Results 51 to 60 of about 71,025 (313)
IEEE Photonics Journal, 2023 Measurement-device-independent quantum key distribution (MDI-QKD) can remove all detector side-channel attacks. However, there are still some assumptions on source preparations in MDI-QKD protocols, which are too strict to achieve in real-life ...
Wen-Lin Wang +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
A Remote Security Computational Ghost Imaging Method Based on Quantum Key Distribution Technology
IEEE Access, 2022 Computational ghost imaging (CGI) is a method of acquiring object information by measuring light field intensity, which would be used to achieve imaging in a complicated environment.
Jianan Wu +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Extracting More Quantum Randomness With Non-Uniform Quantization
IEEE Photonics Journal, 2022 Random numbers generated via quantum process is indeterministic, which are of essential to the cryptographic communication and the large-scale computer modeling.
Bai-Xiang Ji, Jian Li, Qin Wang
doaj +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay +3 more
wiley +1 more source
Research Progress and Key Technologies of Quantum Network Systems
中国工程科学, 2023 The rapid development of quantum information has brought new opportunities and challenges to modern information technologies. As one of the popular research directions in the field of quantum information, quantum networks aim to utilize the fundamental ...
Li Jing, Gao Fei +1 more
doaj +1 more source
Advanced Functional Materials, EarlyView.In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund +6 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This work presents an overview of the PTC‐VMD system for water‐hydrogen co‐generation. a) Illustration of the hydrogel‐based PTC membrane and the co‐generation of water and hydrogen. b) Structure of the PTC‐VMD system and the functions of each component layer.
Jiawei Sun +7 more
wiley +1 more source