Catalysis is a key technology, since it allows for increased levels of selectivity and efficacy of chemical transformations. While significant progress can be made by rational design or engineered step-by-step improvements, many pressing challenges in the field require the discovery of new and formerly unexpected results. Arguably, the question “How to discover?” is at the heart of the scientific process. In this talk, (smart)screening strategies for accelerated discovery and improved reproducibility will be presented, machine learning for chemistry will be discussed, together with new photocatalytic transformations. In addition, two other exciting areas will be addressed briefly: N-Heterocyclic Carbenes (NHCs) on surfaces and imidazolium-based lipid analogs for integrating into biological membranes.
嘉宾介绍
Frank Glorius
德意志科学院院士，欧洲人文和自然科学院院士Frank has received numerous awards, including OMCOS Award (2011), Leibniz Prize (2013), Mukaiyama Award (2017), ACS Cope Scholar Award (2018), Otto Roelen Medal (2020), and Otto Bayer Award (2022). He has also received ERC grants three times (2010, 2017, and 2023) and has been listed as a Highly Cited Researcher by Clarivate Analytics for ten consecutive years.
Over the past 20+ years of his academic and teaching career, Frank has trained 95 PhD students and 54 postdoctoral researchers, 44 of whom hold faculty positions at various research institutes and universities worldwide. This includes many top research institutions in China, such as SJTU, FDU, ZJU, NJU, USTC, WHU, SCU, NKU, SYSU, ShanghaiTech, CDU, SHU, ICCAS, SIOC, and SIAT.