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The geometrical structures (in the sense of E. Cartan) are analyzed which underlie the gravitational radiation phenomenon. Among the results are : - the introduction of the adapted frame bundle to a congruence of isotropic hypersurfaces in…

dg-ga · Mathematics 2008-02-03 G. Burdet , M. Perrin

Domain generalization aims to learn a generalizable model from a known source domain for various unknown target domains. It has been studied widely by domain randomization that transfers source images to different styles in spatial space…

Computer Vision and Pattern Recognition · Computer Science 2021-03-04 Jiaxing Huang , Dayan Guan , Aoran Xiao , Shijian Lu

In the framework of the Landau-Ginzburg-Devonshire (LGD) approach we studied finite size effects of the phase diagram and domain structure evolution in spherical nanoparticles of uniaxial ferroelectric. The particle surface is covered by a…

Gravitational waves are propagating undulations in the spacetime fabric, which interact very weakly with their environment. In cosmology, gravitational-wave distortions are produced by most of the inflationary scenarios and their…

General Relativity and Quantum Cosmology · Physics 2016-03-30 Despoina Pazouli , Christos G. Tsagas

Terrace-sized, single-orientation graphene can be grown on top of a carbon buffer layer on silicon carbide by thermal decomposition. Despite its homogeneous appearance, a surprisingly large variation in electron transport properties is…

Mesoscale and Nanoscale Physics · Physics 2023-03-21 Tobias A. de Jong , Luuk Visser , Johannes Jobst , Ruud M. Tromp , Sense Jan van der Molen

The nature of the amorphous state has been notably difficult to ascertain at the microscopic level. In addition to the fundamental importance of understanding the amorphous state, potential changes to amorphous structures as a result of…

Disordered Systems and Neural Networks · Physics 2020-07-30 A. Diver , O. Dicks , A. M. Elena , I. T. Todorov , K. Trachenko

This paper presents a new approach for 3D shape generation, enabling direct generative modeling on a continuous implicit representation in wavelet domain. Specifically, we propose a compact wavelet representation with a pair of coarse and…

Computer Vision and Pattern Recognition · Computer Science 2022-09-20 Ka-Hei Hui , Ruihui Li , Jingyu Hu , Chi-Wing Fu

Boundary-induced pattern formation from a spatially uniform state is investigated using one-dimensional reaction-diffusion equations. The temporal oscillation is successively transformed into a spatially periodic pattern, triggered by…

Pattern Formation and Solitons · Physics 2017-02-01 Takahiro Kohsokabe , Kunihiko Kaneko

Recent experiments show striking unexpected features when alternating square magnetic field pulses are applied to ferromagnetic samples: domains show area reduction and domains walls change their roughness. We explain these phenomena with a…

Disordered Systems and Neural Networks · Physics 2021-11-17 Nirvana Caballero

A novel form of Ramsey narrowing is identified and characterized. For long-lived coherent atomic states coupled by laser fields, the diffusion of atoms in-and-out of the laser beam induces a spectral narrowing of the atomic resonance…

Quantum Physics · Physics 2015-06-26 Yanhong Xiao , Irina Novikova , David F. Phillips , Ronald L. Walsworth

Excitation of surface plasmon waves in extrinsic graphene is studied using a full-wave electromagnetic field solver as analysis engine. Particular emphasis is placed on the role played by spatial dispersion due to the finite size of the…

Mesoscale and Nanoscale Physics · Physics 2015-10-21 Davide Mencarelli , Stefano Bellucci , Antonello Sindona , Luca Pierantoni

Transforming two-dimensional (2D) images into three-dimensional (3D) volumes is a well-known yet challenging problem for the computer vision community. In the medical domain, a few previous studies attempted to convert two or more input…

Image and Video Processing · Electrical Eng. & Systems 2024-04-22 Pouria Rouzrokh , Bardia Khosravi , Shahriar Faghani , Kellen L. Mulford , Michael J. Taunton , Bradley J. Erickson , Cody C. Wyles

Graph contrastive learning is a general learning paradigm excelling at capturing invariant information from diverse perturbations in graphs. Recent works focus on exploring the structural rationale from graphs, thereby increasing the…

Machine Learning · Computer Science 2024-04-09 Qirui Ji , Jiangmeng Li , Jie Hu , Rui Wang , Changwen Zheng , Fanjiang Xu

An explanation is proposed for the recently observed in optical spectra of monolayer graphene giant increase in the Drude peak width under applied uniaxial strain. We argue that the underlying mechanism of this increase can be based on…

Disordered Systems and Neural Networks · Physics 2019-06-20 V. O. Shubnyi , Y. V. Skrypnyk , S. G. Sharapov , V. M. Loktev

The task of deducing three-dimensional molecular configurations from their two-dimensional graph representations holds paramount importance in the fields of computational chemistry and pharmaceutical development. The rapid advancement of…

Biomolecules · Quantitative Biology 2025-01-09 Bobin Yang , Jie Deng , Zhenghan Chen , Ruoxue Wu

In this letter, we study the stability of the domain model for lithium intercalated graphite in stages III and II by means of Density Functional Theory and Kinetic Lattice Monte Carlo simulations. We find that the domain model is either…

The interband and intraband conductivities of doped graphene were theoretically investigated beyond the linear response. The new dependences of induced currents on frequency and amplitude of external electric field, the graphene temperature…

Mesoscale and Nanoscale Physics · Physics 2013-08-19 B. M. Ruvinskii , M. A. Ruvinskii

Starting from the working hypothesis that both physics and the corresponding mathematics have to be described by means of discrete concepts on the Planck-scale, one of the many problems one has to face in this enterprise is to find the…

High Energy Physics - Theory · Physics 2010-05-12 Thomas Nowotny , Manfred Requardt

Analysis of big data has become an increasingly relevant area of research, with data often represented on discrete networks both constructed and organic. While for structured domains, there exist intuitive definitions of signals and…

Numerical Analysis · Mathematics 2018-04-06 John C. Urschel , Wenfang Xu , Ludmil T. Zikatanov

To construct Lagrangian based on plate theory and tight-binding model, deflection-field coupling to Dirac fermions in graphene can be investigated. As have been known, deflection-induced strain may cause an effect on the motion of the…

Mesoscale and Nanoscale Physics · Physics 2014-09-18 Bumned Soodchomshom