Sort by
Refine Your Search
-
Category
-
Employer
- ;
- Cranfield University
- ; Swansea University
- ; City St George’s, University of London
- ; Cranfield University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; The University of Manchester
- ; University of Birmingham
- ; University of Warwick
- Abertay University
- University of Newcastle
- University of Nottingham
- ; Brunel University London
- ; London South Bank University
- ; University of Bristol
- ; University of Leeds
- ; University of Sheffield
- Harper Adams University
- University of Cambridge
- University of Sheffield
- 10 more »
- « less
-
Field
-
model of reaction barriers. This will enable the development of more accurate and advanced high-throughput reaction network discovery and by-product prediction. Background Typical drug molecules can
-
net zero goals and the future of our planet. During their lifetime, those energy storage systems can experience complex electrochemical-thermomechanical phenomena that can result in their volumetric
-
objective of this research project is to unravel the complex dynamics of iron-dominated, nickel-dominated, and mixed Fe-Ni corrosion products on zircaloy surfaces. By exploring boiling, flow conditions, and
-
of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing
-
, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where