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In this paper we review recent work on novel computing paradigms using coupled oscillatory dynamical systems. We explore systems of relaxation oscillators based on linear state transitioning devices, which switch between two discrete states…

Emerging Technologies · Computer Science 2016-08-22 Abhinav Parihar , Nikhil Shukla , Matthew Jerry , Suman Datta , Arijit Raychowdhury

A high-resolution investigation of the electron spectra close to the metal-to-insulator transition in dynamic mean-field theory is presented. An all-numerical, consistent confirmation of a smooth transition at zero temperature is provided.…

Strongly Correlated Electrons · Physics 2007-05-23 Michal Karski , Carsten Raas , Götz S. Uhrig

Achieving the full understanding and control of the insulator-to-metal transition in Mott materials is key for the next generation of electronics devices, with applications ranging from ultrafast transistors, volatile and non-volatile…

Strongly Correlated Electrons · Physics 2024-10-02 Alessandra Milloch , Michele Fabrizio , Claudio Giannetti

Key circumstance of radical progress for technology of XXI century is the development of a technique which provides controllable producing three-dimensional patterns incorporating regions of nanometer sizes and required physical and…

We investigate the infinite-dimensional two-orbital Hubbard model at arbitrary band fillings. By means of the self-energy functional approach, we discuss the stability of the metallic state in the systems with same and different bandwidths.…

Strongly Correlated Electrons · Physics 2009-11-13 Kensuke Inaba , Akihisa Koga

Non-equilibrium control of electronic properties in condensed matter systems can result in novel phenomena. In this work, we provide a novel non-equilibrium route to realize half-metallic phases. We explore the periodically driven Hubbard…

Strongly Correlated Electrons · Physics 2025-07-15 Suryashekhar Kusari , Arnab Das , H. R. Krishnamurthy , Arti Garg

Nonlinear phononics play important role in strong laser-solid interactions. We discuss nonlinear dynamical protocols which allow for efficient excitation and control of nonlinear phonons. We consider recent inspiring proposals: inducing…

Other Condensed Matter · Physics 2018-05-16 A. P. Itin , M. I. Katsnelson

Wave-domain processing is an emerging paradigm where signal processing operations are partially shifted from the digital to the electromagnetic (EM) domain. Leveraging reconfigurable EM devices, this approach aims to reduce complexity,…

Signal Processing · Electrical Eng. & Systems 2026-04-27 Davide Dardari

We study low energy collective modes and transport properties of the "helical metal" on the surface of a topological insulator. At low energies, electrical transport and spin dynamics at the surface are exactly related by an operator…

Mesoscale and Nanoscale Physics · Physics 2010-10-19 S. Raghu , Suk Bum Chung , Xiao-Liang Qi , Shou-Cheng Zhang

Metal-insulator transitions in the paramagnetic phase of the two dimensional square lattice Hubbard model are studied using the dynamical cluster approximation with eight momentum cells. We show that both the interaction-driven and the…

Strongly Correlated Electrons · Physics 2009-07-25 Philipp Werner , Emanuel Gull , Olivier Parcollet , Andrew J. Millis

Volatile threshold resistive switching and neuronal oscillations in phase-change materials, specifically those undergoing metal-to-insulator transitions, offer unique attributes such as fast and low-field volatile switching, tunability, and…

Materials Science · Physics 2025-07-08 Huandong Chen , Jayakanth Ravichandran

The experimental realization of strong light-matter coupling with molecules initiated the rapidly evolving field of molecular polaritonics. Most studies focus on how exciton polaritons, which combine electronic excitations with confined…

Chemical Physics · Physics 2025-09-10 Lucas Borges , Thomas Schnappinger , Markus Kowalewski

Topological metamaterials exhibit unusual behaviors at their boundaries, such as unidirectional chiral waves, that are protected by a topological feature of their band structure. The ability to tune such a material through a topological…

Mesoscale and Nanoscale Physics · Physics 2018-04-04 Noah P. Mitchell , Lisa M. Nash , William T. M. Irvine

We present the first-ever multi-scale dynamical simulation of the temperature-controlled Mott metal-insulator transition in the Hubbard model. By integrating advanced electronic structure method and an efficient Gutzwiller/slave-boson…

Strongly Correlated Electrons · Physics 2021-02-19 Gia-Wei Chern

On the basis of optimal control theory, we numerically study how to optimally manipulate molecular vibrational dynamics by using cycle-averaged polarizability interactions induced by mildly intense non-resonant laser (NR) pulses. As the…

Quantum Physics · Physics 2024-09-05 Reon Ishii , Tomotaro Namba , Hiroyuki Katsuki , Kenji Ohmori , Yukiyoshi Ohtsuki

Three-terminal electrochemical ionic synapses (EIoS) have recently attracted interest for in-memory computing applications. These devices utilize electrochemical ion intercalation to modulate the ion concentration in the channel material.…

Mesoscale and Nanoscale Physics · Physics 2025-08-01 Michael L. Li , Dingyu Shen , Jesus A. del Alamo , Martin Z. Bazant

Scattering of electrons by localized spins is the ultimate process enabling electrical detection and control of the magnetic state of a spin-doped material. At the molecular scale, this scattering is mediated by the electronic orbitals…

Nonlinear phononics holds the promise for controlling properties of quantum materials on the ultrashort timescale. Using nonequilibrium dynamical mean-field theory, we solve a model for the description of organic solids, where correlated…

Strongly Correlated Electrons · Physics 2021-01-27 Francesco Grandi , Jiajun Li , Martin Eckstein

Inertial sensors provide crucial feedback for control systems to determine motional status and make timely, automated decisions. Prior efforts tried to control the output of inertial sensors with acoustic signals. However, their approaches…

Cryptography and Security · Computer Science 2018-09-06 Yazhou Tu , Zhiqiang Lin , Insup Lee , Xiali Hei

The primary mechanism of optical memristive devices relies on the phase transitions between amorphous-crystalline states. The slow or energy hungry amorphous-crystalline transitions in optical phase-change materials are detrimental to the…