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Absolute parallelism (AP) geometry is frequently used for physical applications. Although it is wider than Riemannian geometry, it has two main defects. The first is that its path equation does not represent physical trajectories of any…

General Relativity and Quantum Cosmology · Physics 2007-05-23 M. I. Wanas

It is argued that topological disorder in amorphous solids can be described by local strains related to local reference crystals and local rotations. An intuitive localization criterion is formulated from this point of view. The Inverse…

Disordered Systems and Neural Networks · Physics 2009-11-13 M. -L. Zhang , Y. Pan , F. Inam , D. A. Drabold

Pairwise comparisons are used in a wide variety of decision situations where the importance of alternatives should be measured on a numerical scale. One popular method to derive the priorities is based on the right eigenvector of a…

Optimization and Control · Mathematics 2021-02-23 László Csató , Dóra Gréta Petróczy

Hierarchy of one-parameter families of chaotic maps with an invariant measure have been introduced, where their appropriate coupling has lead to the generation of some coupled chaotic maps with an invariant measure. It is shown that these…

Chaotic Dynamics · Physics 2007-05-23 M. A. Jafarizadeh , S. Behnia

Using computed x-ray tomography we determine the three dimensional (3d) structure of binary hard sphere mixtures as a function of composition and size ratio of the particles, q. Using a recently introduced four-point correlation function we…

Soft Condensed Matter · Physics 2023-02-15 Houfei Yuan , Zhen Zhang , Walter Kob , Yujie Wang

Reducing the number of candidate structures is crucial to improve the efficiency of global optimization. Herein, we demonstrate that the generalized Hamiltonian can be described by the atom classification model (ACM) based on symmetry,…

Materials Science · Physics 2022-07-06 Yu-Jie Cen , Chang-chun He , Shao-Bin Qiu , Yu-Jun Zhao , Xiao-Bao Yang

Mesoscale simulations of woven composites using parameterized analytical geometries offer a way to connect constituent material properties and their geometric arrangement to effective composite properties and performance. However, the…

Materials Science · Physics 2023-02-21 Collin W. Foster , Lincoln N. Collins , Francesco Panerai , Scott A. Roberts

Crystals which have a uniform distribution of defects are endowed with a Lie group description which allows one to construct an associated discrete structure. These structures are in fact the discrete subgroups of the ambient Lie group. The…

Mathematical Physics · Physics 2013-10-02 Rachel Nicks

We prove sufficient conditions for Topological Quantum Order at both zero and finite temperatures. The crux of the proof hinges on the existence of low-dimensional Gauge-Like Symmetries (that notably extend and differ from standard local…

Strongly Correlated Electrons · Physics 2014-10-24 Zohar Nussinov , Gerardo Ortiz

We discuss existing and new computational analysis techniques to classify local atomic arrangements in large-scale atomistic computer simulations of crystalline solids. This article includes a performance comparison of typical analysis…

Materials Science · Physics 2012-06-13 Alexander Stukowski

Most of the current understanding of structure-property relations at the molecular and the supramolecular scales can be formulated in terms of the stability of and the interactions between a limited number of recurring structural motifs…

Chemical Physics · Physics 2018-01-29 Piero Gasparotto , Robert Horst Meißner , Michele Ceriotti

An exploratory approach to the possibility of analyzing nonorthogonality as a quantifiable property is presented. Three different measures for the nonorthogonality of pure states are introduced, and one of these measures is extended to…

Quantum Physics · Physics 2009-10-31 Oliver Cohen

Machine learning methods are being explored in many areas of science, with the aim of finding solution to problems that evade traditional scientific approaches due to their complexity. In general, an order parameter capable of identifying…

Soft Condensed Matter · Physics 2017-07-18 Adrián Soto , Deyu Lu , Shinjae Yoo , Mariví Fernández-Serra

In this paper certain $n$-dimensional inequalities are shown to be equivalent to the inequalities in the one-dimensional setting. By this means, embeddings between weighted local Morrey-type spaces are characterized for some ranges of…

Analysis of PDEs · Mathematics 2019-10-10 Amiran Gogatishvili , Tuğçe Ünver

In condensed matter physics gauge symmetries other than the U(1) of electromagnetism are of an emergent nature. Two emergence mechanisms for gauge symmetry are well established: the way these arise in Kramers-Wannier type local-global…

Strongly Correlated Electrons · Physics 2012-02-23 J. Zaanen , A. J. Beekman

We introduce a universally applicable method, based on the bond-algebraic theory of dualities, to search for generalized order parameters in disparate systems including non-Landau systems with topological order. A key notion that we advance…

Statistical Mechanics · Physics 2013-08-02 E. Cobanera , G. Ortiz , Z. Nussinov

We introduce the concept of {\it self-referential order} which provides a way to quantify structural organization in non crystalline materials. The key idea consists in the observation that, in a disordered system, where there is no ideal,…

Statistical Mechanics · Physics 2014-03-05 T. Aste , P. Butler , T. Di Matteo

Many classical geometric inequalities on functionals of convex bodies depend on the dimension of the ambient space. We show that this dimension dependence may often be replaced (totally or partially) by different symmetry measures of the…

Metric Geometry · Mathematics 2014-12-11 René Brandenberg , Stefan König

We propose a versatile, parameter-less approach for solving the shape matching problem, specifically in the context of atomic structures when atomic assignments are not known a priori. The algorithm Iteratively suggests Rotated…

Computational Physics · Physics 2021-11-02 Miha Gunde , Nicolas Salles , Anne Hémeryck , Layla Martin-Samos

We present a scalable machine learning (ML) model to predict local electronic properties such as on-site electron number and double occupation for disordered correlated electron systems. Our approach is based on the locality principle, or…

Strongly Correlated Electrons · Physics 2022-08-31 Yi-Hsuan Liu , Sheng Zhang , Puhan Zhang , Ting-Kuo Lee , Gia-Wei Chern