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Related papers: Large electro-opto-mechanical coupling in VO2 neur…

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Coupled structural and electronic phase transitions underlie the multifunctional properties of strongly-correlated materials. For example, colossal magnetoresistance1,2 in manganites involves phase transition from paramagnetic insulator to…

Strongly Correlated Electrons · Physics 2010-03-23 Joyeeta Nag , Richard Haglund , Andrew Payzant , Karren More

Negative differential resistance (NDR) behavior observed in several transition metal oxides is crucial for developing next-generation memory devices and neuromorphic computing systems. NbO2-based memristors exhibit two regions of NDR at…

Mesoscale and Nanoscale Physics · Physics 2024-11-12 Nitin Kumar , Jong E. Han , Karsten Beckmann , Nathaniel Cady , G. Sambandamurthy

Nitrogen vacancy (NV) centers, optically-active atomic defects in diamond, have attracted tremendous interest for quantum sensing, network, and computing applications due to their excellent quantum coherence and remarkable versatility in a…

Mesoscale and Nanoscale Physics · Physics 2021-04-06 Nathan J. McLaughlin , Yoav Kalcheim , Albert Suceava , Hailong Wang , Ivan K. Schuller , Chunhui Rita Du

Traditional electronic devices are well-known to improve in speed and energy-efficiency as their dimensions are reduced to the nanoscale. However, this scaling behavior remains unclear for nonlinear dynamical circuit elements, such as Mott…

Memristive circuit elements constitute a cornerstone for novel electronic applications, such as neuromorphic computing, called to revolutionize information technologies. By definition, memristors are sensitive to the history of electrical…

We introduce a novel electro-optomechanic neural sensor for realizing ultra-compact neural recording probes that can detect and relay electrophysiology signals from within neural tissue. This technology addresses outstanding challenges…

This paper presents a new method for evaluating the synchronization of quasi-periodic oscillations of two oscillators, termed "chimeric synchronization". The family of metrics is proposed to create a neural network information converter…

Adaptation and Self-Organizing Systems · Physics 2019-08-20 Andrei Velichko

In the pursuit of scalable and energy-efficient neuromorphic devices, recent research has unveiled a novel category of spiking oscillators, termed "thermal neuristors." These devices function via thermal interactions among neighboring…

Disordered Systems and Neural Networks · Physics 2024-07-12 Yuan-Hang Zhang , Chesson Sipling , Erbin Qiu , Ivan K. Schuller , Massimiliano Di Ventra

Dynamics of coupled spin-torque oscillators can be exploited for non-Boolean information processing. However, the feasibility of coupling large number of STOs with energy-efficiency and sufficient robustness towards parameter-variation and…

Disordered Systems and Neural Networks · Physics 2013-09-16 Mrigank Sharad , Deliang Fan , Karthik Yogendra , Kaushik Roy

Evanescent coupling between a silica optical microbottle resonator and a GaAs electromechanical resonator is demonstrated. This coupling provides high optical sensitivity and efficient piezoelectric controllability of mechanical motion.…

Mesoscale and Nanoscale Physics · Physics 2018-05-17 Motoki Asano , Ryuichi Ohta , Takashi Yamamoto , Hajime Okamoto , Hiroshi Yamaguchi

The operation of a novel nonvolatile memory device based on a conductive ferroelectric/non-ferroelectric thin film multilayer stack is simulated numerically. The simulation involves the self-consistent steady state solution of Poisson's…

Materials Science · Physics 2007-05-23 Rene Meyer , Hermann Kohlstedt

Tuning the properties of materials using external stimuli is crucial for developing versatile smart materials. A strong coupling among order parameters within a single-phase material constitutes a potent foundation for achieving precise…

Materials Science · Physics 2024-02-27 Zhaojun Li , Lorenzo Varrassi , Yali Yang , Cesare Franchini , Laurent Bellaiche , Jiangang He

The ultrafast photoinduced insulator-metal transition in VO2 is studied at different temperatures and excitation fluences using multi-THz probe pulses. The spectrally resolved mid-infrared response allows us to trace separately the dynamics…

Strongly Correlated Electrons · Physics 2015-03-19 A. Pashkin , C. Kübler , H. Ehrke , R. Lopez , A. Halabica , R. F. Haglund, , R. Huber , A. Leitenstorfer

While the complementary metal-oxide semiconductor (CMOS) technology is the mainstream for the hardware implementation of neural networks, we explore an alternative route based on a new class of spiking oscillators we call thermal…

Emerging Technologies · Computer Science 2023-10-09 Erbin Qiu , Yuan-Hang Zhang , Massimiliano Di Ventra , Ivan K. Schuller

Non-volatile resistive switching is demonstrated in memristors with nanocrystalline molybdenum disulfide (MoS$_2$) as the active material. The vertical heterostructures consist of silicon, vertically aligned MoS$_2$ and chrome / gold metal…

Optical parametric oscillators (OPOs) have been studied as basic components for optical computing with phase encoding and Ising machines. Integrated photonics offers a scalable solution to incorporate a progressively larger number of…

Optics · Physics 2025-05-16 Jost Kellner , Alessandra Sabatti , Andreas Meader , Rachel Grange

Cavity optomechanics explores the coupling between the optical field and the mechanical oscillation to induce cooling and regenerative oscillation in a mechanical oscillator. So far, optomechanics relies on the detuning between the cavity…

We demonstrate an innovative multifunctional artificial material that combines exotic metamaterial properties and the environmentally responsive nature of phase change media. The tunable metamaterial is designed with the aid of two…

Electro-optics, the tuning of optical properties of materials with electric fields, is key to a multitude of quantum and classical photonics applications. However, a major obstacle preventing many emerging use cases is inefficient…

The persistent and switchable polarization of ferroelectric materials based on HfO$_2$-based ferroelectric compounds, compatible with large-scale integration, are attractive synaptic elements for neuromorphic computing. To achieve a record…

Hardware Architecture · Computer Science 2023-09-22 Laura Bégon-Lours , Mattia Halter , Youri Popoff , Zhenming Yu , Donato Francesco Falcone , Bert Jan Offrein