Outputs (1792)

Inverse Physics-Informed Neural Networks for transport models in porous materials (2024)
Journal Article
Berardi, M., Difonzo, F. V., & Icardi, M. (2025). Inverse Physics-Informed Neural Networks for transport models in porous materials. Computer Methods in Applied Mechanics and Engineering, 435, Article 117628. https://doi.org/10.1016/j.cma.2024.117628

Physics-Informed Neural Networks (PINN) are a machine learning tool that can be used to solve direct and inverse problems related to models described by Partial Differential Equations by including in the cost function to minimise during training the... Read More about Inverse Physics-Informed Neural Networks for transport models in porous materials.

Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses (2024)
Journal Article
Forrester, M., Petros, S., Cattell, O., Lai, Y. M., ODea, R. D., Sotiropoulos, S., & Coombes, S. (2024). Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses. PLoS Computational Biology, 20(December), https://doi.org/10.1371/journal.pcbi.1012647

The ready availability of brain connectome data has both inspired and facilitated the modelling of whole brain activity using networks of phenomenological neural mass models that can incorporate both interaction strength and tract length between brai... Read More about Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses.

Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses (2024)
Journal Article
Forrester, M., Petros, S., Cattell, O., Lai, Y. M., O’Dea, R. D., Sotiropoulos, S., & Coombes, S. (2024). Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses. PLoS Computational Biology, 20(12), Article e1012647. https://doi.org/10.1371/journal.pcbi.1012647

The ready availability of brain connectome data has both inspired and facilitated the modelling of whole brain activity using networks of phenomenological neural mass models that can incorporate both interaction strength and tract length between brai... Read More about Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses.

Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges (2024)
Journal Article
Hill, E. M., Ryan, M., Haw, D., Lynch, M. P., McCabe, R., Milne, A. E., Turner, M. S., Vedhara, K., Zeng, F., Barons, M. J., Nixon, E. J., Parnell, S., & Bolton, K. J. (2024). Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges. Mathematics in Medical and Life Sciences, 1(1), Article 2429479. https://doi.org/10.1080/29937574.2024.2429479

This paper is part of a special issue on Behavioural Epidemiology.

Historically, responses to health-related emergencies (whether public health, veterinary health or plant health related) have exposed the deficiencies of mathematical models to inc... Read More about Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges.

Monitoring university student response to social distancing policy during the SARS-CoV-2 pandemic using Bluetooth: the RADAR study (2024)
Journal Article
Bolton, K. J., Mendez-Villalon, A., Nanji, H., Jia, R., Ayling, K., Figueredo, G., & Vedhara, K. (2024). Monitoring university student response to social distancing policy during the SARS-CoV-2 pandemic using Bluetooth: the RADAR study. Mathematics in Medical and Life Sciences, 1(1), Article 2425096. https://doi.org/10.1080/29937574.2024.2425096

Aim: We use the Remote Assessment of Disease and Relapses platform (RADAR) to collect Bluetooth contact and location data from university students. We test the ability of this technology to objectively capture social interaction, explore the propensi... Read More about Monitoring university student response to social distancing policy during the SARS-CoV-2 pandemic using Bluetooth: the RADAR study.

Systematics in tests of general relativity using LISA massive black hole binaries (2024)
Journal Article
Garg, M., Sberna, L., Speri, L., Duque, F., & Gair, J. (2024). Systematics in tests of general relativity using LISA massive black hole binaries. Monthly Notices of the Royal Astronomical Society, 535(4), 3283-3292. https://doi.org/10.1093/mnras/stae2605

Our current understanding is that an environment – mainly consisting of gas or stars – is required to bring massive black hole binaries (MBHBs) with total redshifted mass Mz ∼ [104, 107] M to the LISA band from parsec separation. Even in the gravitat... Read More about Systematics in tests of general relativity using LISA massive black hole binaries.

5d 2-Chern-Simons Theory and 3d Integrable Field Theories (2024)
Journal Article
Schenkel, A., & Vicedo, B. (2024). 5d 2-Chern-Simons Theory and 3d Integrable Field Theories. Communications in Mathematical Physics, 405(12), Article 293. https://doi.org/10.1007/s00220-024-05170-9

The 4-dimensional semi-holomorphic Chern-Simons theory of Costello and Yamazaki provides a gauge-theoretic origin for the Lax connection of 2-dimensional integrable field theories. The purpose of this paper is to extend this framework to the setting... Read More about 5d 2-Chern-Simons Theory and 3d Integrable Field Theories.

Object oriented data analysis of surface motion time series in peatland landscapes (2024)
Journal Article
Mitchell, E. G., Dryden, I. L., Fallaize, C. J., Andersen, R., Bradley, A. V., Large, D. J., & Sowter, A. (2025). Object oriented data analysis of surface motion time series in peatland landscapes. Journal of the Royal Statistical Society: Series C, 74(2), 406-428. https://doi.org/10.1093/jrsssc/qlae060

Peatlands account for 10% of UK land area, 80% of which are degraded to some degree, emitting carbon at a similar magnitude to oil refineries or landfill sites. A lack of tools for rapid and reliable assessment of peatland condition has limited monit... Read More about Object oriented data analysis of surface motion time series in peatland landscapes.

A range of voltage-clamp protocol designs for rapid capture of hERG kinetics (2024)
Preprint / Working Paper
Lei, C. L., J Whittaker, D., J Windley, M., D Perry, M., P Hill, A., & R Mirams, G. A range of voltage-clamp protocol designs for rapid capture of hERG kinetics

We provide details of a series of short voltage-clamp protocols designed for gathering a large amount of information on hERG (Kv11.1) ion channel gating. The protocols have a limited number of steps and consist only of steps and ramps, making them ea... Read More about A range of voltage-clamp protocol designs for rapid capture of hERG kinetics.

Competitive plasticity to reduce the energetic costs of learning (2024)
Journal Article
van Rossum, M. C. W., & Pache, A. (2024). Competitive plasticity to reduce the energetic costs of learning. PLoS Computational Biology, 20(10), Article e1012553. https://doi.org/10.1371/journal.pcbi.1012553

The brain is not only constrained by energy needed to fuel computation, but it is also constrained by energy needed to form memories. Experiments have shown that learning simple conditioning tasks which might require only a few synaptic updates, alre... Read More about Competitive plasticity to reduce the energetic costs of learning.