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

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Active control and manipulation of electromagnetic waves are highly desirable for advanced photonic device technology, such as optical cloaking, active camouflage and information processing. Designing optical resonators with high…

Optics · Physics 2022-02-01 Haiyu Meng , Lingling Wang , Ziran Liu , Jianghua Chen , Ching Hua Lee , Yee Sin Ang

Excitable optoelectronic devices represent one of the key building blocks for implementation of artificial spiking neurons in neuromorphic (brain-inspired) photonic systems. This work introduces and experimentally investigates an…

Neuromorphic architectures offer great promise for achieving computation capacities beyond conventional Von Neumann machines. The essential elements for achieving this vision are highly scalable synaptic mimics that do not undermine…

Emerging Technologies · Computer Science 2015-07-09 Radu Berdan , Eleni Vasilaki , Ali Khiat , Giacomo Indiveri , Alexandru Serb , Themistoklis Prodromakis

Optomechanical systems offer one of the most sensitive methods for detecting mechanical motion using shifts in the optical resonance frequency of the optomechanical resonator . Presently, these systems are used for measuring mechanical…

Optics · Physics 2011-05-13 Suresh Sridaran , Sunil A. Bhave

Two dimensional materials and their heterostructures constitute a promising platform to study correlated electronic states as well as many body physics of excitons. Here, we present experiments that unite these hitherto separate efforts and…

Mesoscale and Nanoscale Physics · Physics 2020-05-12 Yuya Shimazaki , Ido Schwartz , Kenji Watanabe , Takashi Taniguchi , Martin Kroner , Ataç Imamoğlu

Diffusive memristors owing to their ability to produce current spiking when a constant or slowly changing voltage is applied are competitive candidates for the development of artificial electronic neurons. These artificial neurons can be…

Optical parametric oscillation (OPO) is distinguished by its wavelength access, that is, the ability to flexibly generate coherent light at wavelengths that are dramatically different from the pump laser, and in principle bounded solely by…

Acousto-optic modulation in piezoelectric materials offers the efficient method to bridge electrical and optical signals. It is widely used to control optical frequencies and intensities in modern optical systems including Q-switch lasers,…

Optics · Physics 2023-06-05 Liang Zhang , Chaohan Cui , Pao-Kang Chen , Linran Fan

VO2 is well known for its dual phase transitions; electrical as well as structural, at a single temperature of 340K. The low temperature structural phases of VO2 are different from its high temperature counterpart by means of structural…

Materials Science · Physics 2021-09-16 Raktima Basu , G. Mangamma , Sandip Dhara

Future brain-machine interfaces, prosthetics, and intelligent soft robotics will require integrating artificial neuromorphic devices with biological systems. Due to their poor biocompatibility, circuit complexity, low energy efficiency, and…

Exceptional point degeneracies (EPD) of linear non-Hermitian systems have been recently utilized for hypersensitive sensing. This proposal exploits the sublinear response that the degenerate frequencies experience once the system is…

Electro-optic modulators are indispensable components of modern day photonic integrated circuits (PICs). Recently lithium niobate has emerged as a key material to realize large-bandwidth high-speed modulation, but next-generation modulators…

Optics · Physics 2025-06-23 Hong-Lin Lin , Pragati Aashna , Yu Cao , Aaron Danner

Recently integrated optics has become an intriguing platform for implementing machine learning algorithms and inparticular neural networks. Integrated photonic circuits can straightforwardly perform vector-matrix multiplicationswith high…

Integrated optical devices that can realize a threshold filtration of signals are in demand in photonics. In particular, they play a key role in neuromorphic chips, acting as optical neurons. A list of requirements exist for thresholders to…

Spiking artificial neurons emulate the voltage spikes of biological neurons, and constitute the building blocks of a new class of energy efficient, neuromorphic computing systems. Antiferromagnetic materials can, in theory, be used to…

Mesoscale and Nanoscale Physics · Physics 2022-08-19 Hannah Bradley , Steven Louis , Cody Trevillian , Lily Quach , Elena Bankowski , Andrei Slavin , Vasyl Tyberkevych

Manipulating electronic interlayer coupling in layered van der Waals (vdW) materials is essential for designing opto-electronic devices. Here, we control vibrational and electronic interlayer coupling in bi- and trilayer 2H-MoS$_2$ using…

Active metasurfaces promise reconfigurable optics with drastically improved compactness, ruggedness, manufacturability, and functionality compared to their traditional bulk counterparts. Optical phase change materials (O-PCMs) offer an…

The transition to smart wearable and flexible optoelectronic devices communicating with each other and performing neuromorphic computing at the edge is a big goal in next-generation optoelectronics. These devices should perform their…

Reversible bipolar nano-switches that can be set and read electronically in a solid-state two-terminal device are very promising for applications. We have performed molecular-dynamics simulations that mimic systems with oxygen vacancies…

Mesoscale and Nanoscale Physics · Physics 2015-05-20 S. E. Savel'ev , A. S. Alexandrov , A. M. Bratkovsky , R. Stanley Williams

Future brain-computer interfaces will require local and highly individualized signal processing of fully integrated electronic circuits within the nervous system and other living tissue. New devices will need to be developed that can…

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