Outputs (105)

Establishing sustainable sediment budgets is critical for climate-resilient mega-deltas (2021)
Journal Article
Vasilopoulos, G., Quan, Q. L., Parsons, D. R., Darby, S. E., Tri, V. P. D., Hung, N. N., Haigh, I. D., Voepel, H. E., Nicholas, A. P., & Aalto, R. (2021). Establishing sustainable sediment budgets is critical for climate-resilient mega-deltas. Environmental Research Letters, 16(6), Article 064089. https://doi.org/10.1088/1748-9326/ac06fc

Many of the world's major river deltas face a sustainability crisis, as they come under threat of increases in salinity and the extent of tidal zones forced by combinations of sea-level rise, changes in river discharge and channel geometry. The relat... Read More about Establishing sustainable sediment budgets is critical for climate-resilient mega-deltas.

Ocean Acidification Amplifies the Olfactory Response to 2-Phenylethylamine: Altered Cue Reception as a Mechanistic Pathway? (2021)
Journal Article
Hardege, J. D., Schirrmacher, P., Roggatz, C. C., & Benoit, D. M. (in press). Ocean Acidification Amplifies the Olfactory Response to 2-Phenylethylamine: Altered Cue Reception as a Mechanistic Pathway?. Journal of Chemical Ecology, https://doi.org/10.1007/s10886-021-01276-9

With carbon dioxide (CO2) levels rising dramatically, climate change threatens marine environments. Due to increasing CO2 concentrations in the ocean, pH levels are expected to drop by 0.4 units by the end of the century. There is an urgent need to u... Read More about Ocean Acidification Amplifies the Olfactory Response to 2-Phenylethylamine: Altered Cue Reception as a Mechanistic Pathway?.

New experimental 23Na(α,p)26Mg Reaction Rate for Massive Star and Type-Ia Supernova models (2021)
Journal Article
J. Hubbard, N., Aa. Diget, C., P. Fox, S., O. U. Fynbo, H., M. Howard, A., S. Kirsebom, O., M. Laird, A., Munch, M., Parikh, A., Pignatari, M., & R. Tomlinson, J. (2021). New experimental 23Na(α,p)26Mg Reaction Rate for Massive Star and Type-Ia Supernova models. The Astrophysical journal, 912(1), Article 59. https://doi.org/10.3847/1538-4357/abee91

The 23Na(α,p)26Mg reaction has been identified as having a significant impact on the nucleosynthesis of several nuclei between Ne and Ti in type-Ia supernovae, and of 23Na and 26Al in massive stars. The reaction has been subjected to renewed experime... Read More about New experimental 23Na(α,p)26Mg Reaction Rate for Massive Star and Type-Ia Supernova models.

Adsorption trajectories of nonspherical particles at liquid interfaces (2021)
Journal Article
Buzza, D. M. A., Stasiuk, G. J., Horozov, T. S., Adawi, A. M., Bouillard, J.-S. G., Lowe, C., Fox, J., & Morgan, S. O. (2021). Adsorption trajectories of nonspherical particles at liquid interfaces. Physical Review E, 103(4), Article 042604. https://doi.org/10.1103/PhysRevE.103.042604

The adsorption of colloidal particles at liquid interfaces is of great importance scientifically and industrially, but the dynamics of the adsorption process is still poorly understood. In this paper we use a Langevin model to study the adsorption dy... Read More about Adsorption trajectories of nonspherical particles at liquid interfaces.

Mode Engineering in Large Arrays of Coupled Plasmonic–Dielectric Nanoantennas (2021)
Journal Article
Córdova‐Castro, R. M., Krasavin, A. V., Nasir, M. E., Wang, P., Bouillard, J. S. G., McPolin, C. P. T., & Zayats, A. V. (in press). Mode Engineering in Large Arrays of Coupled Plasmonic–Dielectric Nanoantennas. Advanced Optical Materials, Article 2001467. https://doi.org/10.1002/adom.202001467

Strong electromagnetic field confinement and enhancement can be readily achieved in plasmonic nanoantennas, however, this is considerably more difficult to realize over large areas, which is essential for many applications. Here, dispersion engineeri... Read More about Mode Engineering in Large Arrays of Coupled Plasmonic–Dielectric Nanoantennas.

