evolution initiative proposes a service of high-throughput computational materials design for a fast transfer of knowledge to industry and in fine to any innovator.