Outputs (14)

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.

The first microsolvation step for furans : new experiments and benchmarking strategies (2020)
Journal Article
Gottschalk, H. C., Poblotzki, A., Fatima, M., Obenchain, D. A., Pérez, C., Antony, J., Auer, A. A., Baptista, L., Benoit, D. M., Bistoni, G., Bohle, F., Dahmani, R., Firaha, D., Grimme, S., Hansen, A., Harding, M. E., Hochlaf, M., Holzer, C., Jansen, G., Klopper, W., …Schnell, M. (2020). The first microsolvation step for furans : new experiments and benchmarking strategies. The Journal of chemical physics, 152(16), 164303. https://doi.org/10.1063/5.0004465

The site-specific first microsolvation step of furan and some of its derivatives with methanol is explored to benchmark the ability of quantum-chemical methods to describe the structure, energetics, and vibrational spectrum at low temperature. Infrar... Read More about The first microsolvation step for furans : new experiments and benchmarking strategies.

Explaining the chemical trajectories of accreted and in-situ halo stars of the Milky Way (2020)
Journal Article
Brook, C. B., Kawata, D., Gibson, B. K., Gallart, C., & Vicente, A. (2020). Explaining the chemical trajectories of accreted and in-situ halo stars of the Milky Way. Monthly notices of the Royal Astronomical Society, 495(3), 2645-2651. https://doi.org/10.1093/mnras/staa992

© 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. The Milky Way underwent its last significant merger ten billion years ago, when the Gaia-Enceladus-Sausage (GES) was accreted. Accreted GES stars a... Read More about Explaining the chemical trajectories of accreted and in-situ halo stars of the Milky Way.

Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines (2020)
Journal Article
Chatterjee, J., & Dethlefs, N. (2020). Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines. Wind energy, 23(8), 1693-1710. https://doi.org/10.1002/we.2510

The last decade has witnessed an increased interest in applying machine learning techniques to predict faults and anomalies in the operation of wind turbines. These efforts have lately been dominated by deep learning techniques which, as in other fie... Read More about Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines.

Chromium Nucleosynthesis and Silicon-Carbon Shell Mergers in Massive Stars (2020)
Journal Article
Côté, B., Jones, S., Herwig, F., & Pignatari, M. (2020). Chromium Nucleosynthesis and Silicon-Carbon Shell Mergers in Massive Stars. The Astrophysical journal, 892(1), Article 57. https://doi.org/10.3847/1538-4357/ab77ac

We analyze the production of the element Cr in galactic chemical evolution (GCE) models using the NuGrid nucleosynthesis yields set. We show that the unusually large [Cr/Fe] abundance at [Fe/H] ≈ 0 reported by previous studies using those yields and... Read More about Chromium Nucleosynthesis and Silicon-Carbon Shell Mergers in Massive Stars.

A novel electromagnetic apparatus for in-situ synchrotron X-ray imaging study of the separation of phases in metal solidification (2020)
Journal Article
Koe, B., Abraham, C., Bailey, C., Greening, B., Small, M., Connolley, T., & Mi, J. (2020). A novel electromagnetic apparatus for in-situ synchrotron X-ray imaging study of the separation of phases in metal solidification. HardwareX, 7, Article e00104. https://doi.org/10.1016/j.ohx.2020.e00104

As a part of a research into new techniques for purifying recycled aluminium alloys, a novel electromagnetic apparatus had been developed for investigating in real-time the separation mechanisms of detrimental inclusions in aluminium alloy melts unde... Read More about A novel electromagnetic apparatus for in-situ synchrotron X-ray imaging study of the separation of phases in metal solidification.

Pattern formation in two-dimensional hard-core/soft-shell systems with variable soft shell profiles (2020)
Journal Article
Somerville, W. R. C., Law, A. D., Rey, M., Vogel, N., Archer, A. J., & Buzza, D. M. A. (2020). Pattern formation in two-dimensional hard-core/soft-shell systems with variable soft shell profiles. Soft matter, 16(14), 3564-3573. https://doi.org/10.1039/d0sm00092b

Hard-core/soft shell (HCSS) particles have been shown to self-assemble into a remarkably rich variety of structures under compression due to the simple interplay between the hard-core and soft-shoulder length scales in their interactions. Most studie... Read More about Pattern formation in two-dimensional hard-core/soft-shell systems with variable soft shell profiles.