Browsing School of Engineering and Materials Science by Title
Now showing items 576-595 of 3214
-
Data (SAXS and mechanical data) for W. Badar et al "Nonlinear Stress-induced Transformations in Collagen Fibrillar Organisation, Disorder and Strain Mechanisms In The Bone-Cartilage Unit""
(Queen Mary University of London, 2024-07-04) -
Data used in the paper "Nonlinear Stress-induced Transformations in Collagen Fibrillar Organisation, Disorder and Strain Mechanisms In The Bone-Cartilage Unit" by W. Badar et al
(Queen Mary University of London, 2024-07-02)Data for the manuscript "Nonlinear Stress-induced Transformations in Collagen Fibrillar Organisation, Disorder and Strain Mechanisms In The Bone-Cartilage Unit" by W. Badar, S. R. Inamdar, P. Fratzl, T. Snow, N. J. Terrill, ... -
Data-driven based eco-driving control for plug-in hybrid electric vehicles
(2021-06-30)With the development of connected and automated vehicles, eco-driving control is reckoned to generate unprecedented potential on energy-saving in electrified powertrain. In this paper, a data-driven based eco-driving control ... -
A Data-Driven Method for Evaluating the Efficiency of Air Traffic Control about Arrival Operations
(American Society of Civil Engineers, 2019-07-02)The air traffic increase appeals to the improvement of flight operational efficiency. However, there are few studies, from the quantitative perspective, on efficiency evaluation of air traffic control (ATC). The main purpose ... -
Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations
(2024-04-12)Maximising the power production of large wind farms is key to the transition towards net zero. The overarching goal of this paper is to propose a computational method to maximise the power production of wind farms with two ... -
Data-driven prediction of laminar burning velocity for ternary ammonia/hydrogen/methane/air premixed flames
(Elsevier, 2024-07)Zero-carbon fuels such as hydrogen and ammonia play a pivotal role in the energy transition by offering cleaner alternatives to natural gas (methane), especially in industrial combustion systems. Binary and ternary blends ... -
Datasets for high hydrogen content syngas fuel variability effect on combustion physicochemical properties.
(2020-04)The dataset presented in this article is related to the uncertainty quantification of fuel variability effect on high hydrogen content syngas combustion physicochemical properties. The 1D flame data included in this dataset ... -
Deciphering the Role of Hole Transport Layer HOMO Level on the Open Circuit Voltage of Perovskite Solar Cells
(2023-07-06)With the rapid development of perovskite solar cells, reducing losses in open-circuit voltage (Voc) is a key issue in efforts to further improve device performance. Here it is focused on investigating the correlation between ... -
Deep learning aided topology optimization of phononic crystals
(Elsevier, 2023)In this work, a novel approach for the topology optimization of phononic crystals based on the replacement of the computationally demanding traditional solvers for the calculation of dispersion diagrams with a surrogate ... -
Deep learning in physical layer communications
(2019-04-01)© 2002-2012 IEEE. DL has shown great potential to revolutionize communication systems. This article provides an overview of the recent advancements in DL-based physical layer communications. DL can improve the performance ...