Data-Driven Discovery of Robust Materials for Photocatalytic Energy Conversion

Towards an Ontology for Data-driven Discovery of New Materials

Materials scientists and nano-technologists are struggling with the challenge of managing the large volumes of multivariate, multidimensional and mixed-media data sets being generated from the experimental, characterisation, testing and post-processing steps associated with their search for new materials. In addition, they need to access large publicly available databases containing: crystallog...

Materials for Clean Energy Conversion

Data-Driven Distributionally Robust Control of Energy Storage Systems

Energy storage is an important resource that can balance fluctuations in energy generation from renewable energy sources, such as wind, to increase their penetration. Many existing storage control methods require perfect information about probability distribution of uncertainties. In practice, however, the distribution of renewable energy production is difficult to reliably estimate. To resolve...

Thermoelectric energy conversion using nanostructured materials

High performance thermoelectric materials in a wide range of temperatures are essential to broaden the application spectrum of thermoelectric devices. This paper presents experiments on the power and efficiency characteristics of lowand mid-temperature thermoelectric materials. We show that as long as an appreciable temperature difference can be created over a short thermoelectric leg, good pow...

PREFACE Theory of materials for solar energy conversion