Synchrotron X-ray imaging and ultrafast tomography in situ study of the fragmentation and growth dynamics of dendritic microstructures in solidification under ultrasound (2021)
Journal Article
Zhang, Z., Wang, C., Koe, B., Schlepütz, C. M., Irvine, S., & Mi, J. (2021). Synchrotron X-ray imaging and ultrafast tomography in situ study of the fragmentation and growth dynamics of dendritic microstructures in solidification under ultrasound. Acta Materialia, 209, Article 116796. https://doi.org/10.1016/j.actamat.2021.116796

High speed synchrotron X-ray imaging and ultrafast tomography were used to study in situ and in real time the fragmentation and growth dynamics of dendritic microstructures of an Al-15%Cu alloy in solidification under ultrasound. An ultrasound of 30... Read More about Synchrotron X-ray imaging and ultrafast tomography in situ study of the fragmentation and growth dynamics of dendritic microstructures in solidification under ultrasound.

Comparative cranial biomechanics in two lizard species: impact of variation in cranial design (2021)
Journal Article
Groning, F., Dutel, H., Gröning, F., Sharp, A. C., Watson, P. J., Herrel, A., Ross, C. F., Jones, M. E. H., Evans, S. E., & Fagan, M. J. (2021). Comparative cranial biomechanics in two lizard species: impact of variation in cranial design. The journal of experimental biology, 224(5), Article jeb.234831. https://doi.org/10.1242/jeb.234831

Cranial morphology in lepidosaurs is highly disparate and characterised by the frequent loss or reduction of bony elements. In varanids and geckos, the loss of the postorbital bar is associated with changes in skull shape, but the mechanical principl... Read More about Comparative cranial biomechanics in two lizard species: impact of variation in cranial design.

129I and 247Cm in meteorites constrain the last astrophysical source of solar r-process elements (2021)
Journal Article
Côté, B., Eichler, M., Yagüe, A., Vassh, N., Mumpower, M. R., Világos, B., Soós, B., Arcones, A., Sprouse, T. M., Surman, R., Pignatari, M., Pető, M. K., Wehmeyer, B., Rauscher, T., & Lugaro, M. (2021). 129I and 247Cm in meteorites constrain the last astrophysical source of solar r-process elements. Science, 371(6532), 945-948. https://doi.org/10.1126/science.aba1111

The composition of the early Solar System can be inferred from meteorites. Many elements heavier than iron were formed by the rapid neutron capture process (r-process), but the astrophysical sources where this occurred remain poorly understood. We de... Read More about 129I and 247Cm in meteorites constrain the last astrophysical source of solar r-process elements.

Project ThaiPASS: international outreach blending astronomy and Python (2021)
Journal Article
Keegans, J. D., Stancliffe, R. J., Bilton, L. E., Cashmore, C. R., Gibson, B. K., Kristensen, M. T., Lawson, T. V., Pignatari, M., Vaezzadeh, I., Côté, B., & Chongchitnan, S. (2021). Project ThaiPASS: international outreach blending astronomy and Python. Physics Education, 56(3), Article 035001. https://doi.org/10.1088/1361-6552/abdae7

We present our outreach program, the Thailand–UK Python+Astronomy Summer School (ThaiPASS), a collaborative project comprising UK and Thai institutions and assess its impact and possible application to schools in the United Kingdom. Since its incepti... Read More about Project ThaiPASS: international outreach blending astronomy and Python.

