Results 131 to 140 of about 115,774 (280)

Temperature‐Resilient Reconfigurable Physical Unclonable Function Driven by Pulse Modulation Using CMOS‐Integrated Spintronic Chips

Advanced Science, EarlyView.
A reconfigurable physical unclonable function is developed using CMOS‐integrated SOT‐MRAM chips, leveraging a dual‐pulse strategy and offering enhanced environmental robustness. A temperature‐compensation effect arising from the CMOS transistor and SOT‐MTJ is revealed and established as a key prerequisite for thermal resilience.
Min Wang, Chuanpeng Jiang, Zhaohao Wang, Zhengyi Hou, Zhongkui Zhang, Yuanfu Zhao, Hong‐xi Liu, Weisheng Zhao   +7 more
wiley   +1 more source

"Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models" [PDF]

This article introduces a new efficient simulation smoother and disturbance smoother for asymmetric stochastic volatility models where there exists a correlation between today's return and tomorrow's volatility.
Toshiaki Watanabe, Yasuhiro Omori
core  

TopCas: Topology‐Gated Cas12a via DNA‐RNA Chimeric Circular crRNA for Amplification‐Free Nucleic Acid Detection and Conditional Gene Editing

Advanced Science, EarlyView.
The TopCas platform utilizes an engineered DNA‐RNA chimeric circular crRNA to establish topology‐gated control over CRISPR‐Cas12a activity, enabling target‐triggered self‐catalytic amplification (preamplification‐free). This system seamlessly integrates highly sensitive molecular diagnostics with conditionally controlled gene editing, demonstrating ...
Shun Zhang, Wen Sun, Ting Xiao, Yali Wang, Xianlan Wu, Huiyou Chen, Ming Chen, Jun Zhang   +7 more
wiley   +1 more source

Development of an Autotuner for Plants with Stochastic Disturbances

, 2017
The most universally exercised model which amply describes the transient behaviour of a wide range of chemical processes is the first-order-plus-deadtime model. An identification experiment must be conducted to generate the data required to fit an accurate first-order-plus deadtime model.
openaire   +2 more sources

Nanocurvature‐Activated Dipolar Polarization in M–N4 Single‐Atom Sites for High‐Performance Electromagnetic Wave Absorption

Advanced Science, EarlyView.
Increasing nanocurvature effectively enriches the local electron density of the M–N4 motif, which facilitates electron transfer from the metal center to nitrogen atoms. This electronic behavior intensifies the localization and asymmetric distribution of charge, thereby significantly amplifying the dipole moment and polarizability.
Daohu Sheng, Siyao Cheng, Mengmeng Zhang, Jinglei Zhang, Xufei Zhu, Weijin Li, Bo Zhang, Aming Xie   +7 more
wiley   +1 more source

Sono‐Mechanogenetics: Linking Ultrasound Physics With Cellular Mechanobiology

Advanced Science, EarlyView.
Sono‐mechanogenetics links ultrasound physics with cellular mechanotransduction to enable noninvasive control of engineered biological systems. Acoustic forces generate distinct deformation modes that activate intracellular signaling pathways, which can be coupled to synthetic gene circuits to regulate diverse cellular functions, including gene ...
Yunjia Qu, Fan Wei, Chi Woo Yoon, Qifa Zhou, Yingxiao Wang   +4 more
wiley   +1 more source

Faster and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries

Advanced Science, EarlyView.
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni, Francesco Giuseppe Quilici, Davide Cademartori, Claudio Scarpelli, Uways Nurulain Mithoowani, Federica Barontini, Alessandro Ruvio, Monica Puccini, Giovanni Lutzemberger, Maria Paola Carpanese, Antonio Bertei   +10 more
wiley   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

Topology‐Enriched Toughness Enhancement in Quasi‐Periodic Metastructures Featuring Tailorable Strong‐Weak Network

Advanced Science, EarlyView.
A quasi‐periodic Dart‐Kite (QDK) metastructure with a golden‐ratio‐constrained strong–weak bond network simultaneously enhances strength, toughness, and damage tolerance. Its distributed topology enables predictable, tailorable crack paths for precise fracture control and stable mechanics, demonstrating a high‐performance, controllable architecture ...
Tianyu Gao, Genda Wang, Jiabao Bai, Kai Liu   +3 more
wiley   +1 more source

A Crack‐Based One‐Dimensional Microspheres Array Enables Thermal–Mechanical Decoupled Dual‐Functional Sensing

Advanced Science, EarlyView.
Inspired by Nostoc, a crack‐based one‐dimensional microspheres array (COMA) sensor is developed, which stabilizes crack geometry under isotropic expansion, enabling a predictable, monotonic thermal response from which true strain can be accurately extracted. The COMA sensor exhibits high sensitivity at ultralow deformation (gauge factor up to 89) and a
Wanqing Xu, Hongyi Tu, Zehao Wang, Tianyu Zhu, Chao Wang, Min Chen, Lan Shi, Limin Wu   +7 more
wiley   +1 more source