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Related papers: Simple chemical systems with chaos

200 papers

Microscopic flows are almost universally linear, laminar and stationary because Reynolds number, $Re$, is usually very small. That impedes mixing in micro-fluidic devices, which sometimes limits their performance. Here we show that truly…

Chaotic Dynamics · Physics 2009-11-10 Teodor Burghelea , Enrico Segre , Israel Bar-Joseph , Alex Groisman , Victor Steinberg

We numerically study quantum chaos properties of long-range XXZ dipolar Hamiltonian spin systems. Two geometries are considered: (i) an open chain with 19 spins, (ii) a face-centered cubic lattice with 14 spins. Energy level-spacing…

Quantum Physics · Physics 2017-11-07 Dhrubo Jyoti

Chaos is associated with stochasticity, complex, irregular motion, etc. It has some peculiar properties such as ergodicity, highly initial value sensitivity, non-periodicity and long-term unpredictability. These pseudo random features lead…

Chaotic Dynamics · Physics 2019-03-13 Liu Jizhao , Zhang Xiangzi , Lian Jing , Ma Yide , Chang Pengbin , Huang Fangjun

Understanding the emergent behavior of chemical reaction networks (CRNs) is a fundamental aspect of biology and its origin from inanimate matter. A closed CRN monotonically tends to thermal equilibrium, but when it is opened to external…

Molecular Networks · Quantitative Biology 2024-05-16 Masanari Shimada , Pegah Behrad , Eric De Giuli

In this letter, taking the well known (2+1)-dimensional soliton systems, Davey-Stewartson (DS) model and the asymmetric Nizhnik-Novikov-Veselov (ANNV) model, as two special examples, we show that some types of lower dimensional chaotic…

Pattern Formation and Solitons · Physics 2007-05-23 Sen-yue Lou , Xiao-yan Tang , Ying Zhang

We numerically investigate the minimum number of interacting particles, which is required for the onset of strong chaos in quantum systems on a one-dimensional lattice with short-range and long-range interactions. We consider multiple…

Statistical Mechanics · Physics 2021-04-28 Guy Zisling , Lea F. Santos , Yevgeny Bar Lev

Mass-action chemical reaction systems are frequently used in Computational Biology. The corresponding polynomial dynamical systems are often large (consisting of tens or even hundreds of ordinary differential equations) and poorly…

Dynamical Systems · Mathematics 2011-07-13 Mercedes Perez Millan , Alicia Dickenstein , Anne Shiu , Carsten Conradi

This overview focuses on the notion of partial dynamical symmetry (PDS), for which a prescribed symmetry is obeyed by a subset of solvable eigenstates, but is not shared by the Hamiltonian. General algorithms are presented to identify…

Nuclear Theory · Physics 2013-04-16 A. Leviatan

We introduce the simplest model to describe parametric interactions in a quadratically nonlinear optical medium with the fundamental harmonic containing two components with (slightly) different carrier frequencies [which is a direct analog…

Pattern Formation and Solitons · Physics 2009-11-07 I. N. Towers , B. A. Malomed

For classical discrete system under constant composition, typically reffered to as substitutional alloys, correspondence between interatomic many-body interactions and structure in thermodynamic equilibrium exhibit profound, complicated…

Statistical Mechanics · Physics 2024-05-29 Keigo Kamei , Koretaka Yuge

Systematic enumeration of crystalline networks with some special topological characters is of considerable interest in both mathematics and crystallography. Based on the restriction of lattice in cubic and inequivalent nodes not exceeding…

Materials Science · Physics 2013-02-27 Chaoyu He , L. Z. Sun , C. X. Zhang , J. X. Zhong

Most classical dynamical systems are chaotic. The trajectories of two identical systems prepared in infinitesimally different initial conditions diverge exponentially with time. Quantum systems, instead, exhibit quasi-periodicity due to…

We investigate the ability of simple diagnostics based on Lagrangian descriptor (LD) computations of initially nearby orbits to detect chaos in conservative dynamical systems with phase space dimensionality higher than two. In particular,…

Earth and Planetary Astrophysics · Physics 2023-08-09 Sebastian Zimper , Arnold Ngapasare , Malcolm Hillebrand , Matthaios Katsanikas , Stephen R. Wiggins , Charalampos Skokos

In this paper, an extremely accurate numerical algorithm, namely the "clean numerical simulation" (CNS), is proposed to accurately simulate the propagation of micro-level inherent physical uncertainty of chaotic dynamic systems. The chaotic…

Chaotic Dynamics · Physics 2012-12-27 S. J. Liao

The phenomenon of Stochastic Resonance (SR) is reported in a completely noise-free situation, with the role of thermal noise being taken by low-dimensional chaos. A one-dimensional, piecewise linear map and a pair of coupled…

chao-dyn · Physics 2009-10-31 Sitabhra Sinha

The study of the phase space of multidimensional systems is one of the central open problems in dynamical systems. Being able to distinguish chaoticity from regularity in nonlinear dynamical systems, as well as to determine the subspace of…

Chaotic Dynamics · Physics 2022-06-07 Katsanikas Matthaios , Agaoglou Makrina , Francisco Gonzalez Montoya

The simplest non-trivial model of chaotic Bohmian dynamics is identified. We argue that its most important features can be observed in more complex models, above all, the presumable mechanism of the appearance of chaos in the Bohmian-type…

Quantum Physics · Physics 2007-05-23 Adam J. Makowski , Michal Frackowiak

In this work, we introduce a new three-dimensional chaotic differential dynamical system. We find equilibrium points of this system and provide the stability conditions for various fractional orders. Numerical simulations will be used to…

Chaotic Dynamics · Physics 2020-07-08 Madhuri Patil , Sachin Bhalekar

It is well known that chaotic dynamic systems (such as three-body system, turbulent flow and so on) have the sensitive dependance on initial conditions (SDIC). Unfortunately, numerical noises (such as truncation error and round-off error)…

Chaotic Dynamics · Physics 2016-09-30 Xiaoming Li , Shijun Liao

Polynomial chaos is a powerful technique for propagating uncertainty through ordinary and partial differential equations. Random variables are expanded in terms of orthogonal polynomials and differential equations are derived for the…

Computation · Statistics 2014-06-18 José Miguel Pasini , Tuhin Sahai