Results 91 to 100 of about 1,611 (184)

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

A New Padé Approach to Modeling Wormholes in Dekel‐Zhao Dark Matter Halos

Annalen der Physik, Volume 538, Issue 3, March 2026.
A matter‐first Padé strategy is introduced to build traversable wormholes from prescribed dark‐matter halos. Rational Padé fits approximately the Dekel–Zhao density and are analytically integrated to obtain a shape function that exactly reproduces the intended matter content, avoiding spurious poles of geometry‐first schemes.
Jonathan Alves Rebouças, Francisco Tiago Barboza Sampaio, Francisco Bento Lustosa, Leonardo Tavares de Oliveira, C. R. Muniz   +4 more
wiley   +1 more source

Quantum Circuit Reconstruction from Power Side-Channel Attacks on Quantum Computer Controllers

Transactions on Cryptographic Hardware and Embedded Systems
The interest in quantum computing has grown rapidly in recent years, and with it grows the importance of securing quantum circuits. A novel type of threat to quantum circuits that dedicated attackers could launch are power trace attacks. To address this
Ferhat Erata, Chuanqi Xu, Ruzica Piskac, Jakub Szefer   +3 more
doaj   +1 more source

Learning hydrocracking reaction dynamics via neural ODEs: A data‐driven, gradient‐interpretable lumped modelling framework

The Canadian Journal of Chemical Engineering, Volume 104, Issue 3, Page 1372-1386, March 2026.
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta, Lakshminarayanan Samavedham, Ajay K. Ray   +2 more
wiley   +1 more source

Finite Element Analysis and ANN Validation of Mixed Convection Nanofluid Flow in a Star‐Shaped Corrugated Cavity With Multiple Heated Baffles

Engineering Reports, Volume 8, Issue 3, March 2026.
This study carefully examines the mixed convection heat transport properties of a water–Al2O3 nanofluid inside a corrugated chamber with heated baffles in the shape of a star. The effects of different Rayleigh numbers, nanoparticle volume fractions, and baffle placement are carefully evaluated, and the cavity is subjected to buoyancy forces. The finite
Rabia Salma, Sohail Nadeem, Jehad Alzabut, Muzamil Fatima, B. Zigta   +4 more
wiley   +1 more source

Empowering Senegalese Farmers Through Adaptive Expenditure Strategies for Climate Resilience

Food and Energy Security, Volume 15, Issue 2, March/April 2026.
ABSTRACT Farmer households employ various coping strategies to address climate and non‐climate shocks, which are primarily categorized into production‐focused and consumption‐focused approaches. While the former has been extensively remarked on in recent studies, the latter has received little attention in the literature.
Mohammad Tirgariseraji, A. Pouyan Nejadhashemi   +1 more
wiley   +1 more source

Enhancing Robustness in Finite‐Strain Crystal Plasticity: An Interior Point Method With Sequential Rotation Updates

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 1, March 2026.
ABSTRACT Crystal plasticity simulations offer insights into the anisotropic deformation of polycrystalline materials such as metals and alloys. However, rate‐independent crystal plasticity models encounter the Taylor ambiguity, where the active slip systems and plastic slip magnitudes are not uniquely defined, posing well‐known numerical challenges [1].
Felix Steinmetz, Lisa Scheunemann
wiley   +1 more source

Methodological Frameworks for Computational Electrocatalysis: From Theory to Practice

Small Methods, Volume 10, Issue 5, 9 March 2026.
Computational modeling is widely used to investigate electrocatalytic reactions, yet accurately describing electrochemical interfaces remains challenging. This review outlines theoretical and computational strategies, based on density functional theory, to model reaction thermodynamics, solvation effects, applied bias, and kinetics.
Michele Re Fiorentin, Michele G. Bianchi, Magnus A. H. Christiansen, Anna Ciotti, Francesca Risplendi, Wei Wang, Elvar Ö. Jónsson, Hannes Jónsson, Giancarlo Cicero   +8 more
wiley   +1 more source

Cryptanalysis of novel extended multivariate public key cryptosystem

Tongxin xuebao, 2015
The novel extended multivariate public key cryptosystem is a new security enhancement method on multivariate public key cryptosystems,which is proposed by Qiao,et al.A nonlinear invertible transformation was used,named“tame transformation”,on the ...
Xu-yun NIE, Bo LIU, Gang LU, Ting ZHONG
doaj  

Poroelastic Bulk Controls on Shear Localization in Fault Gouge During Earthquake Rupture: Insights From a Hybrid Numerical Framework

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract Seismic ruptures that extend over kilometers along faults originate in shear zones only millimeters thick. We present a hybrid numerical framework coupling the spectral boundary integral method (SBIM) for the poroelastic bulk with a staggered‐grid finite difference method (FDM) for the fault gouge.
Yu‐Han Wang, Elías Rafn Heimisson
wiley   +1 more source