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John Jeyes Award goes to the Sustainable Methanol Team

The Sustainable Methanol team is the winner of the Royal Society of Chemistry’s Environment, Sustainability and Energy Division Horizon Prize, the John Jeyes Award 2022. The team is based at ETH Zürich, TotalEnergies, Institute of Chemical Research of Catalonia and Paul Scherrer Institute. They won the prize for the discovery, understanding, and technical development of a novel catalytic technology for the recycling of carbon dioxide to produce sustainable methanol.
A Chemist’s Toolkit for Biology

Sometimes we must create something artificial to understand nature. Kathrin Lang, new professor of Chemical Biology at the LOC, develops special tools to do so, opening molecular doors that not only allow insights into existing complex biological systems, but also show what is possible beyond them.
11 PhDs at D-CHAB receive the Chemistry Travel Award

The Chemistry Travel Award of SCNAT Chemistry and Swiss Chemical Society honors excellent doctoral students and supports their participation in an international conference. This year, 11 talented PhDs from D-CHAB are among the winners.
Appointments and Farewells at D-CHAB

The ETH Board appointed 13 professors. Kjell Jorner, currently Postdoctoral Researcher at the University of Toronto and at Chalmers University of Technology in Gothenburg, appointed as Assistant Professor of Digital Chemistry (ICB). Yohei Yamauchi, currently Associate Professor at the University of Bristol, United Kingdom, is appointed as Full Professor of Molecular Medicine (IPW). Beat H. Meier, currently Full Professor of Physical Chemistry, will retire at the end of January 2023.
Component for brain-inspired computing

ETH postdoc Rohit John (Kovalenko Group) and researchers from the University of Zurich and Empa have developed a new material for an electronic component that can be used in a wider range of applications than its predecessors. Such components will help create electronic circuits that emulate the human brain and that are more efficient at performing machine-learning tasks.