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We reanalyze the allowed parameters for inhomogeneous big bang nucleosynthesis in light of the WMAP constraints on the baryon-to-photon ratio and a recent measurement which has set the neutron lifetime to be 878.5 +/- 0.7 +/- 0.3 seconds.…

Astrophysics · Physics 2008-11-26 J. F. Lara , T. Kajino , G. J. Mathews

Dynamic heterogeneity, believed to be one of the hallmarks of the dynamics of supercooled liquids, is expected to affect the diffusion of the particles comprising the liquid. We have carried out extensive molecular dynamics simulations of…

Soft Condensed Matter · Physics 2019-12-23 Rajsekhar Das , Chandan Dasgupta , Smarajit Karmakar

While exponential decay is ubiquitous in Nature, deviations at both short and long times are dictated by quantum mechanics. Non-exponential decay is known to arise due to the possibility of reconstructing the initial state from the decaying…

Quantum Physics · Physics 2012-03-26 A. del Campo

Branching ratios for fragmentation channels of important meta- and unstable species are essential for a molecular-level characterization of atmospheric chemistry. Here, the molecular product channels for the decomposition dynamics of the…

Chemical Physics · Physics 2026-01-21 Cangtao Yin , Markus Meuwly

Reaction networks have become a major modelling framework in the biological sciences from epidemiology and population biology to genetics and cellular biology. In recent years, much progress has been made on stochastic reaction networks…

Probability · Mathematics 2025-08-14 Linard Hoessly , Carsten Wiuf , Panqiu Xia

In order to simulate observational and experimental situations, we consider a leak in the phase space of a chaotic dynamical system. We obtain an expression for the escape rate of the survival probability applying the theory of transient…

Chaotic Dynamics · Physics 2009-02-02 Eduardo G. Altmann , Tamas Tel

A prominent chemical reaction in interstellar clouds is the formation of molecular hydrogen by recombination, which essentially takes place on dust grain surfaces. Analytical approaches to model such a system have hitherto neglected the…

Astrophysics · Physics 2009-11-11 Ingo Lohmar , Joachim Krug

In this paper we study the breakdown of normal hyperbolicity and its consequences for reaction dynamics; in particular, the dividing surface, the flux through the dividing surface (DS), and the gap time distribution. Our approach is to…

Chaotic Dynamics · Physics 2015-06-15 F. A. L. Mauguiere , P. Collins , G. S. Ezra , S. Wiggins

We consider a Hamiltonian system made of $N$ classical particles moving in two dimensions, coupled via an {\it infinite-range interaction} gauged by a parameter $A$. This system shows a low energy phase with most of the particles trapped in…

Statistical Mechanics · Physics 2009-11-07 Mickael Antoni , Stefano Ruffo , Alessandro Torcini

Many processes in chemistry, physics, and biology depend on thermally activated events in which the system changes its state by surmounting an activation barrier. Examples range from chemical reactions, protein folding, and nucleation…

Chemical Physics · Physics 2023-04-26 Pierpaolo Pravatto , Barbara Fresch , Giorgio J. Moro

Reaction rate equations are ordinary differential equations that are frequently used to describe deterministic chemical kinetics at the macroscopic scale. At the microscopic scale, the chemical kinetics is stochastic and can be captured by…

Soft Condensed Matter · Physics 2021-05-12 Ariana Torres-Knoop , Ivan Kryven

Complex biological and physical transport processes are often described through systems of interacting particles. Excluded-volume effects on these transport processes are well studied, however the interplay between volume exclusion and…

Statistical Mechanics · Physics 2018-06-27 Daniel Wilson , Helen Byrne , Maria Bruna

The rates of chemical reactions are not absolute but their magnitude depends upon the relative speeds of the moving observers. This has been proved by unifying theories of chemical kinetics, which are transition state theory, collision…

General Physics · Physics 2017-06-13 Mirza Wasif Baig

The stochastic dynamics of biochemical reaction networks can be accurately described by discrete-state Markov processes where each chemical reaction corresponds to a state transition of the process. Due to the largeness problem of the state…

Numerical Analysis · Mathematics 2015-10-01 Alexander Andreychenko , Linar Mikeev , Verena Wolf

The basic quantity for the description of the statistical properties of physical systems is the density of states or equivalently the microcanonical entropy. Macroscopic quantities of a system in equilibrium can be computed directly from…

Statistical Mechanics · Physics 2007-05-23 Michel Pleimling , Hans Behringer

The $S=1$ antiferromagnetic Heisenberg chain both with and without single ion anisotropy is studied. Using the recently proposed density matrix renormalization group technique we calculate the energy gaps as well as several different…

Condensed Matter · Physics 2012-07-07 E. Sorensen , I Affleck

The particle yields and particle number ratios in Pb+Pb collisions at the LHC energy $\sqrt{s_{NN}}=2.76$ TeV are described within the integrated hydrokinetic model (iHKM) at the two different equations of state (EoS) for the quark-gluon…

High Energy Physics - Phenomenology · Physics 2018-07-03 Yu. M. Sinyukov , V. M. Shapoval

Diffusion mediated reaction models are particularly ubiquitous in the description of physical, chemical or biological processes. The random walk schema is a useful tool for formulating these models. Recently, evanescent random walk models…

Data Analysis, Statistics and Probability · Physics 2015-10-08 Miguel A. Ré , Natalia C. Bustos

We study a zero-range process with system-size dependent jump rates, which is known to exhibit a discontinuous condensation transition. Metastable homogeneous phases and condensed phases coexist in extended phase regions around the…

Statistical Mechanics · Physics 2015-06-30 Paul Chleboun , Stefan Grosskinsky

Diffusion models have garnered significant attention since they can effectively learn complex multivariate Gaussian distributions, resulting in diverse, high-quality outcomes. They introduce Gaussian noise into training data and reconstruct…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Vidya Prasad , Chen Zhu-Tian , Anna Vilanova , Hanspeter Pfister , Nicola Pezzotti , Hendrik Strobelt
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