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Asymptotic approximations to travelling waves in the diatomic fermi-pasta-ulam lattice (2019)
Journal Article
Wattis, J. A. (2019). Asymptotic approximations to travelling waves in the diatomic fermi-pasta-ulam lattice. Mathematics in Engineering, 1(2), 327-342. doi:10.3934/mine.2019.2.327

We construct high-order approximate travelling waves solutions of the diatomic Fermi-Pasta-Ulam lattice using asymptotic techniques which are valid for arbitrary mass ratios. Separately small amplitude ansatzs are made for the motion of the lighter a... Read More

Quantifying age and model uncertainties in palaeoclimate data and dynamical climate models with a joint inferential analysis (2019)
Journal Article
Carson, J., Crucifix, M., Preston, S., & Wilkinson, R. (in press). Quantifying age and model uncertainties in palaeoclimate data and dynamical climate models with a joint inferential analysis. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences,

The study of palaeoclimates relies on information sampled in natural archives such as deep sea cores. Scientific investigations often use such information in multi- stage analyses, typically with an age model being fitted to a core to convert depths... Read More

A hybrid machine-learning algorithm for designing quantum experiments (2019)
Journal Article
O 'driscoll, L., Nichols, R., & Knott, P. (in press). A hybrid machine-learning algorithm for designing quantum experiments. Quantum Machine Intelligence,

We introduce a hybrid machine-learning algorithm for designing quantum optics experiments to produce specific quantum states. Our algorithm successfully found experimental schemes to produce all 5 states we asked it to, including Schrödinger cat stat... Read More

Scaled von Mises-Fisher distributions and regression models for paleomagnetic directional data (2019)
Journal Article
Scealy, J., & Wood, A. T. (2019). Scaled von Mises-Fisher distributions and regression models for paleomagnetic directional data. Journal of the American Statistical Association, doi:10.1080/01621459.2019.1585249

We propose a new distribution for analysing paleomagnetic directional data that is a novel transformation of the von Mises-Fisher distribution. The new distribution has ellipse-like symmetry, as does the Kent distribution; however, unlike the Kent di... Read More

Characterising droplet breakup rates of shear-thinning dispersed phase in microreactors (2019)
Journal Article
Wong, V., Loizou, K., Lau, P., Graham, R. S., & Hewkandamby, B. N. (2019). Characterising droplet breakup rates of shear-thinning dispersed phase in microreactors. Chemical Engineering Research and Design, 144, 370-385. doi:10.1016/j.cherd.2019.02.024

A two-phase flow predictive model with the integration of conservative level-set method (LSM) and Carreau-Yasuda constitutive equation was developed herein. The LSM was chosen as a potential interface capturing scheme for elucidating the interfacial... Read More

Gsmodutils: A python based framework for test-driven genome scale metabolic model development (2019)
Journal Article
Gilbert, J., Pearcy, N., Norman, R., Millat, T., Winzer, K., King, J., …Twycross, J. (2019). Gsmodutils: A python based framework for test-driven genome scale metabolic model development. Bioinformatics, doi:10.1093/bioinformatics/btz088

Motivation Genome scale metabolic models (GSMMs) are increasingly important for systems biology and metabolic engineering research as they are capable of simulating complex steady-state behaviour. Constraints based models of this form can include th... Read More

Inhomogeneous universe from group field theory condensate (2019)
Journal Article
Gielen, S. (2019). Inhomogeneous universe from group field theory condensate. Journal of Cosmology and Astroparticle Physics, 2019(2), doi:10.1088/1475-7516/2019/02/013

One of the fundamental challenges for quantum cosmology is to explain the emergence of our macroscopic Universe from physics at the Planck scale. In the group field theory (GFT) approach to quantum gravity, such a macroscopic universe results from th... Read More

Distribution on warp maps for alignment of open and closed curves (2019)
Journal Article
Bharath, K., & Kurtek, S. (in press). Distribution on warp maps for alignment of open and closed curves. Journal of the American Statistical Association,

Alignment of curve data is an integral part of their statistical analysis, and can be achieved using model-or optimization-based approaches. The parameter space is usually the set of monotone, continuous warp maps of a domain. Infinite-dimensional na... Read More

A geometric variational approach to Bayesian inference (2019)
Journal Article
Saha, A., Bharath, K., & Kurtek, S. (in press). A geometric variational approach to Bayesian inference. Journal of the American Statistical Association,

We propose a novel Riemannian geometric framework for variational inference in Bayesian models based on the nonparametric Fisher–Rao metric on the manifold of probability density functions. Under the square-root density representation, the manifold c... Read More

An integrated functional Weissman estimator for conditionalextreme quantiles (2019)
Journal Article
Gardes, L., & Stupfler, G. (2019). An integrated functional Weissman estimator for conditionalextreme quantiles. Revstat Statistical Journal, 17(1), 109-144

It is well-known that estimating extreme quantiles, namely, quantiles lying beyond the range of the available data, is a nontrivial problem that involves the analysis of tail behavior through the estimation of the extreme-value index. For heavy-taile... Read More

