61 Works

Influence of soil grading on the hygro-mechanical properties of hyper-compacted earth for masonry construction [dataset]

Alessia Cuccurullo
This paper presents a study, at material scale, of the dependency between particle size distribution and the mechanical, hygroscopic and durability properties of compacted raw (unfired) earth for manufacturing bricks. Stiffness and strength are measured by unconfined compression tests while vapour adsorption/desorption is investigated by moisture buffering tests. In addition, the durability to water erosion is evaluated by immersion tests. All experiments were performed on cylindrical earth samples compacted at a very high pressure (100...

Late Prehistoric Stelae, Persistent Places and Connected Worlds: A Multi-Disciplinary Review of the Evidence at Almargen (Lands of Antequera, Spain) [dataset]

Marta Diaz-Guardamino
This paper examines how monuments with ‘local’ idiosyncrasies are key in processes of place-making and how, through persistence, such places can engage in supra-local and even ‘global’ dynamics. Departing from a detailed revision of its context, materiality, and iconography, we show how a remarkable Iberian ‘warrior stela’ brings together the geo-strategic potential of a unique site, located literally between the Mediterranean and the Atlantic worlds, the century-long dialogue between shared and local identities and the...

Advances in the use of biological stabilisers and hyper-compaction for sustainable earthen construction materials [dataset]

Alessia Cuccurullo
In the majority of cases, earthen construction materials for real buildings require amendment to deliver suitable material properties, which could be some additional strength or resilience to erosion. In modern earthen construction, in India, Australia and other parts of the world, cement and lime have been successfully used as stabilisers, providing both strength and durability benefits. However, the use of cement is detrimental to the green credentials of earthen construction materials, due to the large...

Quantitative optical spectroscopy of 87Rb vapour in the Voigt geometry in DC magnetic fields up to 0.4T [dataset]

Francisco S Ponciano-Ojeda, James Keaveney, Stefan M Rieche, Mark J Raine, Damian P Hampshire & Ifan G Hughes
We present a detailed spectroscopic investigation of a thermal 87Rb atomic vapour in magnetic fields up to 0.4T in the Voigt geometry. We fit experimental spectra with our theoretical model ElecSus and find excellent quantitative agreement, with RMS errors of ~0.3%. We extract the magnetic field strength and the angle between the polarisation of the light and the magnetic field from the atomic signal and find excellent agreement to within ~1% with a commercial Hall...

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/

Magnetic order and enhanced exchange in the quasi-one-dimensional molecule-based antiferromagnet Cu(NO3)2(pyz)3 [dataset]

Tom Lancaster, Benjamin M Huddart, Jamie Brambleby, Paul A Goddard, Fan Xiao, Stephen J Blundell, Francis L Pratt, John Singleton, Piero Macchi, Rebecca Scatena, Alyssa M Barton & Jamie L Manson
The quasi-one-dimensional molecule-based Heisenberg antiferromagnet Cu(NO3)2(pyz)3 has an intrachain coupling J = 13.7(1) K and exhibits a state of long-range magnetic order below TN = 0.105(1) K. The ratio of interchain to intrachain coupling is estimated to be |J′/J| = 3.3 × 10−3, demonstrating a high degree of isolation for the Cu chains.

Kondo screening in a charge-insulating spinon metal [dataset]

Matjaž Gomilšek, Rok Žitko, Martin Klanjšek, Martin Pregelj, Christopher Baines, Yuesheng Li, Qingming Zhang & Andrej Zorko
The Kondo effect, an eminent manifestation of many-body physics in condensed matter, is traditionally explained as exchange scattering of conduction electrons on a spinful impurity in a metal. The resulting screening of the impurity's local moment by the electron Fermi sea is characterized by a Kondo temperature TK, below which the system enters a strongly-coupled regime. In recent years, this effect has found its realizations beyond the bulk-metal paradigm in many other conduction-electron systems, such...

