Results 91 to 100 of about 7,995 (254)
In this paper, a process is devised systematically to scrutinize the scrolling chaotic behaviour of fractional-order Chua's system. The process is composed of fractional Laplace transformation, artificial neural network with Mexican hat wavelet as an ...
Najeeb A Khan +3 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang +14 more
wiley +1 more source
This article proposes a fast and reliable control strategy for a three-degree-of-freedom (3-DOF) Hover system subject to external disturbances and communication constraints.
Abdullah Abushokor +3 more
doaj +1 more source
The exponent of convergence of Poincaré series of combination groups
The author considers the free product of two discrete subgroups of the Möbius group of transformations \(GM(B^{n+1})\) with an amalgamated subgroup. For this general case he gives an estimate from below for the exponent of convergence in terms of the individual exponents.
openaire +3 more sources
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung +9 more
wiley +1 more source
In this article, we study the growth of solutions of homogeneous linear differential equation in which the coefficients are analytic functions of [p,q]-order in the unit disc. We obtain results about the (lower) [p,q]-order of the solutions, and the (
Hui Hu, Xiu-Min Zheng
doaj
We investigate the existence of sign-changing solutions for Kirchhoff-type problems with $p$-Laplacian involving critical exponent: \begin{equation*} -\left(1+b \vert \nabla v \vert_p^p\right)\Delta_p v+a(x)\vert v\vert^{p-2}v=\vert v\vert^{p^*-2}v ...
Youssouf Chahma, Yang Han
doaj +1 more source
Optoelectronic Nanofluidic Neural Networks for Ionic Computing
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang +10 more
wiley +1 more source
Some properties of meromorphic solutions for q-difference equations
The main purpose of this article is to investigate some properties on the meromorphic solutions of some types of q-difference equations, which can be seen the q-difference analogues of Paineve equations.
Hong Yan Xu, San Yang Liu, Xiu Min Zheng
doaj

