Results 91 to 100 of about 2,194 (292)

Efficient Nano-Scale Design of TIEO Based Reversible Logic Toffoli Gate Priority Encoder in Quantum-Dot Cellular Automata [PDF]

E3S Web of Conferences
The goal of this research is to create a QCA-based reversible priority encoder. It is one of the most crucial parts of the encoding and decoding process.
Kalpana K., Sivakami K., Revathi N., Deepa S.M., Teresa V.V.   +4 more
doaj   +1 more source

Cellular Automata Rules for Quantum-Dot Cellular Automata

, 2001
Some new device architectures have been proposed that are based on the idea of devices that operate like cellular automata. Operation of cellular automata is based on local interactions; devices based on this paradigm would have much simpler interconnect
Cole, Teresa
core  

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

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

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

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

Toward quantum-dot cellular automata units: thiolated-carbazole linked bisferrocenes

, 2012
Quantum-dot Cellular Automata (QCA) exploit quantum confinement, tunneling and electrostatic interaction for transistorless digital computing. Implementation at the molecular scale requires carefully tailored units which must obey several structural and ...
RINALDI, Rosaria, Francesco Paolucci, Alessandro Paolo Bramanti, KUMAR, SUSMIT, Valentina Arima, Matteo Iurlo, Francesca Matino, Giuseppe Maruccio, Pier Giorgio Cozzi, Fabio Della Sala, MARUCCIO, Giuseppe, Massimo Marcaccio, Manuel Piacenza, Susmit Kumar, Luca Zoli, Ross Rinaldi   +15 more
core   +2 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +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  

The thermal effect and clocking in quantum-dot cellular automata

, 2004
We present a theoretical study of quasi-adiabatic clocking and thermal effect in Quantum-dot Cellular Automata (QCA). Quasi-adiabatic clocking is the modulation of an inter-dot potential barrier in order to keep the QCA cells near the ground state ...
Kanuchok, Jonathan L.
core