Results 101 to 110 of about 1,649,222 (281)

New Analyses of Duopoly Game with Output Lower Limiters

Abstract and Applied Analysis, 2013
In the real business world, player sometimes would offer a limiter to their output due to capacity constraints, financial constraints, or cautious response to uncertainty in the world.
Zhaohan Sheng, Jianguo Du, Qiang Mei, Tingwen Huang   +3 more
doaj   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Protected Chaos in a Topological Lattice

Advanced Science
The erratic nature of chaotic behavior is thought to erode the stability of periodic behavior, including topological oscillations. However, it is discovered that in the presence of chaos, non‐trivial topology not only endures but also provides robust ...
Haydar Sahin, Hakan Akgün, Zhuo Bin Siu, S. M. Rafi‐Ul‐Islam, Jian Feng Kong, Mansoor B. A. Jalil, Ching Hua Lee   +6 more
doaj   +1 more source

Towards Analyzable Design Paradigms for Chaos-Based Cryptographic Primitives

Journal of Cybersecurity and Privacy
Although many chaos-based cryptosystems have been proposed over the past decade, they have yet to gain traction in real-world applications. A key reason for this is that most designs rely on security through obscurity, with unnecessarily complex ...
Abubakar Abba, Je Sen Teh, Mohd Najwadi Yusoff, Adnan Anwar   +3 more
doaj   +1 more source

Chaos and Robustness in a Single Family of Genetic Oscillatory Networks

PLoS ONE, 2014
Genetic oscillatory networks can be mathematically modeled with delay differential equations (DDEs). Interpreting genetic networks with DDEs gives a more intuitive understanding from a biological standpoint. However, it presents a problem mathematically, for DDEs are by construction infinitely-dimensional and thus cannot be analyzed using methods ...
Fu, Daniel, Tan, Patrick, Kuznetsov, Alexey, Molkov, Yaroslav I   +3 more
openaire   +4 more sources

Nonlinear Dynamics and Invariants of Motion in ReRAM Cells

Advanced Electronic Materials, EarlyView.
A second‐order cell, hosting one capacitor and two back‐to‐back ReRAMs, admits Invariants of Motion: its states lie on one‐dimensional manifolds at all times. The cell shows quiescent monostability or bistability, depending on the manifold index. At equilibrium, the capacitor voltage vanishes.
Mauro Di Marco, Mauro Forti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi, Alon Ascoli   +5 more
wiley   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Factor Intensity Reversal and Ergodic Chaos [PDF]

This paper studies a two-sector endogenous growth model with labour augmenting externalities or Harrod-Neutral technical change. The technologies are general and the preferences are of the CES class.
Goenka, Aditya, Poulsen, Odile
core  

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source