NMR management
NOMAD (NMR Online Management and Datastore) Dr Tomas Lebl & Shyam Reyal School of Chemistry & School of Computer Science NMR (nuclear magnetic resonance) spectroscopy is most frequently used by chemists and biochemists…
Search by author: Laura Bates
Porous materials for medical applications
Development of prototype MOF/polymer coatings for medical applications Dr Stewart Warrender School of Chemistry On any given day, approximately one in 25 US patients has at least one infection contracted during the…
Novel drug tools for neglected diseases
Novel drug tools for neglected diseases: Development of tools for target identification of nitrofuran-carboxyamides with potent trypanocidal activity Prof. Terry Smith and Dr Gordon Florence School of Biology Parasitic…
Robot behaviour
How can robot behaviour be safely unscripted? Dr Michael K. Weir School of Computer Science As robots move into more uncontrolled environments, safe motion requires flexibility to deal with the unexpected.
Single pixel imaging
Dr Michael Mazilu School of Physics & Astronomy An image is worth a thousand words. This statement holds not only true in every day life but even more so in science.
Synthesis of ultra-fine chemicals
Dr José A. Fuentes and Dr Matt L. Clarke School of Chemistry Catalysts are widely used to speed up chemical reactions without actually getting used up in the process. They are one of the core aspects of making greener…
TADF emitters for electroluminescent devices
Dr Eli Zysman-Colman School of Chemistry Compounds emitting from a thermally activated delayed fluorescence (TADF) mechanism can harvest both singlet and triplet excitons, which traditional fluorescent emitters are…
Virtual Museums
Dr Alan Miller, Dr Karen Brown & Catherine Cassidy | School of Computer Science, School of Art History & Open Virtual Worlds Recent advances in the computational power and graphic capabilities of mobile phones and…
Water pollutant detection
Dr David Harris-Birtill and Mr David Morrison School of Computer Science The AquaCat project makes use of low-cost miniaturized radar technology and machine learning in order to reliably detect water pollutants.