Zeolites are essential catalysts in a range of important current processes, including petrochemical refining, automobile emissions reduction and fine chemicals synthesis, and much pioneering research was performed by JMT in understanding them. Their performance relates closely to their structure in a unique way, because active sites distributed throughout the catalyst…
When: 29 & 30 November 2022Where: Rutherford Appleton Laboratory, Harwell Campus, Fermi Avenue, Didcot, Oxfordshire, OX11 0QX On the 29th & 30th of November 2022 the UK Catalysis Hub held its annual winter conference and networking meeting. The Conference took place at the Rutherford Appleton Laboratory, Harwell Campus, Oxfordshire. The conference began at…
The talk will present the development and impact of a range of capabilities including microscale and nano scale HTE, and high-throughput electrochemistry. Innovations in synthetic chemistry across modalities (small molecules to macrocyclic peptides) with a lens toward medicinal chemistry applications will be described. In addition, the development of chemistry reaction…
In this Webinar I will discuss the complexity associated with some Pd-catalyzed cross-coupling reactions (e.g. in terms of Pd catalyst speciation and reaction outcomes). I will then describe how we have used the Chemspeed ISYNTH platform, in tandem with other techniques and methods, to examine a complicated Pd-catalyzed cross-coupling involving the reaction…
This presentation will look at some of the challenges and progress made in automating Chemical HTE and associated flow of data between systems. Biography Simon gained his MChem in Chemistry from the University of York in 2002 and has spent the majority of his career in AstraZeneca’s Chemical Development department.…
Automated executions of chemical synthesis and discovery has risen as a critical enabling technology. New tools combining advanced robotics with experiment planning by machine learning, known as self-driving labs, are now attainable. However, the optimal deployment of these technologies remains under development, requiring a recursive design-make-build cycle dedicated to tuning…
Numerous disciplines, such as image recognition and machine translation, have been revolutionized by using machine learning (ML) to leverage big data. In organic synthesis, providing accurate chemical reactivity prediction with ML models could assist chemists with reaction prediction, optimization, and mechanistic interrogation. This talk will cover the Doyle group’s efforts…
Chromatographic Data are the main source of information for any work involving the synthesis or analysis of small molecules – We have developed a software package for the analysis of chromatographic data termed MOCCA. It allows the export of data from the acquisition instruments to a vendor-independent and non-proprietary data…
The synthesis of molecular materials and supramolecular systems is challenging – in part because their formation and self-assembly is strongly influenced by reaction environment. We use three approaches to control supramolecular synthesis and/or self-assembly: 1) tuning the building blocks;1 2) varying the interaction strength between building blocks,2and 3) controlling the reaction…
The vast space of all theoretical open shell transition metal catalysts challenges conventional experimentation or computation (i.e., with density functional theory, DFT). I will describe how we have built tailored representations for accelerating the prediction of open shell transition metal complex properties and subsequently extended this effort to prediction of…
