Computations and Measurements of the Magnetic Polarizability Tensor Characterisation of Highly Conducting and Magnetic Objects (2023)
Journal Article
Elgy, J., Ledger, P. D., Davidson, J. L., Özdeger, T., & Peyton, A. J. (2023). Computations and Measurements of the Magnetic Polarizability Tensor Characterisation of Highly Conducting and Magnetic Objects. Engineering Computations, 40(7/8), 1778-1806. https://doi.org/10.1108/EC-11-2022-0688

Purpose
The ability to characterise highly conducting objects, that may also be highly magnetic, by the complex symmetric rank–2 magnetic polarizability tensor (MPT) is important for metal detection applications including discriminating between thre... Read More about Computations and Measurements of the Magnetic Polarizability Tensor Characterisation of Highly Conducting and Magnetic Objects.

Reduced order modelling using neural networks for predictive modelling of 3d-magneto-mechanical problems with application to magnetic resonance imaging scanners (2023)
Journal Article
Miah, S., Sooriyakanthan, Y., Ledger, P. D., Gil, A. J., & Mallett, M. (2023). Reduced order modelling using neural networks for predictive modelling of 3d-magneto-mechanical problems with application to magnetic resonance imaging scanners. Engineering with Computers, 39(6), 4103-4127. https://doi.org/10.1007/s00366-023-01870-3

The design of magnets for magnetic resonance imaging (MRI) scanners requires the numerical simulation of a coupled magneto-mechanical system where the effects that different material parameters and in-service loading conditions have on both imaging a... Read More about Reduced order modelling using neural networks for predictive modelling of 3d-magneto-mechanical problems with application to magnetic resonance imaging scanners.

Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest (2023)
Journal Article
Elgy, J., & Ledger, P. D. (2023). Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest. Engineering with Computers, 39(6), 4061-4076. https://doi.org/10.1007/s00366-023-01868-x

The design of magnets for magnetic resonance imaging (MRI) scanners requires the numerical simulation of a coupled magneto-mechanical system where the effects that different material parameters and in-service loading conditions have on both imaging a... Read More about Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest.

Minimal Object Characterisations using Harmonic Generalised Polarizability Tensors and Symmetry Groups (2022)
Journal Article
Ledger, P., & Lionheart, B. (2022). Minimal Object Characterisations using Harmonic Generalised Polarizability Tensors and Symmetry Groups. SIAM Journal on Applied Mathematics, 2057-2079. https://doi.org/10.1137/22M1471547

We introduce a new type of object characterisation, which is capable of accurately describing small iso?lated inclusions for potential field inverse problems such as in electrostatics, magnetostatics and related
low frequency Maxwell problems. Relev... Read More about Minimal Object Characterisations using Harmonic Generalised Polarizability Tensors and Symmetry Groups.

Measurement of GMPT Coefficients for Improved Object Characterisation in Metal Detection (2021)
Journal Article
Ledger. (2021). Measurement of GMPT Coefficients for Improved Object Characterisation in Metal Detection. IEEE Sensors Journal, 2430-2446. https://doi.org/10.1109/JSEN.2021.3133950

Magnetic polarizability tensors (MPTs) have become popular for characterising conducting permeable objects and assisting with the identification of hidden objects in metal detection for applications in security screening, humanitarian demining and sc... Read More about Measurement of GMPT Coefficients for Improved Object Characterisation in Metal Detection.

Accelerating magnetic induction tomography‐based imaging through heterogeneous parallel computing (2019)
Journal Article
Walker, D. W., Kramer, S. C., Biebl, F. R. A., Ledger, P. D., & Brown, M. (in press). Accelerating magnetic induction tomography‐based imaging through heterogeneous parallel computing. Concurrency and Computation: Practice and Experience, e5265. https://doi.org/10.1002/cpe.5265

Magnetic Induction Tomography (MIT) is a non-invasive imaging technique, which has applications in both industrial and clinical settings. In essence, it is capable of reconstructing the electromagnetic parameters of an object from measurements made o... Read More about Accelerating magnetic induction tomography‐based imaging through heterogeneous parallel computing.

Characterisation of multiple conducting permeable objects in metal detection by polarizability tensors (2018)
Journal Article
Ledger, P. D., Lionheart, W. R. B., & Amad, A. A. S. (2019). Characterisation of multiple conducting permeable objects in metal detection by polarizability tensors. Mathematical Methods in the Applied Sciences, 42(3), 830-860. https://doi.org/10.1002/mma.5387

Realistic applications in metal detection involve multiple inhomogeneous-conducting permeable objects, and the aim of this paper is to characterise such objects by polarizability tensors. We show that, for the eddy current model, the leading order te... Read More about Characterisation of multiple conducting permeable objects in metal detection by polarizability tensors.