Results 91 to 100 of about 5,165 (285)

Electrolyte Additive Strategies in Aqueous Zn‐Ion Batteries: Recent Advances and Prospects

Advanced Science, EarlyView.
This article provides a comprehensive overview of the current status and future development directions of AZIBs electrolyte additives in three aspects: stabilizing zinc anodes (uniform deposition, inhibition of dendritic crystals), protecting cathodes (structural stability, inhibition of dissolution), and enhancing electrolyte stability (wider ...
Yuanze Yu, Hongmin Liu, Long Fan, Huakun Liu, Shixue Dou, Guoxiu Wang, Nana Wang, Zhongchao Bai   +7 more
wiley   +1 more source

Power analysis dataset for QCA based multiplexer circuits

Data in Brief, 2017
Power consumption in irreversible QCA logic circuits is a vital and a major issue; however in the practical cases, this focus is mostly omitted.The complete power depletion dataset of different QCA multiplexers have been worked out in this paper. At −271.
Md. Abdullah-Al-Shafi, Ali Newaz Bahar, Peer Zahoor Ahmad, Firdous Ahmad, Mohammad Maksudur Rahman Bhuiyan, Kawsar Ahmed   +5 more
doaj   +1 more source

Heterointerface‑Enabled Electrocatalysis for Efficient Energy Conversion

Advanced Science, EarlyView.
Functionally distinct A/B materials can be integrated at the nanoscale to create customized heterointerfaces with tunable band alignment and charge redistribution, providing fast electron and ion transport channels as well as cooperative dual active sites.
Liuru Fang, Hsiwen Wu, Hengyue Xu, Jie Zhang   +3 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

ToPoliNano: Nano-magnet Logic Circuits Design and Simulation [PDF]

, 2013
Among the emerging technologies Field-Coupled devices like Quantum dot Cellular Automata are particularly interesting. Of all the practical implementations of this principle NanoMagnet Logic shows many important features, such as a very low power ...
Frache, Stefano, Graziano, Mariagrazia, Vacca, Marco, Zamboni, Maurizio   +3 more
core  

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

A Tuneable Few Electron Triple Quantum Dot

, 2009
In this paper we report on a tuneable few electron lateral triple quantum dot design. The quantum dot potentials are arranged in series. The device is aimed at studies of triple quantum dot properties where knowing the exact number of electrons is ...
Gaudreau, L., Granger, G., Kam, A., Sachrajda, A. S., Studenikin, S. A., Zawadzki, P.   +5 more
core   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

A review on regular clocking scheme in quantum dot cellular automata

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Quantum-dot cellular automata (QCA) is a novel and emerging nanotechnology that explores the potential of using quantum dots as information carriers in computing devices.
Mrinal Goswami, Tonmoy Jyoti Sharma, Arpita Nath Boruah   +2 more
doaj   +1 more source

Design of a Galois Field Multiplier Circuit using Quantum-dot Cellular Automata

Наука. Инновации. Технологии, 2022
The Quantum-dot Cellular Automata (QCA) is a possible future of nano-electronics computing technology, that promises small size, low power, and fast digital circuits compared to the existing transistor-based designs.
Maryam Jahantigh Akbarzadeh, Amir Sabbagh Molahosseini   +1 more
doaj