We analyze plasma heating in weakly collisional kinetic Alfv\'en wave (KAW) turbulence using high resolution gyrokinetic simulations spanning the ran…

We analyze the entropic equation of state for a many-particle interacting system in a scale-free network. The analysis is performed in terms of scali…

The random-cluster model, a correlated bond percolation model, unifies a range of important models of statistical mechanics in one description, inclu…

We present a feasible homopolar dynamo design consisting of a flat, multi-arm spiral coil, which is placed above a fast-spinning metal ring and conne…

Gene products (RNAs, proteins) often occur at low molecular counts inside individual cells, and hence are subject to considerable random fluctuations…

The Artificial Neural Networks (ANNs) have been originally designed to function like a biological neural network, but does an ANN really work in the …

Traditionally, researchers in decision making have focused on attempting to reach Pareto Optimality using horizontal approaches, where optimality is …

We consider a problem from biological network analysis of determining regions in a parameter space over which there are multiple steady states for po…

The goal of Machine Learning to automatically learn from data, extract knowledge and to make decisions without any human intervention. Such automatic…

In tokamak plasmas, sheared flows perpendicular to the driving temperature gradients can strongly stabilize linear modes. While the system is linearl…

We present a comprehensive numerical analysis of transient eddy-current flowmetering method for liquid metals. This type of flowmeter operates by tra…

We consider the problem of determining multiple steady states for positive real values in models of biological networks. Investigating the potential …

We analyze the fragmentation behavior of random clusters on the lattice under a process where bonds between neighboring sites are successively broken…

There has been recent interest in the use of machine learning (ML) approaches within mathematical software to make choices that impact on the computi…

We consider the coupling from the past implementation of the random-cluster heat-bath process, and study its random running time, or coupling time. W…

We use complex network concepts to analyze statistical properties of urban public transport networks (PTN). To this end, we present a comprehensive s…

Cylindrical Algebraic Decomposition (CAD) is a key tool in computational algebraic geometry, best known as a procedure to enable Quantifier Eliminati…

There are a variety of choices to be made in both computer algebra systems (CASs) and satisfiability modulo theory (SMT) solvers which can impact per…

In recent years, evaluation of the quality of academic research has become an increasingly important and influential business. It determines, often t…

Many spin systems affected by critical slowing down can be efficiently simulated using cluster algorithms. Where such systems have long-range interac…

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