The horizon run 5 cosmological hydrodynamical simulation: probing galaxy formation from kilo- to gigaparsec scales (2021)
Journal Article
Lee, J., Shin, J., Snaith, O. N., Kim, Y., Few, C. G., Devriendt, J., Dubois, Y., Cox, L. M., Hong, S. E., Kwon, O. K., Park, C., Pichon, C., Kim, J., Gibson, B. K., & Park, C. (2021). The horizon run 5 cosmological hydrodynamical simulation: probing galaxy formation from kilo- to gigaparsec scales. The Astrophysical journal, 908(1), Article 11. https://doi.org/10.3847/1538-4357/abd08b

Horizon Run 5 (HR5) is a cosmological hydrodynamical simulation that captures the properties of the universe on a Gpc scale while achieving a resolution of 1 kpc. Inside the simulation box, we zoom in on a high-resolution cuboid region with a volume... Read More about The horizon run 5 cosmological hydrodynamical simulation: probing galaxy formation from kilo- to gigaparsec scales.

Förster resonance energy transfer and the local optical density of states in plasmonic nanogaps (2021)
Journal Article
Hamza, A. O., Viscomi, F. N., Bouillard, J. S. G., & Adawi, A. M. (2021). Förster resonance energy transfer and the local optical density of states in plasmonic nanogaps. Journal of Physical Chemistry Letters, 12(5), 1507-1513. https://doi.org/10.1021/acs.jpclett.0c03702

Förster resonance energy transfer (FRET) is a fundamental phenomenon in photosynthesis and is of increasing importance for the development and enhancement of a wide range of optoelectronic devices, including color-tuning LEDs and lasers, light harves... Read More about Förster resonance energy transfer and the local optical density of states in plasmonic nanogaps.

A divide-and-conquer approach to neural natural language generation from structured data (2021)
Journal Article
Dethlefs, N., Schoene, A., & Cuayáhuitl, H. (2021). A divide-and-conquer approach to neural natural language generation from structured data. Neurocomputing, 433, 300-309. https://doi.org/10.1016/j.neucom.2020.12.083

Current approaches that generate text from linked data for complex real-world domains can face problems including rich and sparse vocabularies as well as learning from examples of long varied sequences. In this article, we propose a novel divide-and-... Read More about A divide-and-conquer approach to neural natural language generation from structured data.

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease (2020)
Presentation / Conference Contribution
Rana, S. S., Ma, X., Pang, W., & Wolverson, E. (2020, December). A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. Presented at 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Leicester, United Kingdom

Mild cognitive impairment (MCI) has been described as the intermediary stage before Alzheimer's Disease - many people however remain stable or even demonstrate improvement in cognition. Early detection of progressive MCI (pMCI) therefore can be utili... Read More about A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease.

Multiscale characterization of the 3D network structure of metal carbides in a Ni superalloy by synchrotron X-ray microtomography and ptychography (2020)
Journal Article
Zhang, Z., Khong, J. C., Koe, B., Luo, S., Huang, S., Qin, L., Cipiccia, S., Batey, D., Bodey, A. J., Rau, C., Chiu, Y. L., Zhang, Z., Gebelin, J. C., Green, N., & Mi, J. (2021). Multiscale characterization of the 3D network structure of metal carbides in a Ni superalloy by synchrotron X-ray microtomography and ptychography. Scripta materialia, 193, 71-76. https://doi.org/10.1016/j.scriptamat.2020.10.032

Synchrotron X-ray microtomography and ptychography were used to characterize the 3D network structure, morphology and distribution of metal carbides in an as-cast IN713LC Ni superalloy. MC typed carbides were found to distribute mainly on the grain b... Read More about Multiscale characterization of the 3D network structure of metal carbides in a Ni superalloy by synchrotron X-ray microtomography and ptychography.

A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, July). A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines. Presented at 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK

© 2020 IEEE. Wind energy is one of the fastest-growing sustainable energy sources in the world but relies crucially on efficient and effective operations and maintenance to generate sufficient amounts of energy and reduce downtime of wind turbines an... Read More about A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines.