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

Generalised classification of fluvial scenes with deep learning methods [dataset]

Patrice Carbonneau
This data is linked to code in the following GitHub repository: https://github.com/geojames/Self-Supervised-Classification

Threshold interface magnetization required to induce magnetic proximity effect [dataset]

Aidan Hindmarch
Proximity-induced magnetization (PIM) has broad implications across interface-driven spintronics applications employing spin currents. We directly determine the scaling between PIM in Pt and the temperature-dependent interface magnetization in an adjacent ferromagnet (FM) using depth-resolved magnetometry. The magnetization due to PIM does not follow the generally expected linear scaling with the FM interface magnetization, as a function of temperature. Instead, it vanishes while the FM interface magnetization remains. The effective magnetic susceptibilities of heavy-metal (HM) layers...

Ultracold collisions of Cs in excited hyperfine and Zeeman states [dataset]

Matthew D. Frye
We investigate Cs+Cs scattering in excited Zeeman and hyperfine states. We calculate the real and imaginary parts of the s-wave scattering length; the imaginary part directly provides the rate coefficient for 2-body inelastic loss, while the real part allows us to identify regions of magnetic field where 3-body recombination will be slow. We identify field regions where Cs in its (f,mf)=(3,+2) and (3,+1) states may be stable enough to allow Bose-Einstein condensation, and additional regions...

Increased Lifetime of Metastable Skyrmions by Controlled Doping [dataset]

Thomas Birch
Previous observations of metastable magnetic skyrmions have shown that close to the equilibrium pocket the metastable state has a short lifetime, and therefore rapid cooling is required to generate a signi cant skyrmion population at low temperatures. Here, we report that the lifetime of metastable skyrmions in crystals of Cu2OSeO3 is extended by a factor of 50 with the introduction of only 2.5% zinc doping, allowing over 50% of the population to survive when eld-cooling...

3D Properties in (RE)BCO Tapes measured in Fields up to 35 T [dataset]

Satoshi Awaji, Elizabeth Surrey, Tatsunori Okada & Mark J. Raine
We have measured the temperature and angular dependence of the upper critical field (B¬_C2) for three state of the art (RE)BCO HTS tapes using variable-temperature ac susceptibility measurements in applied fields up to 35 T. The three tapes measured were a Fujikura tape without artificial pinning centers and Superpower tapes with and without artificial pinning centers. We have obtained fits to our B_C2 (T,θ) data using both the anisotropic Ginzburg-Landau (G-L) model and Klemm’s model...

Domain wall encoding of integer variables for quantum annealing and QAOA [dataset]

Nicholas Chancellor
All of the data from the paper, as well as an easy python module or creating domain wall encodings. Marked as software, even though it also does contain the datasets.

Coulomb anti-blockade in a Rydberg dressed gas [dataset]

Alistair Bounds & Matther Jones
We perform a comprehensive investigation of the coupling between a Rydberg-dressed atomic gas and an ultra-cold plasma. Using simultaneous timeresolved measurements of both neutral atoms and ions, we show that plasma formation occurs via a Coulomb anti-blockade mechanism, in which background ions DC Stark shift nearby atoms into resonance at specific distances. The result is a highly correlated growth of the Rydberg population that shares some similarities with that previously observed for van der Waals...

Shear reversal in dense suspensions: the challenge to fabric evolution models from simulation data [software]

Rahul Chacko, Romain Mari, Suzanne Fielding & Michael Cates
Dense suspensions of hard particles are important as industrial or environmental materials (e.g. fresh concrete, food, paint or mud). To date, most constitutive models developed to describe them are, explicitly or effectively, ‘fabric evolution models’ based on: (i) a stress rule connecting the macroscopic stress to a second-rank microstructural fabric tensor 𝙌 ; and (ii) a closed time-evolution equation for 𝙌 . In dense suspensions, most of the stress comes from short-ranged pairwise steric or...

