Disordered Systems and Neural NetworksSuperconductivityA two-dimensional lattice model for d-wave superconductor with chiral symmetry is studied. The field theory at the band center is shown to be in the universality class of U(2n)/O(2n) and U(2n) nonlinear sigma model for the system with ...
Disordered Systems and Neural NetworksStatistical MechanicsThe mechanism of appearance of exponentially large number of metastable states in magnetic phases of disordered Ising magnets with short-range random exchange is suggested. It is based on the assumption that transitions into inhomogeneous magnetic ...
Condensed Matter - Disordered Systems and Neural NetworksTransmission through disordered samples can be controlled by illuminating a sample with waveforms corresponding to the eigenchannels of the transmission matrix (TM). But can the TM be exploited to selectively excite quasi-normal modes and so ...
关键词: Condensed Matter - Disordered Systems and Neural Networks DOI: 10.1016/S1049-250X(08)00012-8 被引量: 112 年份: 2008 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 Elsevier (全网免费下载) Elsevier Semantic Scholar (全网免费下载) arXiv.org arXiv.org (全网免费下载) 查看...
Our work opens the door to exploring dynamical phases ofmatter and controlling interacting, disordered many-body systems. 展开 关键词: Quantum Physics Condensed Matter - Disordered Systems and Neural Networks Condensed Matter - Mesoscale and Nanoscale Physics Condensed Matter - Strongly Correlated ...
Quantum PhysicsCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter - Strongly Correlated ElectronsClassical correlations of ground states typically decay exponentially and polynomially, respectively for gapped and gapless short-ranged quantum spin systems. In such systems, entanglement ...
Condensed Matter - Disordered Systems and Neural NetworksWe present a detailed numerical and theoretical analysis of the recently discovered phenomenon of coherent forward scattering. This effect manifests itself as a macroscopic interference peak in the forward direction of the momentum distribution of a...
Predicting the properties of a material from the arrangement of its atoms is a fundamental goal in materials science. While machine learning has emerged in recent years as a new paradigm to provide rapid predictions of materials properties, their practic
Universality Classes and Fluctuations in Disordered Systems Renormalization group calculations, using mainly the "replica trick", treating the critical behavior of quenched magnetic alloys, are reviewed. In particul... JB Pendry,A Mackinnon,PJ Roberts - 《Proceedings of the Royal Society A Mathematical...
The collective brain is critical Condensed Matter - Disordered Systems and Neural NetworksPhysics - Biological PhysicsThe unique dynamical features of the critical state endow the brain with ... E Tagliazucchi,DR Chialvo - 《Quantitative Biology》 被引量: 12发表: 2011年 加载更多来源...