Results 91 to 100 of about 1,200 (188)

Poseidon and Neptune: Gröbner Basis Cryptanalysis Exploiting Subspace Trails

IACR Transactions on Symmetric Cryptology
At the current state of the art, algebraic attacks are the most efficient method for finding preimages and collisions for arithmetization-oriented hash functions, such as the closely related primitives Poseidon/Poseidon2 and Neptune.
Lorenzo Grassi, Katharina Koschatko, Christian Rechberger   +2 more
doaj   +1 more source

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

Preimage and collision attacks on reduced Ascon using algebraic strategies

Cybersecurity
Ascon, a family of algorithms that supports hashing and authenticated encryption, is the winner of the NIST Lightweight Cryptography Project. In this paper, we propose an improved preimage attack against 2-round Ascon-XOF-64 with a complexity of $$2^{33}$
Qinggan Fu, Ye Luo, Qianqian Yang, Ling Song   +3 more
doaj   +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

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

Security Analysis of Cluster Synchronization for Boolean Control Networks Under Deception Attacks

IEEE Access
This paper investigates the security of cluster synchronization in Boolean control networks under deception attacks, where attackers manipulate system states to disrupt feedback controller selections.
Yanbo Sun, Chi Huang
doaj   +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