23 Works

Pretrained Neural Network Models for Dunnings 2018 study - TensorFlow format

Andy Dunnings

Supporting data for: Optimal design of a toroidal field magnet system and cost of electricity implications for a tokamak using high temperature superconductors

T. S. Lee, I. Jenkins, Elizabeth Surrey & Damian Hampshire
The potential for reducing the Cost of Electricity (CoE) by using High Temperature Superconductors (HTS) in the Toroidal Field (TF) coils of a fusion tokamak power plant has been investigated using a new HTS module in the PROCESS systems code. We report the CoE and the design of HTS tokamaks that have been optimized by minimising the major radius of the plasma. Potential future improvements in both the superconducting properties and the structural materials for...

Computer-aided patterning design for self-assembled microsphere lithography

Rhiannon Lees
In this paper, we use a finite difference time domain solver to simulate the near field optical properties of self-assembled microsphere arrays when exposed to an incoherent light source. Such arrays are typically used for microsphere lithography where each sphere acts as a ball lens, focusing ultraviolet light into an underlying photoresist layer. It is well known that arrays of circular features can be patterned using this technique. However, here, our simulations show that additional...

Pretrained Neural Network Models for Samarth 2019 study - TensorFlow format

Ganesh Samarth
In this work we explore different Convolutional Neural Network (CNN) architectures and their variants for non-temporal binary fire detection and localization in video or still imagery. We consider the performance of experimentally defined, reduced complexity deep CNN architectures for this task and evaluate the effects of different optimization and normalization techniques applied to different CNN architectures (spanning the Inception, ResNet and EfficientNet architectural concepts). Contrary to contemporary trends in the field, our work illustrates a...

Data management plans (DMPs and maDMPs) [other]

Nicholas Syrotiuk
Slides available on Prezi.com until we pay to download them in a proprietary file format: https://prezi.com/p/udmgch_km-mb

Joshua P Rogers PhD Thesis - Photoelectron spectroscopy of (C6F6)n- and (C6F6)I- clusters in a novel instrument

Joshua P. Rogers
The digital appendix for this thesis can be found at http://etheses.dur.ac.uk/12364

Writing a good Data Management Plan : a workshop for research-active staff & PGRs​

Nicholas Syrotiuk
Workshop structure: (1) What is data management planning? (2) Try writing a DMP (3) Feedback (4) Summary

Data from "Simulating spin dynamics in organic solids under heteronuclear decoupling"

Ilya Frantsuzov, Matthias Ernst, Steven P. Brown & Paul Hodgkinson
Abstract from article: Although considerable progress has been made in simulating the dynamics of multiple coupled nuclear spins, predicting the evolution of nuclear magnetisation in the presence of radio-frequency decoupling remains challenging. We use exact numerical simulations of the spin dynamics under simultaneous magic-angle spinning and RF decoupling to determine the extent to which numerical simulations can be used to predict the experimental performance of heteronuclear decoupling for the CW, TPPM and XiX sequences, using...

Supporting data for: Soldered joints—an essential component of demountable high temperature superconducting fusion magnets

Yeekin Tsui, Elizabeth Surrey & Damian Hampshire

Managing and sharing research data​ : an RDM training course [other]

Nicholas Syrotiuk
Part of a Northern Ireland and North East Doctoral Training Partnership (NINE DTP) workshop called "Making the most of your data," held at Durham on 09 July 2019.​

Managing and sharing research data, a training course : 13 March 2019 [other]

Nicholas Syrotiuk & James Bisset
Slides available on Prezi.com until we pay to download them in a proprietary file format: https://prezi.com/p/x5sovu3qh1ud/

Supporting Information for Zeeman-tunable Modulation Transfer Spectroscopy [design file]

Chloe So
Active frequency stabilization of a laser to an atomic or molecular resonance underpins many modern-day AMO physics experiments. With a flat background and high signal-to-noise ratio, modulation transfer spectroscopy (MTS) offers an accurate and stable method for laser locking. Despite its benefits, however, the four-wave mixing process that is inherent to the MTS technique entails that the strongest modulation transfer signals are only observed for closed transitions, excluding MTS from numerous applications. Here, we report...

