Results 71 to 80 of about 50,556 (278)

Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks

Energy Science &Engineering, EarlyView.
This study investigates an optimal control strategy for a photovoltaic (PV) water pumping system aimed at improving efficiency and autonomy in off‐grid applications. The system uses an induction motor with direct torque control and compares three maximum power point tracking (MPPT) techniques: neural network–based MPPT, Incremental Conductance (IC ...
Sihem Ghoudelbourk, Habib Benbouhenni, Z. M. S. Elbarbary, Mohamed Benidir   +3 more
wiley   +1 more source

An InGaAs/InP DHBT With Simultaneous $\text{f}_{\boldsymbol \tau }/\text{f}_{\text {max}}~404/901$ GHz and 4.3 V Breakdown Voltage

IEEE Journal of the Electron Devices Society, 2015
We report an InP/InGaAs/InP double heterojunction bipolar transistor fabricated in a triple-mesa structure, exhibiting simultaneous 404 GHz fτ and 901 GHz fmax.
Johann C. Rode, Han-Wei Chiang, Prateek Choudhary, Vibhor Jain, Brian J. Thibeault, William J. Mitchell, Mark J. W. Rodwell, Miguel Urteaga, Dmitri Loubychev, Andrew Snyder, Ying Wu, Joel M. Fastenau, Amy W. K. Liu   +12 more
doaj   +1 more source

Optoelectronic synapses based on two‐dimensional transition metal dichalcogenides for neuromorphic applications

InfoScience, EarlyView.
This review first introduces the fundamental concepts of artificial synapses and synaptic plasticity, then discusses the device structures and operation mechanisms of optoelectronic synapses based on two‐dimensional transition metal dichalcogenides, highlights their applications in neuromorphic vision systems and computing, and concludes with key ...
Xiaona Sun, Yifan Hu, Chengbao Jiang, Shengxue Yang   +3 more
wiley   +1 more source

Lead‐free inorganic halide perovskite‐based synaptic memory for next generation neuromorphic computing

InfoMat, EarlyView.
Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda, Deepak Kumar, Iman Biswas, Manisha Sharma, Youngmin Lee, Sejoon Lee, Sanjeev Kumar Sharma, Aniruddha Mondal   +7 more
wiley   +1 more source

Artificial sensory and motor nervous systems enabled by bioinspired nanowire heterostructure synapse

InfoMat, EarlyView.
A p‐i‐n heterostructured junction synaptic transistor was fabricated, composed of poly(3‐hexylthiophene‐2,5‐diyl) nanowire thin‐film/poly(methyl methacrylate)/ZnO nanowires (PZJ STs), which can emulate biological sensory and motor nervous systems.
Lu Yang, Shuo Zhang, Yue Li, Hong Han, Qingwen Cheng, Zhipeng Xu, Ning Wu, Wentao Xu   +7 more
wiley   +1 more source

Comparison on Module Performance and Degradation Robustness of Two‐, Three‐, and Four‐Terminal Perovskite Silicon Configurations Under Realistic Operating Conditions

Progress in Photovoltaics: Research and Applications, EarlyView.
We compare the module performance of two‐terminal, three‐terminal, and four‐terminal perovskite/silicon modules in terms mismatch, thermalization, and interconnection losses. For each configuration, the bandgap energy of the perovskite layer is optimized for different locations.
Youri Blom, Wenang Suprayogi, Malte Ruben Vogt, Olindo Isabella, Rudi Santbergen   +4 more
wiley   +1 more source

MXene‐Based Flexible Memory and Neuromorphic Devices

Small, EarlyView.
The unique two‐dimensional structure, excellent electrical conductivity, and diverse surface groups of MXenes have garnered significant attention. Coupled with their exceptional flexibility, MXene‐based devices hold immense potential for flexible memory and neuromorphic systems. This review comprehensively discusses the fundamentals of flexible devices,
Yan Li, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Yan Yan, Shuangmei Xue, Kui Zhou, Meng Zhang, Yutong Zhang, Qi‐Jun Sun, Yi Liu, Vellaisamy A. L. Roy, Ye Zhou, Su‐Ting Han   +13 more
wiley   +1 more source

Memristors Based on Ferroelectric Cu‐Deficient Copper Indium Thiophosphate for Multilevel Storage and Neuromorphic Computing

Small, EarlyView.
Different from CIPS with threshold switching behaviors, Cu‐deficient CIPS* shows stable non‐volatile digital and analog RS. Owing to the formation of metallic IPS at the LRS, CIPS* memristors demonstrate high ON/OFF ratio and endurance stability, which can be utilized to implement multilevel storage.
Mengdie Li, Yanyan He, Chengyang Wang, Weng Fu Io, Feng Guo, Wenjing Jie, Jianhua Hao   +6 more
wiley   +1 more source

100 MHz current generator with T/(T − t) time waveform in 0.35 μm BiCMOS technology

Electronics Letters, 2016
A 0.35 μm BiCMOS current generator suitable for optical quantum random number generators is presented. The time dependence of the current pulses is of the form T/(T − t).
N. Tadić, B. Goll, H. Zimmermann
doaj   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source