Mathematical Modelling with Multidisciplinary Applications (M3A): Recent submissions
Now showing items 120 of 187

Valleydependent Lorentz force and AharonovBohm phase in strained graphene pn junction
(PHYSICAL REVIEW B, 2019)Veselago lens focusing in graphene pn junction is promising for realizations of new generation electron optics devices. However, the effect of the straininduced AharonovBohm interference in a pn junction has not been ... 
Abinitio calculations of strain induced relaxed shape armchair graphene nanoribbon
(PHYSICA ELOWDIMENSIONAL SYSTEMS & NANOSTRUCTURES, 2019)An odd number of zigzag edges in armchair graphene nanoribbons and their mechanical properties (e.g., Young's modulus, Poisson ratio and shear modulus) have potential interest for bandgap engineering in graphene based ... 
Berry phase and spin precession without magnetic fields in semiconductor quantum dots
(EUROPEAN PHYSICAL JOURNAL B, 2019)We investigate electric field control of spin manipulation through Berry phase in IIIV semiconductor quantum dots. By utilizing degenerate and nondegenerate perturbation theories, we diagonalize the total Hamiltonian of ... 
Modeling microstructure evolution in shape memory alloy rods via Legendre wavelets collocation method
(JOURNAL OF MATERIALS SCIENCE, 2019)Microstructures play an important role in the research on shape memory alloys (SMA). By using mathematical modeling tools to study microstructures, it is possible to predict the behaviors of these materials under applied ... 
Parametric Vibration Analysis of Pipes Conveying Fluid by Nonlinear Normal Modes and a Numerical Iterative Approach
(Advances in Applied Mathematics and Mechanics, 2019)Nonlinear normal modes and a numerical iterative approach are applied to study the parametric vibrations of pipes conveying pulsating fluid as an example of gyroscopic continua. The nonlinear nonautonomous governing ... 
Spectral properties of hyperbolic nanonetworks with tunable aggregation of simplexes
(Physical Review E, 2019)Cooperative selfassembly is a ubiquitous phenomenon found in natural systems which is used for designing nanostructured materials with new functional features. Its origin and mechanisms, leading to improved functionality ... 
Coupled thermoelectromechanical models for thermal ablation of biological tissues and heat relaxation time effects
(Physics in Medicine & Biology, 2019)Thermal ablation is a widely applied electrosurgical process in medical treatment of soft biological tissues. Numerical modeling and simulations play an important role in prediction of temperature distribution and ... 
Computational Analysis of Pulsed Radiofrequency Ablation in Treating Chronic Pain
(Lecture Notes in Computer Science book series (LNCS, volume 11539), 201906)In this paper, a parametric study has been conducted to evaluate the effects of frequency and duration of the short burst pulses during pulsed radiofrequency ablation (RFA) in treating chronic pain. Affecting the brain and ... 
Radiofrequency Ablation for Treating Chronic Pain of Bones: Effects of Nerve Locations
(Bioinformatics and Biomedical Engineering, Springer, 201905)The present study aims at evaluating the effects of target nerve location from the bone tissue during continuous radiofrequency ablation (RFA) for chronic pain relief. A generalized threedimensional heterogeneous computational ... 
Functional Geometry of Human Connectomes
(SCIENTIFIC REPORTS, 201908)Mapping the brain imaging data to networks, where nodes represent anatomical brain regions and edges indicate the occurrence of fiber tracts between them, has enabled an objective graphtheoretic analysis of human connectomes. ... 
Advanced Mathematical Modelling of Pancreatic βCells
(20191210)Insulinsecreting pancreatic $\beta$cells are responsible for maintaining the whole body glucose homeostasis. Dysfunction or loss of $\beta$cell mass results in impaired insulin secretion and, in some cases, diabetes. ... 
An optimal scaling to computationally tractable dimensionless models: Study of latex particles morphology formation
(Computer Physics Communications, 202002)In modelling of chemical, physical or biological systems it may occur that the coefficients, multiplying various terms in the equation of interest, differ greatly in magnitude, if a particular system of units is used. Such ... 
Computing Multipersistence by Means of Spectral Systems
(Proceedings of the 2019 on International Symposium on Symbolic and Algebraic Computation, 20190708)In their original setting, both spectral sequences and persistent homology are algebraic topology tools defined from filtrations of objects (e.g. topological spaces or simplicial complexes) indexed over the set Z of integer ... 
Metamodeling on detailed geography for accurate prediction of invasive alien species dispersal
(Scientific Reports, 20191107)Invasive species are recognized as a significant threat to biodiversity. The mathematical modeling of their spatiotemporal dynamics can provide significant help to environmental managers in devising suitable control ... 
Clinical correlates of mathematical modeling of cortical spreading depression: Single‐cases study
(Brain and Behavior, 20190728)Introduction: Considerable connections between migraine with aura and cortical spreading depression (CSD), a depolarization wave originating in the visual cortex and traveling toward the frontal lobe, lead to the hypothesis ... 
A roadmap to integrate astrocytes into Systems Neuroscience
(Glia, 20190506)Systems Neuroscience is still mainly a neuronal field, despite the plethora of evidence supporting the fact that astrocytes modulate local neural circuits, networks, and complex behaviors. In this article, we sought to ... 
Metastable resting state brain dynamics
(Frontiers in Computational Neuroscience, 20190906)Metastability refers to the fact that the state of a dynamical system spends a large amount of time in a restricted region of its available phase space before a transition takes place, bringing the system into another state ... 
Modified Hamiltonian Monte Carlo for Bayesian Inference
(Statistics and Computing, 20190722)The Hamiltonian Monte Carlo (HMC) method has been recognized as a powerful sampling tool in computational statistics. We show that performance of HMC can be significantly improved by incorporating importance sampling and ... 
Opportunities at the Intersection of Synthetic Biology, Machine Learning, and Automation
(ACS Synthetic Biology, 201907)Our inability to predict the behavior of biological systems severely hampers progress in bioengineering and biomedical applications. We cannot predict the effect of genotype changes on phenotype, nor extrapolate the ... 
A concerted systems biology analysis of phenol metabolism in Rhodococcus opacus PD630
(Metabolic Engineering, 201906)Rhodococcus opacus PD630 metabolizes aromatic substrates and naturally produces branchedchain lipids, which are advantageous traits for lignin valorization. To provide insights into its lignocellulose hydrolysate utilization, ...