Wafer Defect Microscopy Enhancement using Perceptually Motivated Super-Resolution Convolutional Neural Networks [dataset]

Russell Maguire
The silicon super-resolution (SiSR) network is a new convolutional neural network for enhancing the inspection of defects in silicon devices. This paper demonstrates how the proposed SiSR network is able to upscale microscopy images of patterns and defects by x4 in each direction, aiding inspection in small--medium scale device fabrication. The alignment cameras of a laser-writer were repurposed to capture a large dataset of patterned wafer microscopy examples at two different magnification factors, but small...

The effect of ambient humidity on the stiffness and strength of a hyper-compacted silty clay for earth building [dataset]

Alessia Cuccurullo
The effect of pore suction and water content on the engineering properties of partially saturated soils has been extensively studied by geotechnical researchers. It is well known that unsaturated soils become stiffer, stronger and less permeable as suction increases and saturation decreases. The results from these studies are however not directly applicable to the analysis of earth buildings, which are made of coarser soils compacted to a much denser state. The present paper investigates the...

Measuring the Formation Energy Barrier of Skyrmions in Zinc Substituted Cu2OSeO3 [dataset]

Murray N. Wilson, Marta Crisanti, Christopher Barker, Aleš Štefančič, Jonathan S. White, Max T. Birch, Geetha Balakrishnan, Robert Cubitt & Peter D. Hatton
We report small angle neutron scattering (SANS) measurements of the skyrmion lattice in (Cu0.976Zn0.024)2OSeO3 under the application of electric and magnetic fields. These measurements show an expansion of the skyrmion lattice stability region with electric field. Furthermore, using time-resolved SANS, we observe the slow formation of skyrmions after an electric or magnetic field is applied, which has not been observed in pristine Cu2OSeO3 crystals. The measured formation times are dramatically longer than the corresponding skyrmion...

Dynamic Vorticity Banding in Discontinuously Shear Thickening Suspensions [software]

Rahul Chacko, Romain Mari, Michael Cates & Suzanne Fielding
It has recently been argued that steady-state vorticity bands cannot arise in shear thickening suspensions because the normal stress imbalance across the interface between the bands will set up particle migrations. In this Letter, we develop a simple continuum model that couples shear thickening to particle migration. We show by linear stability analysis that homogeneous flow is unstable towards vorticity banding, as expected, in the regime of negative constitutive slope. In full nonlinear computations, we...

Rethinking Iberian ‘warrior’ stelae: a multidisciplinary investigation of Mirasiviene and its connection to Setefilla (Lora del Río, Seville, Spain) [dataset]

Marta Diaz-Guardamino
Iberian ‘warrior’ stelae have captured the imagination of researchers and the public for more than a century. Traditionally, stelae were considered ‘de-contextualised’ monuments, and research typically focused on the study of their iconography, paying little or no attention to their immediate contexts. As a result, despite the large number of these stelae known to date (c. 140) and the ample body of literature that has dealt with them, fundamental questions remain unanswered. This paper aims...

Coupling Molecular Dynamics and Deep Learning to Mine Protein Conformational Space [data and software]

Matteo Degiacomi
This work features generative neural networks (autoencoders) trained on protein structures produced by molecular simulations. Autoencoders are used to obtain new, plausible conformations complementing and extending pre-existing ones, usable in a protein-protein docking scenario.

A parabolic level set reinitialisation method using a discontinuous Galerkin discretisation [figure data]

Thomas Adams, Nicholas McLeish, Stefano Giani & William M Coombs
Level set reinitialisation is a part of the level set methodology which allows one to generate, at any point during level set evolution, a level set function which is a signed distance function to its own zero isocontour. Whilst not in general a required condition, maintaining the level set function as a signed distance function is often desirable as it removes a known source of numerical instability. This paper presents a novel level set reinitialisation...

Multifaceted design optimisation for superomniphobic surfaces [dataset]

Jack Panter & Halim Kusumaatmaja
This dataset contains the simulated data for the contact angle hysteresis (CAH), critical pressures, critical heights, transition state energies, and genetic algorithm populations presented in the results and discussions of the main text and supplementary material of: Panter, J. R., Gizaw, Y., and Kusumaatmaja, H., Multifaceted design optimisation for superomniphobic surfaces, Science Advances, 2019.

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