Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; University of Nottingham
- ; University of Surrey
- ; The University of Manchester
- Cranfield University
- ; University of Birmingham
- ; University of Warwick
- AALTO UNIVERSITY
- University of Sheffield
- ; Cranfield University
- ; Loughborough University
- ; Newcastle University
- ; Swansea University
- ; University of Southampton
- ; Aston University
- ; Brunel University London
- ; Coventry University Group
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of East Anglia
- ; University of Hertfordshire
- ; University of Portsmouth
- University of Cambridge
- 13 more »
- « less
-
Field
-
government’s Advanced Modular Reactor (AMR) programme has recently identified HTGRs as the preferred design for future advanced nuclear deployment in the UK, with an aim to deliver a demonstration reactor by the
-
to study corrosion, cracking and mechanical degradation, develop advanced computational models using modern C++ and high-performance computing to simulate material behaviour over a 100+ year timespan. This
-
learning models of quantum chemistry can achieve fast and accurate predictions, but comprehensive data sets for reaction barriers of large molecules simply do not exist. Several recent works have attempted
-
) Physics, Chemistry, or Applied Mathematics Why This Matters The world is moving rapidly toward renewable energy. Hydrogen is at the forefront as a clean fuel, but its safe storage and use at high pressures
-
varying coolant chemistries, the study aims to understand the effects of deposited CRUD on surface morphology and thermal performance. The project employs a comprehensive approach integrating experimental
-
. This project will develop and apply new computational/analytical tools to guide XFEL experiments for specifically tracking lattice fluctuations and ion dynamics in energy materials (batteries). The project will
-
Supervisors: Prof. Reinhard Maurer (Chemistry), Prof. Richard Beanland (Physics) Understanding how local atomic structure and long-range emergent magnetic and electronic properties in defective 2D
-
environmentally sustainable approach, which offers a targeted and natural solution, aligning with the principles of green chemistry. In this project, you will investigate the key microorganisms enabling
-
Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof