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Outputs (215)

Calibration-free regional RF shims for MRS (2021)
Journal Article
Berrington, A., Považan, M., Mirfin, C., Bawden, S., Park, Y. W., Marsh, D. C., …Gowland, P. A. (2021). Calibration-free regional RF shims for MRS. Magnetic Resonance in Medicine, 86(2), 611-624. https://doi.org/10.1002/mrm.28749

Purpose: Achieving a desired RF transmit field (B1+) in small regions-of-interest (ROIs) is critical for single-voxel MR spectroscopy at ultra-high field. RF shimming, using parallel transmission, requires B1+ mapping and optimisation, which limits i... Read More about Calibration-free regional RF shims for MRS.

Epitaxy of boron nitride monolayers for graphene-based lateral heterostructures (2021)
Journal Article
Wrigley, J., Bradford, J., James, T., Cheng, T. S., Thomas, J., Mellor, C. J., …Beton, P. H. (2021). Epitaxy of boron nitride monolayers for graphene-based lateral heterostructures. 2D Materials, 8(3), 1-10. https://doi.org/10.1088/2053-1583/abea66

Monolayers of hexagonal boron nitride (hBN) are grown on graphite substrates using high-temperature molecular beam epitaxy (HT-MBE). The hBN monolayers are observed to grow predominantly from step edges on the graphite surface and exhibit a strong de... Read More about Epitaxy of boron nitride monolayers for graphene-based lateral heterostructures.

Predicting Depression Onset in Young People Based on Clinical, Cognitive, Environmental, and Neurobiological Data (2021)
Journal Article
Toenders, Y. J., Kottaram, A., Dinga, R., Davey, C. G., Banaschewski, T., Bokde, A. L., …Schmaal, L. (2022). Predicting Depression Onset in Young People Based on Clinical, Cognitive, Environmental, and Neurobiological Data. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7(4), 376-384. https://doi.org/10.1016/j.bpsc.2021.03.005

Background Adolescent onset of depression is associated with long-lasting negative consequences. Identifying adolescents at risk for developing depression would enable the monitoring of risk-factors and the development of early intervention strategi... Read More about Predicting Depression Onset in Young People Based on Clinical, Cognitive, Environmental, and Neurobiological Data.

Evaluating the cost-effectiveness of universal hepatitis B virus vaccination in Iran: a Markov model analysis (2021)
Journal Article
Mokhtari, A. M., Barouni, M., Moghadami, M., Hassanzadeh, J., Dewey, R. S., & Mirahmadizadeh, A. (2021). Evaluating the cost-effectiveness of universal hepatitis B virus vaccination in Iran: a Markov model analysis. Human Vaccines and Immunotherapeutics, 17(6), 1825-1833. https://doi.org/10.1080/21645515.2020.1845522

Vaccination is an essential way to prevent the transmission of hepatitis B virus (HBV). Various studies have been published on the cost-effectiveness of HBV vaccination, but since the results vary according to the target population and related health... Read More about Evaluating the cost-effectiveness of universal hepatitis B virus vaccination in Iran: a Markov model analysis.

Adiabatic sensing technique for optimal temperature estimation using trapped ions (2021)
Journal Article
Kirkova, A. V., Li, W., & Ivanov, P. A. (2021). Adiabatic sensing technique for optimal temperature estimation using trapped ions. Physical Review Research, 3, Article 013244. https://doi.org/10.1103/physrevresearch.3.013244

We propose an adiabatic method for optimal phonon temperature estimation using trapped ions which can be operated beyond the Lamb-Dicke regime. The quantum sensing technique relies on a time-dependent red-sideband transition of phonon modes, describe... Read More about Adiabatic sensing technique for optimal temperature estimation using trapped ions.

Real- and Imaginary-Time Evolution with Compressed Quantum Circuits (2021)
Journal Article
Lin, S.-H., Dilip, R., Green, A. G., Smith, A., & Pollmann, F. (2021). Real- and Imaginary-Time Evolution with Compressed Quantum Circuits. PRX Quantum, 2, Article 010342. https://doi.org/10.1103/PRXQuantum.2.010342

The current generation of noisy intermediate-scale quantum computers introduces new opportunities to study quantum many-body systems. In this paper, we show that quantum circuits can provide a dramatically more efficient representation than current c... Read More about Real- and Imaginary-Time Evolution with Compressed Quantum Circuits.

Emergent Bloch Oscillations in a Kinetically Constrained Rydberg Spin Lattice (2021)
Journal Article
Magoni, M., Mazza, P., & Lesanovsky, I. (2021). Emergent Bloch Oscillations in a Kinetically Constrained Rydberg Spin Lattice. Physical Review Letters, 126(10), Article 103002. https://doi.org/10.1103/physrevlett.126.103002

We explore the relaxation dynamics of elementary spin clusters in a kinetically constrained spin system. Inspired by experiments with Rydberg lattice gases, we focus on the situation in which an excited spin leads to a "facilitated" excitation of a n... Read More about Emergent Bloch Oscillations in a Kinetically Constrained Rydberg Spin Lattice.

Beyond the Hubble Sequence - Exploring Galaxy Morphology with Unsupervised Machine Learning (2021)
Journal Article
Cheng, T.-Y., Huertas-Company, M., Conselice, C. J., Aragón-Salamanca, A., Robertson, B. E., & Ramachandra, N. (2021). Beyond the Hubble Sequence - Exploring Galaxy Morphology with Unsupervised Machine Learning. Monthly Notices of the Royal Astronomical Society, 503(3), 4446-4465. https://doi.org/10.1093/mnras/stab734

We explore unsupervised machine learning for galaxy morphology analyses using a combination of feature extraction with a vector-quantised variational autoencoder (VQ-VAE) and hierarchical clustering (HC). We propose a new methodology that includes: (... Read More about Beyond the Hubble Sequence - Exploring Galaxy Morphology with Unsupervised Machine Learning.