Results 61 to 70 of about 1,423,830 (258)
A semi-linear boundary-value problem with nonlinear Robin boundary conditions is considered in a thin 3D aneurysm-type domain that consists of thin curvilinear cylinders that are joined through an aneurysm of diameter đ(Δ). Using the multi-scale analysis,
Melânyk Taras A. +1 more
doaj +1 more source
On the asymptotic distribution of multivariate M-estimates [PDF]
The asymptotic distribution of multivariate M-estimates is studied. It is shown that, in general, consistency leads to asymptotic normality and a Law of the Iterated Logarithm.
Carroll, Raymond J
core +1 more source
A Generative NeuroâSymbolic AI for Protein Sequence Design
We introduce EffieDes, a neuroâsymbolic framework coupling deep learningâbased fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Eigenvalue approximations for linear periodic differential equations with a singularity
We consider the second order, linear differential equation \begin{equation*}y''(x) + (\lambda.q(x)) y(x) = 0 \tag{1}\end{equation*} where $q$ is a real-valued, periodic function with period a.
B. J. Harris, F. Marzano
doaj +1 more source
An antiferroelectric tunnel junction serves as a reservoir computing node, where fieldâinduced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An InâGaâZn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon +13 more
wiley +1 more source
Asymptotic Estimates for r-Whitney Numbers of the Second Kind
The r-Whitney numbers of the second kind are a generalization of all the Stirling-type numbers of the second kind which are in line with the unified generalization of Hsu and Shuie.
Cristina B. Corcino +2 more
doaj +1 more source
Asymptotic Results with Generalized Estimating Equations for Longitudinal data II [PDF]
We consider the marginal models of Liang and Zeger (1986) for the analysis of longitudinal data and we develop a theory of statistical inference for such models.
Ioana Schiopu-Kratina, R. M. Balan
core
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
StructPotâCLR establishes a crossâmodal contrastive learning framework that aligns the crystal structures of 2D materials with planeâaveraged electrostatic potential landscapes for physically informed workâfunction prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the heldâout test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
On the expansion schemes in trajectory reversing method
The paper deals with certain expansion schemes in trajectory reversing method for estimating asymptotic stability region of nonlinear dynamical systems. The asymptotic behavior of the sequence of estimates is investigated.
Ćtefan MÄruĆter
doaj +2 more sources
Overview on a selection of recent works in asymptotic analysis for wave propagation problems [PDF]
We give a brief survey of some recent advances of asymptotic analysis methods applied to wave propagation ...
Claeys, Xavier
core

