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Related papers: Microscale optoelectronic synapses with switchable…

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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…

Metal halide perovskite-based materials have emerged over the past few decades as remarkable solution-processable opto-electronic materials with many intriguing properties and potential applications. These emerging materials have recently…

Applied Physics · Physics 2023-03-07 Gaurav Vats , Brett Hodges , Andrew J. Ferguson , Lance Wheeler , Jeffrey L. Blackburn

Neuromorphic chip refers to an unconventional computing architecture that is modelled on biological brains. It is ideally suited for processing sensory data for intelligence computing, decision-making or context cognition. Despite rapid…

Emerging Technologies · Computer Science 2016-09-09 Shuchao Qin , Fengqiu Wang , Yujie Liu , Qing Wan , Xinran Wang , Yongbing Xu , Yi Shi , Xiaomu Wang , Rong Zhang

Light emission and detection are the two fundamental attributes of optoelectronic communication systems. Until now, both functions have been demonstrated using the p-n diode which is exploited across a wide range of applications. However,…

Halide perovskites have attracted increasing research attention regarding their outstanding optoelectronic applications. Owing to its low activation energy, ion migration is implicated in the long-term stability and many unusual transport…

Applied Physics · Physics 2020-12-02 Qiao Kong , Amael Obliger , Minliang Lai , Mengyu Gao , David T. Limmer , Peidong Yang

Highly efficient information processing in brain is based on processing and memory components called synapses, whose output is dependent on the history of the signals passed through them. Here we have developed an artificial synapse with…

Applied Physics · Physics 2021-12-28 Pan Wang , Mazhar E. Nasir , Alexey V. Krasavin , Wayne Dickson , Anatoly V. Zayats

We demonstrate an all solid state semiconductor device, based on epitaxial single crystalline metal halide perovskites, enabling reversible control of a perovskite photoluminescence with a gate voltage. Fundamentally distinct from…

Materials Science · Physics 2026-03-27 Vladimir Bruevich , Dmitry Maslennikov , Beier Hu , Artem A. Bakulin , Vitaly Podzorov

Nonequilibrium processes occurring in functional materials can significantly impact device efficiencies and are often difficult to characterize due to the broad range of length and time scales involved. In particular, mixed halide hybrid…

Using optical orientation to manipulate magnetic moments in matter with light is a key objective in opto-spintronics, however, realizations of such control on ultrafast timescales are limited. Here, we report ultrafast optical control of…

The reversible phase transition between orthorhombic and cubic phases is demonstrated in all-inorganic perovskite CsPbIBr2 grown by a dual-source vapor-deposition method. The phase transition is actuated via heating and moisture exposure.…

Applied Physics · Physics 2018-12-24 Chen Zou , Jiajiu Zheng , Cheng Chang , Arka Majumdar , Lih Y. Lin

Next-generation low-cost semiconductors such as halide perovskites exhibit optoelectronic properties dominated by nanoscale variations in their structure, composition and photophysics. While microscopy provides a proxy for ultimate device…

Halide perovskites have emerged as revolutionary materials for high performance photovoltaics and optoelectronics due to their superior optoelectronic properties. The physical origin for the superior optoelectronic properties of halide…

Applied Physics · Physics 2023-08-04 Xiaoming Wen , Baohua Jia

Hardware neural networks could perform certain computational tasks orders of magnitude more energy-efficiently than conventional computers. Artificial neurons are a key component of these networks and are currently implemented with…

Materials Science · Physics 2024-12-02 Jeroen J. de Boer , Bruno Ehrler

The basic units in our brain are neurons and each neuron has more than 1000 synapse connections. Synapse is the basic structure for information transfer in an ever-changing manner, and short-term plasticity allows synapses to perform…

Materials Science · Physics 2014-03-05 Li Qiang Zhu , Chang Jin Wan , Li Qiang Guo , Yi Shi , Qing Wan

Despite their puzzling vibrational characteristics that include strong signatures of anharmonicity and thermal disorder already around room temperature, halide perovskites exhibit favorable optoelectronic properties for applications in…

Materials Science · Physics 2022-02-08 Christian Gehrmann , Sebastián Caicedo-Dávila , Xiangzhou Zhu , David A. Egger

We report a detailed study of neuromorphic switching behaviour in inherently complex percolating networks of self-assembled metal nanoparticles. We show that variation of the strength and duration of the electric field applied to this…

Disordered Systems and Neural Networks · Physics 2019-03-06 S. K. Bose , S. Shirai , J. B. Mallinson , S. A. Brown

The continuous effort in making artificial neural networks more alike to human brain calls for the hardware elements to implement biological synapse-like functionalities. The recent experimental demonstration of ferroelectric-like FETs…

Ionic migration in organo-halide perovskites plays an important role in operation of perovskite based solar cells and light emitting diodes. Despite the ionic migration being a reversible process, it often leads to worsening of perovskite…

Metal halide perovskites exhibit coupled electronic and ionic properties that determine their photovoltaic performance and operational stability. Understanding and quantifying ionic transport are therefore essential for advancing perovskite…

With the rapid evolution of lead halide perovskite solar cells, there are considerable evidences that the mobile ions strongly impact their properties. However, except the activation energy, the other properties of ionic migration are…

Materials Science · Physics 2018-06-21 Ningbo Yi , Gang Li , Yuhan Wang , Shuai Wang , Kaiyang Wang , Qinghai Song , Shumin Xiao
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