Evaluation of the N 13 (α,p) O 16 thermonuclear reaction rate and its impact on the isotopic composition of supernova grains (2020)
Journal Article
Meyer, A., De Séréville, N., Laird, A. M., Hammache, F., Longland, R., Lawson, T., Pignatari, M., Audouin, L., Beaumel, D., Fortier, S., Kiener, J., Lefebvre-Schuhl, A., Pellegriti, M. G., Stanoiu, M., & Tatischeff, V. (2020). Evaluation of the N 13 (α,p) O 16 thermonuclear reaction rate and its impact on the isotopic composition of supernova grains. Physical Review C, 102(3), Article 035803. https://doi.org/10.1103/PhysRevC.102.035803

Background: It has been recently suggested that hydrogen ingestion into the helium shell of massive stars could lead to high C13 and N15 excesses when the shock of a core-collapse supernova passes through its helium shell. This prediction questions t... Read More about Evaluation of the N 13 (α,p) O 16 thermonuclear reaction rate and its impact on the isotopic composition of supernova grains.

Shell-model studies of the astrophysical rp -process reactions S 34 (p,γ) Cl 35 and Cl 34g,m (p,γ) Ar 35 (2020)
Journal Article
Richter, W. A., Brown, B. A., Longland, R., Wrede, C., Denissenkov, P., Fry, C., Herwig, F., Kurtulgil, D., Pignatari, M., & Reifarth, R. (2020). Shell-model studies of the astrophysical rp -process reactions S 34 (p,γ) Cl 35 and Cl 34g,m (p,γ) Ar 35. Physical Review C, 102(2), Article 025801. https://doi.org/10.1103/PhysRevC.102.025801

© 2020 American Physical Society. Background: Dust grains condensed in the outflows of presolar classical novae should have been present in the protosolar nebula. Candidates for such presolar nova grains have been found in primitive meteorites and ca... Read More about Shell-model studies of the astrophysical rp -process reactions S 34 (p,γ) Cl 35 and Cl 34g,m (p,γ) Ar 35.

Quasicrystal formation in binary soft matter mixtures (2020)
Journal Article
Scacchi, A., Somerville, W. R. C., Buzza, D. M., & Archer, A. J. (2020). Quasicrystal formation in binary soft matter mixtures. Physical Review Research, 2(3), Article 032043(R). https://doi.org/10.1103/PhysRevResearch.2.032043

Using a strategy that may be applied in theory or in experiments, we identify the regime in which a model binary soft matter mixture forms quasicrystals. The system is described using classical density functional theory combined with integral equatio... Read More about Quasicrystal formation in binary soft matter mixtures.

Origin of Large Meteoritic SiC Stardust Grains in Metal-rich AGB Stars (2020)
Journal Article
Dell'Agli, F., D'Orazi, V., Schönb chler, M., Lugaro, M., Cseh, B., Világos, B., Karakas, A. I., Ventura, P., Dell’Agli, F., Trappitsch, R., Hampel, M., D’Orazi, V., Pereira, C. B., Tagliente, G., Szabó, G. M., Pignatari, M., Battino, U., Tattersall, A., Ek, M., Schönbächler, M., …Nittler, L. R. (2020). Origin of Large Meteoritic SiC Stardust Grains in Metal-rich AGB Stars. The Astrophysical journal, 898(2), Article 96. https://doi.org/10.3847/1538-4357/ab9e74

Stardust grains that originated in ancient stars and supernovae are recovered from meteorites and carry the detailed composition of their astronomical sites of origin. We present evidence that the majority of large (μm-sized) meteoritic silicon carbi... Read More about Origin of Large Meteoritic SiC Stardust Grains in Metal-rich AGB Stars.

Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners (2020)
Journal Article
Efthimiou, N., Thielemans, K., Emond, E., Cawthorne, C., Archibald, S. J., & Tsoumpas, C. (in press). Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners. EJNMMI Physics, 7(1), Article 42. https://doi.org/10.1186/s40658-020-00309-8

Introduction: Time-of-flight (TOF) positron emission tomography (PET) scanners can provide significant benefits by improving the noise properties of reconstructed images. In order to achieve this, the timing response of the scanner needs to be modell... Read More about Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners.