Results 51 to 60 of about 3,352 (233)
Model‐Inversion‐Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory
Schematic and key features of the proposed forward‐forward physical unclonable neural network (FF‐PUNN), incorporating a concealable physical unclonable function (PUF) layer and forward‐forward (FF) learning. ABSTRACT The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and ...
Sung‐Ho Park +8 more
wiley +1 more source
Global portraits of inflation in nonsingular variables
In the phase space perspective, scalar field slow roll inflation is described by a heteroclinic orbit from a saddle type fixed point to a final attractive point.
Laur Järv, Dmitri Kraiko
doaj +1 more source
New sufficient conditions for a center and global phase portraits for polynomial systems
The authors consider a system \[ x'=P(x,y),\quad y'=Q(x,y), \] where \(P,Q\) are polynomials in \(x,y\). They study the function \(1/M(x,y)\) (where \(M\) is an integrating factor for the system) to find new explicit conditions under which the system has a center. For cubic systems, global phase portraits in the case of center existence are described.
Giacomini, H., Ndiaye, M.
openaire +7 more sources
Performance Enhancement in Hafnium Oxide Through Homogeneous and Heterogeneous co‐Doping Strategies
This article presents a comprehensive co‐doping toolkit to optimize the performance and reliability of fluorite‐structure ferroelectrics like hafnium oxide. By employing homogeneous and heterogeneous co‐doping strategies, precise control over crystallization behavior, polarization hysteresis, and oxygen vacancy distribution is achieved.
Shouzhuo Yang +10 more
wiley +1 more source
Reduced Variability in Threshold Switches Using Heterostructures of SiOx and Vertically Aligned MoS2
Heterostructures of SiOx and vertically aligned MoS2 exhibit reliable threshold switching by guiding Ag ion migration through van der Waals gaps. Compared to SiOx‐only devices, these heterostructures demonstrate higher switching voltages, faster switching speeds, and reduced variability.
Jimin Lee +9 more
wiley +1 more source
Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley +1 more source
Farmers’ Protests in Germany: Media Coverage and Types of Bias
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source

