Results 81 to 90 of about 5,165 (285)
Advanced Science, EarlyView.This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Designing quantum-dot cellular automata circuits using a robust one layer crossover scheme
The Journal of Engineering, 2014 Quantum-dot cellular automata (QCA) is a novel nanotechnology which is considered as a solution to the scaling problems in complementary metal oxide semiconductor technology. In this Letter, a robust one layer crossover scheme is introduced. It uses only
Sara Hashemi, Keivan Navi
doaj +1 more source
, 2017 In nanoelectronic circuit synthesis, the majority gate and the inverter form the basic combinational logic primitives. This paper deduces the mathematical formulae to estimate the logical masking capability of majority gates, which are used extensively ...
Balasubramanian, P, Naayagi, R T
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Study of Free‐Space Optical Quantum Network: Review and Prospectives
Advanced Science, EarlyView.Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley +1 more source
COMPREHENSIVE ANALYSIS OF COST FUNCTION IN QUANTUM-DOT CELLULAR AUTOMATA
Mağallaẗ Al-kūfaẗ Al-handasiyyaẗIn the last five decades, the design of digital systems in nano-scale has attracted the attention of researchers. Quantum-dot Cellular Automata is a new method of binary representation at the nano level.
Esam Alkaldy +3 more
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Efficient Nano-Scale Design of TIEO Based Reversible Logic Toffoli Gate Priority Encoder in Quantum-Dot Cellular Automata [PDF]
E3S Web of ConferencesThe 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. +4 more
doaj +1 more source
Quantum Artificial Life in an IBM Quantum Computer
, 2018 We present the first experimental realization of a quantum artificial life algorithm in a quantum computer. The quantum biomimetic protocol encodes tailored quantum behaviors belonging to living systems, namely, self-replication, mutation, interaction ...
Alvarez-Rodriguez, U. +3 more
core +2 more sources
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
Advanced Science, EarlyView.We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source
Simulation of a molecular QCA wire [PDF]
, 2013 Molecular Quantum Dot Cellular Automata (MQCA) are among the most promising emerging technologies for the expected theoretical operating frequencies (THz), the high device densities and the non-cryogenic working temperature.
Demarchi, Danilo +3 more
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