Transformative innovations in the science and technology of personalized medicine, energy storage, and clean growth start from achieving atomic and molecular understanding, and then control, of the fundamental (bio)-chemical interactions…
The Faraday Institution has funded a research consortium on ‘Next generation lithium-ion cathode materials (CATMAT)’ to explore and develop new materials for batteries that can be used for electric vehicles.…
Johnson Matthey, a FTSE 100 company, is a global leader in sustainable technologies specialising in catalysis, precious metal products, chemicals and process technology. With operations in over 30 countries, we…
The development of operando spectroscopic methods and controlled catalyst preparation are both essential tools in understanding the complex properties of catalysts. Heterogeneous catalysts, for example supported metal nanoparticles, are exceedingly dynamic and…
In this work, methanol-to-hydrocarbons, biomass-upgrading reactions and plastic conversion are studied over zeolite catalysts, using vibrational spectroscopy to give mechanistic insight. Raman Spectroscopy can identify carbonaceous surface species during catalysis,…
All cells use sugar, but a consequence of unbalanced sugar usage is disease through hexosamine sugar biosynthetic pathways. To precisely define the roles of hexosamine sugar-driven effects, we designed chemical…
Transition metal atoms isolated in the surface of nitrogen-doped carbon have demonstrated excellent thermocatalytic and electrocatalytic performance, most notably in reactions involving oxygen. In the current work, the low temperature…
I will present selected examples of our efforts in the use of NMR for the analysis of the kinetics and mechanism of processes catalysed by Lewis / Bronsted acids and…
NMR is a highly informative analytical technique, which can provide detailed structural information as well as quantitative information on mixtures in a non-invasive way. Its use in reaction monitoring often…
We present our next generation machine learning system, IMPRESSION-G2, capable of predicting NMR parameters including chemical shifts and scalar coupling constants for a range of common non-metallic NMR active nuclei.…
