Results 61 to 70 of about 4,554,873 (311)

Dynamic Decoration of DNA Scaffolds for High‐Resolution Cancer Cell Subtyping

Advanced Science, EarlyView.
This study presents a dual‐mode imaging platform that utilizes self‐assembly and disassembly of DNA scaffolds for high‐resolution cancer cell detection. The structural rigidity of DNA scaffolds effectively prevents cellular internalization for over 300 min.
Xiaolin Hu, Jie Xie, Xinlin Guo, Liangting Wang, Zhengheng Yu, Xiaopei Qiu, Heng Li, Kang Wang, Xiaoxing Wang, Mingxuan Song, Junsong Guo, Wei Gu, Sergio Bernardini, Chaoyong Yang, Hong Zhang, Yang Luo   +15 more
wiley   +1 more source

Tunable stochastic memristors for energy-efficient encryption and computing

Nature Communications
Information security and computing, two critical technological challenges for post-digital computation, pose opposing requirements – security (encryption) requires a source of unpredictability, while computing generally requires predictability.
Kyung Seok Woo, Janguk Han, Su-in Yi, Luke Thomas, Hyungjun Park, Suhas Kumar, Cheol Seong Hwang   +6 more
doaj   +1 more source

Information and logical transformations in Schaeffer and Pierce Bases in Maple [PDF]

ITM Web of Conferences
One of the tasks of synthesis and analysis of the functioning of combinational devices is the representation of a Boolean function in various bases. The absolute completeness of the use and implementation of various transformations of Boolean functions ...
Olenev Aleksandr, Potekhina Ekaterina, Khabarov Alexey, Zvereva Larisa   +3 more
doaj   +1 more source

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

Advanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu, Quanqing Tao, Junhao Ding, Shuo Qu, Haitao Ye, Jun Wei Chua, Tianxiao Niu, Rui Li, Winston Wai Shing Ma, Haoming Mo, Hui Liu, Wei Zhai, Xinwei Li, Xu Song   +13 more
wiley   +1 more source

Combined Acceleration Methods for Solid Rocket Motor Grain Burnback Simulation Based on the Level Set Method

International Journal of Aerospace Engineering, 2018
A detailed study of a set of combined acceleration methods is presented with the objective of accelerating the solid rocket motor grain burnback simulation based on the level set method.
Ran Wei, Futing Bao, Yang Liu, Weihua Hui   +3 more
doaj   +1 more source

vEMRec: High‐Resolution Volume Electron Microscopy Reconstruction Based on Structure‐Preserving and High‐Fidelity 3D Alignment

Advanced Science, EarlyView.
vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang, Hongjia Li, Zhongjun Yang, Zhiqiang Xu, Duanchen Sun, Xin Gao, Fa Zhang, Renmin Han   +7 more
wiley   +1 more source

Reconstructing Classical Algebras via Ternary Operations

Mathematics
Although algebraic structures are frequently analyzed using unary and binary operations, they can also be effectively defined and unified using ternary operations.
Jorge P. Fatelo, Nelson Martins-Ferreira
doaj   +1 more source

Spin Hall Nano‐Antenna

Advanced Science, EarlyView.
ABSTRACT The spin Hall effect is a well‐known phenomenon in spintronics that has found numerous applications in digital electronics (memory and logic), but relatively few in analog electronics. Practically the only analog application in widespread use is the spin Hall nano‐oscillator (SHNO) that delivers a high frequency alternating current or voltage ...
Raisa Fabiha, Pratap Kumar Pal, Michael Suche, Amrit Kumar Mondal, Erdem Topsakal, Anjan Barman, Supriyo Bandyopadhyay   +6 more
wiley   +1 more source

Neural Network‐Based Permittivity Engineering of Magnetic Absorbers for Customizable Microwave Absorption

Advanced Science, EarlyView.
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu, Jinzhe Li, Sen Li, Zhongqiu Guo, Yao Chen, Tian Li, Renchi Qin, Jiaxu Sun, Yongxi Lu, Fanbin Meng   +9 more
wiley   +1 more source

Correlated Boolean Operators for Uncertainty Logic

, 2022
We present a correlated \textit{and} gate which may be used to propagate uncertainty and dependence through Boolean functions, since any Boolean function may be expressed as a combination of \textit{and} and \textit{not} operations. We argue that the \textit{and} gate is a bivariate copula family, which has the interpretation of constructing bivariate ...
Enrique Miralles-Dolz, Ander Gray, Edoardo Patelli, Scott Ferson   +3 more
openaire   +3 more sources