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Related papers: PZT Optical Memristors

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In the last decade, a 2-terminal passive circuit element called a memristor has been developed for non-volatile resistive random access memory and has more recently shown promise for neuromorphic computing. Compared to flash memory,…

The advent of advanced neuronal interfaces offers great promise for linking brain functions to electronics. A major bottleneck in achieving this is real-time processing of big data that imposes excessive requirements on bandwidth, energy…

Emerging Technologies · Computer Science 2015-07-27 Isha Gupta , Alexantrou Serb , Ali Khiat , Ralf Zeitler , Stefano Vassanelli , Themistoklis Prodromakis

Neuromorphic computing promises to transform the current paradigm of traditional computing towards Non-Von Neumann dynamic energy-efficient problem solving. Thus, dynamic memory devices capable of simultaneously performing nonlinear…

The von-Neumann bottleneck has constrained computing systems from efficiently operating on the increasingly large demand in data from networks and devices. Silicon (Si) photonics offers a powerful solution for this issue by providing a…

Silicon photonics has evolved from lab research to commercial products in the past decade as it plays an increasingly crucial role in data communication for next-generation data centers and high performance computing1. Recently,…

In order to develop an electro-optic waveguide, Pb(Zr, Ti)O3 ceramic ferroelectric thin films were elaborated by a modified sol-gel process on glass substrate. In the aim to study the optical properties of the PZT films, an accurate…

Materials Science · Physics 2014-05-26 Julien Cardin , Dominique Leduc , Thomas Schneider , Cyril Lupi , Dominique Averty , Hartmut Gundel

Memristor is a promising building block for the next generation nonvolatile random access memory and bio-inspired computing systems. Organizing memristors into high density crossbar arrays, although challenging, is critical to meet the…

Mesoscale and Nanoscale Physics · Physics 2018-11-16 Shuang Pi , Can Li , Hao Jiang , Weiwei Xia , Huolin Xin , J. Joshua Yang , Qiangfei Xia

Memory devices operating due to the fast proton transfer (PT) process are proposed by means of the first-principles calculations. Writing an information is performed using the electrostatic potential of the scanning tunneling microscopy…

Mesoscale and Nanoscale Physics · Physics 2015-11-26 Malgorzata Wierzbowska

In this work, an optimized method was implemented for attaining stable multibit operation with low energy consumption in a two-terminal memory element made from the following layers: Ag/Pt nanoparticles (NPs)/SiO2/TiN in a…

Hardware Architecture · Computer Science 2024-06-21 G. Kleitsiotis , P. Bousoulas , S. D. Mantas , C. Tsioustas , I. A. Fyrigos , G. Sirakoulis , D. Tsoukalas

Progress in high-performance computing demands significant advances in memory technology. Among novel memory technologies that promise efficient device operation on a sub-ns timescale, resistance switching between charge ordered phases of…

Memristors provide a tempting solution for weighted synapse connections in neuromorphic computing due to their size and non-volatile nature. However, memristors are unreliable in the commonly used voltage-pulse-based programming approaches…

Neural and Evolutionary Computing · Computer Science 2023-09-08 Hritom Das , Rocco D. Febbo , SNB Tushar , Nishith N. Chakraborty , Maximilian Liehr , Nathaniel Cady , Garrett S. Rose

Biological neurons are electro-mechanical systems, where the generation and propagation of an action potential is coupled to generation and transmission of an acoustic wave. Neuristors, such as VO2, characterized by insulator-metal…

Memristors are considered key building blocks for the development of neuromorphic computing hardware. For ferroelectric memristors with a capacitor-like structure, the polarization direction modulates the height of the Schottky barriers --…

Applied Physics · Physics 2024-05-20 C. Ferreyra , M. Badillo , M. J. Sánchez , M. Acuautla , B. Noheda , D. Rubi

Optomechanical sensors enable exquisitely sensitive force measurements, with emerging applications across quantum technologies, standards, fundamental science, and engineering. Magnetometry is among the most promising applications, where…

Silicon nitride (SiN) is emerging as a competitive platform for CMOS-compatible integrated photonics. However, active devices such as modulators are scarce and still lack in performance. Ideally, such a modulator should have a high…

We show that ideal memristors - devices whose resistance is proportional to the charge that flows through them - can be realized using spin torque-driven viscous magnetization dynamics. The latter can be accomplished in the spin liquid…

Applied Physics · Physics 2020-06-16 Guanxiong Chen , Sergei Ivanov , Sergei Urazhdin

We demonstrate, for the first time, sputtered PZT as a platform for the development of Si-based photonic devices such as rings, MZI, and electro-optic modulators. We report the optimization of PZT on MgO(002) substrate to obtain highly…

Optics · Physics 2023-05-31 Suraj , Shankar Kumar Selvaraja

Renewed interest has been witnessed in utilizing the piezoelectric response of $PbZr_{0.52}Ti_{0.48}O_{3}$ (PZT) films on glass substrates for applications such as data storage and adaptive optics. Accordingly, new methodologies are being…

Modern advanced photonic integrated circuits require dense integration of high-speed electro-optic functional elements on a compact chip that consumes only moderate power. Energy efficiency, operation speed, and device dimension are thus…

Applied Physics · Physics 2020-09-09 Mingxiao Li , Jingwei Ling , Yang He , Usman A. Javid , Shixin Xue , Qiang Lin

Ferroelectric memristors have attracted much attention as a type of nonvolatile resistance switching memories in neuromorphic computing, image recognition, and information storage. Their resistance switching mechanisms have been studied…