Results 81 to 90 of about 1,588 (293)
Identification of Weakly Singular Relaxation Kernels in Three-Dimensional Viscoelasticity
The author is concerned with the following operator identification problem related to a Hilbert space \(X\), a Banach space \(Y\hookrightarrow X\) (densely) and to a closed subspace \(K\subset {\mathcal L}(X)\): determine a pair of functions \(u:(0,+\infty)\to X\) and \(M:(0,+\infty)\to K\) satisfying the equations \[ u''(t) = Au(t) - \int_0^t M(t-s)Bu(
openaire +1 more source
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source
The Approximate Solution of Fredholm Integral Equations with Oscillatory Trigonometric Kernels
A method for approximating the solution of weakly singular Fredholm integral equation of the second kind with highly oscillatory trigonometric kernel is presented.
Qinghua Wu
doaj +1 more source
We provide the numerical solution of a Volterra integro-differential equation of parabolic type with memory term subject to initial boundary value conditions.
Atefeh Fahim +3 more
doaj +1 more source
Yuzbasi, Suayip/0000-0002-5838-7063; Sezer, Mehmet/0000-0002-7744-2574WOS: 000302154000001In this paper, a collocation method based on the Bessel polynomials is introduced for the approximate solution of a class of linear integro-differential equations ...
Yuzbasi, Suayip, Sezer, Mehmet
core +1 more source
On the Lp-differentiability of certain classes of functions [PDF]
We prove the $L^p$-differentiability at almost every point for convolution products on $R^d$ of the form $K*\mu$, where $\mu$ is bounded measure and $K$ is a homogeneous kernel of degree $1-d$.
Crippa, Gianluca +7 more
core +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Mathematical modelling and calculation of hydraulic engineering constructions such as dam-plate in view of hydrodynamical pressure of water and seismic loading [PDF]
In present paper the problem about the forced vibrations of hydraulic engineering constructions such as dams is considered in view of hydrodynamical pressure of water and seismic loading.
B. Kh. Eshmatov +4 more
doaj
Isik, Osman Rasit/0000-0003-1401-4553WOS: 000288064600023In this study, a new collocation method based on the Bernstein polynomials is introduced for the approximate solution of a class of linear Volterra integro-differential equations with weakly ...
Guney, Zekeriya +5 more
core +1 more source
Asymmetric Multi‐Site Ion Exchange in Porous Carbon Electrodes
A lognormal‐distribution 2D EXSY NMR framework uncovers the full spectrum of ion dynamics in hierarchical porous carbons, bridging fast surface exchange and confined in‐pore transport—establishing structure–transport relationships for next‐generation energy storage, gas storage, and ion removal materials.
Henry R. N. B. Enninful +5 more
wiley +1 more source

