Professor David Scanlon FRSC
Winner: 2021 Materials 91AV Division Early Career Award
University College London
For contributions to materials modelling of conducting oxides.
Celebrate Professor David Scanlon
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This prize showcases the importance of predictive modelling of solid state materials and I am excited to see the future developments of this emerging field.
Professor Scanlon's materials theory group (SMTG) uses computational models to understand what happens on the atomistic scale in materials that are of interest for many applications in renewable energy.
Often, experiments can only give you a certain amount of information, and calculations can tell you what is actually occurring at the very local level, like when you replace one atom with another. The group also uses these models, which are based on computational chemistry, to predict new materials, or to predict the property of materials. These insights will allow for the design of better materials that we use in our everyday life: for example, the materials that are used in the screens of smart phones, tablets, laptops and flat screen TVs.
The SMTG's knowledge of how these materials work on the atomic scale can be used to tweak the properties of materials, and to inform experimentalists so that better materials can be developed, improving the quality of our devices' performance.
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