Gorenstein formats, canonical and Calabi-Yau threefolds (2019)
Journal Article
Brown, G., Kasprzyk, A., & Zhu, L. (in press). Gorenstein formats, canonical and Calabi-Yau threefolds. Experimental Mathematics,

Gorenstein formats present the equations of regular canonical, Calabi–Yau and Fano varieties embedded by subcanonical divisors. We present a new algorithm for the enumeration of these formats based on orbifold Riemann-Roch and knapsack packing-type a... Read More

A stochastic SIR network epidemic model with preventive dropping of edges (2019)
Journal Article
Ball, F., Britton, T., Yin Leung, K., & Sirl, D. (in press). A stochastic SIR network epidemic model with preventive dropping of edges. Journal of Mathematical Biology, doi:10.1007/s00285-019-01329-4

A Markovian SIR (Susceptible – Infectious - Recovered) model is considered for the spread of an epidemic on a configuration model network, in which susceptible individuals may take preventive measures by dropping edges to infectious neighbours. An ef... Read More

Homotopy theory of algebraic quantum field theories (2019)
Journal Article
Benini, M., Schenkel, A., & Woike, L. (2019). Homotopy theory of algebraic quantum field theories. Letters in Mathematical Physics, doi:10.1007/s11005-018-01151-x

Motivated by gauge theory, we develop a general framework for chain complex valued algebraic quantum field theories. Building upon our recent operadic approach to this subject, we show that the category of such theories carries a canonical model stru... Read More

The multiplicative loops of Jha-Johnson semifields (2019)
Journal Article
Pumpluen, S. (2019). The multiplicative loops of Jha-Johnson semifields. Communications in Contemporary Mathematics, 721, 227-242

The multiplicative loops of Jha-Johnson semifields are non-automorphic finite loops whose left and right nuclei are the multiplicative groups of a field extension of their centers. They yield examples of finite loops with non-trivial automorphism gro... Read More

Small airway hyperresponsiveness in COPD: relationship between structure and function in lung slices (2019)
Journal Article
Maarsingh, H., Bidan, C. M., Brook, B. S., Zuidhof, A. B., Elzinga, C. R., Smit, M., …Meurs, H. (2019). Small airway hyperresponsiveness in COPD: relationship between structure and function in lung slices. AJP - Lung Cellular and Molecular Physiology, 316(3), L537-L546. doi:10.1152/ajplung.00325.2018

The direct relationship between pulmonary structural changes and airway hyperresponsiveness (AHR) in chronic obstructive pulmonary disease (COPD) is unclear. We investigated AHR in relation to airway and parenchymal structural changes in a guinea pig... Read More

State exchange with quantum side information (2019)
Journal Article
Lee, Y., Takagi, R., Yamasaki, H., Adesso, G., & Lee, S. (2019). State exchange with quantum side information. Physical Review Letters, 122(1), doi:10.1103/physrevlett.122.010502

We consider a quantum communication task between two users Alice and Bob, in which Alice and Bob exchange their respective quantum information by means of local operations and classical communication assisted by shared entanglement. Here, we assume t... Read More

Understanding flow-induced crystallisation in polymers: a perspective on the role of molecular simulations (2019)
Journal Article
Graham, R. S. (2019). Understanding flow-induced crystallisation in polymers: a perspective on the role of molecular simulations. Journal of Rheology, 63(1), 203-214. doi:10.1122/1.5056170

Flow induced crystallisation in polymers is an important problem in both fundamental polymer science and industrial polymer processing. The key process of flow-induced nucleation occurs on a very rapid timescale and on a highly localised lengthscale... Read More

Mass-growth of a finite tube reinforced by a pair of helical fibres (2019)
Journal Article
Soldatos, K. P. (2019). Mass-growth of a finite tube reinforced by a pair of helical fibres. Mechanics Research Communications, 95, 71-78. doi:10.1016/j.mechrescom.2019.01.002

Several types of tube-like fibre-reinforced tissue, including the layers of arteries and veins, different kinds of muscle, biological tubes as well as plants and trees, are reinforced by a pair of helical fibres wound symmetrically around the tube ax... Read More

Systematic derivation of hybrid coarse-grained models (2019)
Journal Article
Di Pasquale, N., Hudson, T., & Icardi, M. (2019). Systematic derivation of hybrid coarse-grained models. Physical Review E, 99(1), doi:10.1103/PhysRevE.99.013303

Molecular dynamics represents a key enabling technology for applications ranging from biology to the development of new materials. However, many real-world applications remain inaccessible to fully-resolved simulations due their unsustainable computa... Read More

Next-generation neural field model: The evolution of synchrony within patterns and waves (2019)
Journal Article
Byrne, Á., Avitabile, D., & Coombes, S. (2019). Next-generation neural field model: The evolution of synchrony within patterns and waves. Physical Review E, 99(1), doi:10.1103/physreve.99.012313

Neural field models are commonly used to describe wave propagation and bump attractors at a tissue level in the brain. Although motivated by biology, these models are phenomenological in nature. They are built on the assumption that the neural tissue... Read More