Results 81 to 90 of about 432 (251)
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 +2 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Fundamental 1:2 demultiplexer design in quantum-dot cellular automata nanotechnology
e-Prime: Advances in Electrical Engineering, Electronics and EnergyThere 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 +2 more
doaj +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
Flexible Memory: Progress, Challenges, and Opportunities
Advanced Intelligent Discovery, EarlyView.Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 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
Probabilistic modeling of quantum-dot cellular automata
, 2023 As CMOS scaling faces a technological barrier in the near future, novel design paradigms are being proposed to keep up with the ever growing need for computation power and speed. Most of these novel technologies have device sizes comparable to atomic and molecular scales.
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Non-Restoring Array Divider Using Optimized CAS Cells Based on Quantum-Dot Cellular Automata with Minimized Latency and Power Dissipation for Quantum Computing. [PDF]
Nanomaterials (Basel), 2022 Kim HI, Jeon JC.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source