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We investigate the energy landscape of two dimensional network models for covalent glasses by means of the lid algorithm. For three different particle densities and for a range of network sizes, we exhaustively analyse many configuration…

统计力学 · 物理学 2009-10-31 J. Christian Schoen , Paolo Sibani

Monte Carlo algorithms such as the Wang-Landau algorithm and similar `entropic' methods are able to accurately sample the density of states of model systems and thereby give access to thermal equilibrium properties at any temperature.…

统计力学 · 物理学 2014-01-28 Daniele Barettin , Paolo Sibani

We present a statistical method for complex energy landscape exploration which provides information on the metastable states--or valleys--actually explored by an unperturbed aging process following a quench. Energy fluctuations of record…

统计力学 · 物理学 2009-11-10 Jesper Dall , Paolo Sibani

Given discrete degrees of freedom (spins) on a graph interacting via an energy function, what can be said about the energy local minima and associated inherent structures? Using the lid algorithm in the context of a spin glass energy…

无序系统与神经网络 · 物理学 2009-11-11 Z. Burda , A. Krzywicki , O. C. Martin , Z. Tabor

We investigate the multi-valley energy landscape of a 3-D on-lattice network model for covalent glasses, numerically determining the shape of the valleys, the local density of states, the density of minima and the local connectivity. We…

统计力学 · 物理学 2009-10-31 J. Christian Schoen , P. Sibani

Limited resources motivate decomposing large-scale problems into smaller,``local" subsystems and stitching together the so-found solutions. We explore the physics underlying this approach and discuss the concept of ``local hardness", i.e.,…

无序系统与神经网络 · 物理学 2025-12-24 Mutian Shen , Gerardo Ortiz , Zhiqiao Dong , Martin Weigel , Zohar Nussinov

Estimating the density of states of systems with rugged free energy landscapes is a notoriously difficult task of the utmost importance in many areas of physics ranging from spin glasses to biopolymers. Density of states estimation has also…

统计力学 · 物理学 2019-07-31 Lev Barash , Jeffrey Marshall , Martin Weigel , Itay Hen

The complex dynamics of an increasing number of systems is attributed to the emergence of a rugged energy landscape with an exponential number of metastable states. To develop this picture into a predictive dynamical theory I discuss how to…

无序系统与神经网络 · 物理学 2021-09-15 Tommaso Rizzo

In simulations of some infinite range spin glass systems with finite connectivity, it is found that for any resonable computational time, the saturatedenergy per spin that is achieved by a cluster algorithm is lowered in comparison to that…

凝聚态物理 · 物理学 2016-08-31 N. Persky , I. Kanter , S. Solomon

Large numbers of ground states of two-dimensional Ising spin glasses with periodic boundary conditions in both directions are calculated for sizes up to 40^2. A combination of a genetic algorithm and Cluster-Exact Approximation is used. For…

无序系统与神经网络 · 物理学 2009-10-31 Alexander K. Hartmann

The chapter starts with a historical summary of first attempts to optimize the spin glass Hamiltonian, comparing it to recent results on searching largest cliques in random graphs. Exact algorithms to find ground states in generic spin…

无序系统与神经网络 · 物理学 2023-01-03 Sergio Caracciolo , Alexander K. Hartmann , Scott Kirkpatrick , Martin Weigel

We describe a numerical algorithm for computing spin glass ground states with a high level of reliability. The method uses a population based search and applies optimization on multiple scales. Benchmarks are given leading to estimates of…

无序系统与神经网络 · 物理学 2009-11-07 Jerome Houdayer , Olivier C. Martin

All ground states and low-lying excitations of a +/- I Ising spin glass model on a cubic 4 x 4 x 4 lattice with periodical boundary conditions were calculated using a method of combinatorical optimization. The structure of states in the…

凝聚态物理 · 物理学 2016-08-31 T. Klotz , S. Kobe

We present an algorithm which calculates groundstates of Ising spin glasses approximately. It works by randomly selecting clusters of spins which exhibit no frustrations. The spins which were not selected, contribute to the local fields of…

凝聚态物理 · 物理学 2015-06-25 A. K. Hartmann

Due to an extremely rugged structure of the free energy landscape, the determination of spin-glass ground states is among the hardest known optimization problems, found to be NP-hard in the most general case. Owing to the specific structure…

无序系统与神经网络 · 物理学 2011-11-10 Martin Weigel

A simple geometrical characterization of configuration space neighborhoods of local energy minima in spin glass landscapes is found by exhaustive search. Combined with previous Monte Carlo investigations of thermal domain growth, it allows…

无序系统与神经网络 · 物理学 2015-06-25 Paolo Sibani

We consider optimization problems for complex systems in which the cost function has a multivalleyed landscape. We introduce a new class of dynamical algorithms which, using a suitable annealing procedure coupled with a balanced…

数学物理 · 物理学 2007-05-23 Pierluigi Contucci , Cristian Giardina' , Claudio Giberti , Cecilia Vernia

We study the distribution of overlaps of glassy minima, taking proper care of residual symmetries of the system. Ensembles of locally stable, low lying glassy states are efficiently generated by rapid cooling from the liquid phase which has…

软凝聚态物质 · 物理学 2009-10-31 K. K. Bhattacharya , K. Broderix , R. Kree , A. Zippelius

A ``ballistic-search'' algorithm is presented which allows the identification of clusters (or funnels) of ground states in Ising spin glasses even for moderate system sizes. The clusters are defined to be sets of states, which are connected…

无序系统与神经网络 · 物理学 2009-10-31 Alexander K. Hartmann

A method is presented, which allows to sample directly low-temperature configurations of glassy systems, like spin glasses. The basic idea is to generate ground states and low lying excited configurations using a heuristic algorithm. Then,…

无序系统与神经网络 · 物理学 2009-11-07 Alexander K. Hartmann , Federico Ricci-Tersenghi
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