Results 71 to 80 of about 403 (210)

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  

Enabling Quantum‐Compatible Nonvolatile Memory: Cryogenic Evaluation of 1T1R HfO2‐Based RRAM From 300 to 1.5 K

Advanced Electronic Materials, EarlyView.
Resistive memory devices are explored for operation at extremely low temperatures relevant to quantum computing. The study reveals how transistor behavior strongly influences memory performance under cryogenic conditions and introduces an optimized programming strategy.
Emilio Pérez‐Bosch Quesada, Alberto Mistroni, Ruolan Jia, Keerthi Dorai Swamy Reddy, Markus Fritscher, Felix Reichmann, Oliver Skibitzki, Juan Bautista Roldán, Helena Castán, Salvador Dueñas, Christian Wenger, Eduardo Pérez   +11 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

Fundamental 1:2 demultiplexer design in quantum-dot cellular automata nanotechnology

e-Prime: Advances in Electrical Engineering, Electronics and Energy
There are many issues with complementary metal oxide semiconductor (CMOS) technology in the ultra-nanoscale regime. A quantum-dot cellular automaton (QCA) is a promising innovation for crafting logic circuits in nanoscale dimensions.
Nandan Vaid, Vijay Kumar Sharma, Prashant Kumar   +2 more
doaj   +1 more source

Design of reversible logic circuits using quantum dot cellular automata-based system

Nanotechnology Reviews, 2015
Shrinking transistor sizes and power dissipation are the major barriers in the development of future computational circuits. At least when the transistor size approaches the atomic scale, duplication of transistor density according to Moore’s law will ...
Purkayastha Tamoghna, Chattopadhyay Tanay, De Debashis   +2 more
doaj   +1 more source

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

An energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata. [PDF]

Heliyon, 2022
Das R, Shah Alam M, Ahmmed KT.
europepmc   +1 more source

Maximum Stability Point Tracking Stabilizes Wide‐Bandgap Mixed‐Halide Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
A maximum stability point tracking (MSPT) strategy suppresses charge trapping‐induced halide segregation, enabling wide‐bandgap perovskite solar cells to achieve significantly enhanced operational stability compared to conventional maximum power point tracking (MPPT).
Seongheon Kim, Geon Kim, Taeeon Kim, Kwang Seop Shin, Jongchan Kim, Mansoo Choi, Yun Seog Lee, Namyoung Ahn   +7 more
wiley   +1 more source

Novel High-Efficiency Nanocomposite Gate Design of Quantum-Dot Cellular Automata Based on Deep Learning. [PDF]

Comput Intell Neurosci, 2022
Zhu Y, Ren S, Li X.
europepmc   +1 more source