FErroelectric NanoComposites for Enhanced Solar energy efficiency

Sustainable Electrodes for Advanced Flow Batteries

Interstitial Hydrides of High-Entropy Alloys

Molecular Manufacturing of Macroscopic Objects - fellowship Stoyan Smoukov

This interdisciplinary proposal proposes a molecular basis for Manufacturing for the Future,[a1] to grow many types of particles in a nature-inspired way. It offers scalability, near-full utilization of the material, and the ability to carry out transformations at near ambient conditions. Manufacturing in nature spans the scales from intricate ...

Sustainable Processing of Energy Materials from Waste

LNG Transport: Measuring And Minimising Methane Emissions

This is a first-of-a-kind project to measure total methane emissions from an LNG (liquefied natural gas) carrier ship. The research will help determine effective measurement methodologies for shipping methane emissions, and provide the first data point in understanding how much to ships contribute to natural gas supply chain emissions.

Bacterial Nanocellulose for Energy Applications

Our project aims to reuse the leftover of the fique natural fiber production (juice) from local producers in Antioquia, where close to 100 farmers of fique fibers sell this raw material at a price of $150 COP/kg for the production of sacks and cord. We will use the fique juice as a culture medium for the Komagataeibacter Medellinensis bacteria for the synthesis of bacterial nanocellulose, which will be further activated for energy storage applications, including lithium-ion batteries and supercapacitors. With this project, we will support local farmers, who will benefit from selling their agricultural waste to biomass companies, providing farmers a new source of income. The proposed collaboration involves Universidad Pontificia Bolivariana (UPB) and Queen Mary University of London (QMUL).

3D printed electrodes for energy conversion and storage technologies

Here I propose to use 3D printing to explore new electrode composites consisting of nanostructured graphene / transition metal electrocatalytic species for application in energy storage and conversion technologies. This research will lead to the development of a variety of electroactive composites, with different geometries and microstructures, and high electrocatalytic performance for batteries, fuel cells and water electrolyser systems. This research has the potential to truly transform the field of electrode design and expand the use of 3D printing techniques for the processing of new electrocatalytic architectures.

BP-ICAM fellowship

2-Dimensional Materials for Novel Battery Electrodes

There is an urgent need for the development and manufacture of advanced batteries for the electrification of vehicles in order to enable long, energy efficient trips on a single, fast charge with minimal loss of capacity and exceptionally high safety standards. Critical to achieving this aim is improving the capability of battery technology. By making new active materials for Li -ion and Na-ion batteries I aim to improve battery capacity, charge time and power.

The National Centre for Nuclear Robotics (NCNR)

Nuclear facilities require a wide variety of robotics capabilities, engendering a variety of extreme RAI challenges. NCNR brings together a diverse consortium of experts in robotics, AI, sensors, radiation and resilient embedded systems, to address these complex problems. In high gamma environments, human entries are not possible at all. In alpha-contaminated environments, air-fed suited human entries are possible, but engender significant secondary waste (contaminated suits), and reduced worker capability. We have a duty to eliminate the need for humans to enter such hazardous environments wherever technologically possible. Hence, nuclear robots will typically be remote from human controllers, creating significant opportunities for advanced telepresence. However, limited bandwidth and situational awareness demand increased intelligence and autonomous control capabilities on the robot, especially for performing complex manipulations. Shared control, where both human and AI collaboratively control the robot, will be critical because i) safety-critical environments demand a human in the loop, however ii) complex remote actions are too difficult for a human to perform reliably and efficiently.