Brownfield land dataset

Clare Bambra, Steve Robertson, Adetayo Kasim, Joe Smith, Jo Cairns, Alison Copeland, Nina Finlay & Karen Johnson
This dataset contains the relative proportion of brownfield land (or previously developed land) at Census Statistical Ward Level in England taken from 2009 National Land Use Database, age and sex standardised morbidity (from 2001 UK Census) and age and sex standardised all-cause premature mortality (below 75 years) from the Office for National Statistics (1998-2003)

Transverse field muon-spin rotation signature of the skyrmion-lattice phase in Cu2OSeO3

Tom Lancaster
We present the results of transverse field (TF) muon-spin rotation measurements on Cu2OSeO3, which has a skyrmion lattice (SL) phase.

Data from "Cooperative ordering in lattices of interacting two-level dipoles"

Robert J. Bettles, Simon A. Gardiner & Charles S. Adams
Submission to academic journal for publication. PACS numbers: 32.70.Jz, 42.50.Gy, 03.75.Lm.

Supporting data for: Superconducting and mechanical properties of low-temperature solders for joints

Yeekin Tsui, Ra'ad Mahmoud, Elizabeth Surrey & Damian Hampshire
All large superconducting applications require electrical connections between superconductors or between superconductors and other metallic parts of the systems. Such connections are essential components for these applications and are usually made by melting the solder (or soft soldering). In general, the melting point, electrical resistivity, mechanical and wetting properties and toxicity are all important criteria when choosing the best solder for a specific application. If the solder itself is superconducting under the operating conditions of...

Examining charge transport networks in organic bulk heterojunction photovoltaic diodes using 1/f noise spectroscopy (data files)

K. Kaku, A.T. Williams, B. Mendis & C. Groves
This study investigates the application of 1/f noise spectroscopy to determine the morphology of organic photovoltaic diodes. Our experiments indicate that 1/f noise spectroscopy can provide detailed information about charge transport networks in such complex, bulk heterojunction devices, even when bipolar charge transport is present. This indicates that 1/f noise spectroscopy could be used to investigate morphology in a wide range blended organic electronic devices. Methodologies and descriptions of the data are described in full...

Directory of UK Based Test and Demonstration Facilities for Wind Technologies [database]

Donatella Zappalá
This report gives an insight into the UK testing and demonstration facilities landscape for the wind energy sector used by the scientific and industrial communities. It provides an exten sive directory of the facilities of use to the UK and European wind research and development community, ident ifying where cutting-edge facilities exist within the UK for validation testing of new developments across th e full range of Technology Readiness Levels. By providing a comprehensive understanding...

Managing and sharing research data:​ an RDM training course [other]

Nicholas Syrotiuk
Course structure: (1) What is research data? (2) What is responsible research data management (RDM)? (3) What is data management planning? (4) Ten rules for writing a good data management plan (5) Managing active research data (6) Sharing and preserving research data (7) Re-using research data

Neural network checkpoints

Amir Atapour-Abarghouei & Toby P. Breckon
Neural network checkpoints associated with the work entitled: Real-time monocular depth estimation using synthetic data with domain adaptation via image style transfer / written by A. Atapour-Abarghouei and T.P. Breckon. -- In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2018 : Salt Lake City, Utah).

Data from "Fluorescent Carbon Dot – Molecular Salt Hydrogels"

Angelina Cayuela, Stuart R. Kennedy, M. Laura Soriano, Christopher D. Jones, M. Laura Soriano, Miguel Valcárcel & Jonathan W. Steed
The incorporation of functionalised carbon nanodots within a novel low molecular weight salt hydrogel derived from 5-aminosalycilic acid is reported. The carbon dots result in markedly enhanced gelation properties, while inclusion within the hydrophobic gel results in a dramatic fluorescence enhancement for the carbon nanomaterials. The resulting hybrid CD Gels exhibit a useful sensor response for heavy metal ions, particularly Pb2+.

Progress towards quantum-enhanced interferometry with harmonically trapped quantum matter-wave bright solitons: Supporting data

Bettina Gertjerenken, Timothy P. Wiles & Christoph Weiss
Supporting data for the publication "Progress towards quantum-enhanced interferometry with harmonically trapped quantum matter-wave bright solitons"

Data from: "Canonical finite temperature data for an attractive Bose gas in one dimension"

Christoph Weiss
The data was obtained by using an exact recurrence relation.

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