Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
Machine learning techniques enhance the efficiency of energy harvesters by implementing reversible energy-conserving operations.
Modern portfolio theory inspires a strategy for allocating renewable energy sources which minimises the impact of production fluctuations.