Results 241 to 250 of about 7,154 (300)
Composite B-spline regularized delta functions for the immersed boundary method: Divergence-free interpolation and gradient-preserving force spreading. [PDF]
Gruninger C, Griffith BE.
europepmc +1 more source
ABSTRACT Transmission corridors are critical components of power delivery infrastructure, and their large‐area monitoring increasingly relies on national‐scale airborne lidar programs. This study presents an unsupervised, scalable framework for extracting transmission corridor structures (including conductors and supporting towers) from U.S. Geological
Nanzhou Hu +4 more
wiley +1 more source
Design of Bayesian Clinical Trials With Clustered Data. [PDF]
Hagar L, Golchi S.
europepmc +1 more source
Convergence of Hermite expansions in modulation spaces
Abstract The aim of this paper is to give an elementary proof that the Hermite expansion of a function f$f$ in the modulation space Mp(R)$M^p({\mathbb {R}})$ converges to f$f$ in Mp(R)$M^p({\mathbb {R}})$ when 1
Philippe Jaming, Michael Speckbacher
wiley
Smoothness and stability in the Alt-Phillips problem. [PDF]
Carducci M, Tortone G.
europepmc +1 more source
Groups with a finite Busemann boundary are virtually cyclic
Abstract This note is a continuation of the study of the relationship between the geometry of Cayley graphs and the size of its metric‐functional boundary. We show that if there exists a Cayley graph with finitely many Busemann points, then the underlying group is virtually cyclic.
Corentin Bodart +2 more
wiley +1 more source
A scaling limit theorem for controlled branching processes with a size-divisible term. [PDF]
González M +2 more
europepmc +1 more source
ABSTRACT The accurate prediction of displacement and stress fields in pressure vessels is essential for the safe and reliable design of these structures, particularly when dealing with nonlinear behavior such as that of hyperelastic functionally graded materials (FGMs).
Nasser Firouzi +2 more
wiley +1 more source
Digital image correlation technique for the kinematic assessment of laser system optomechanical mounts. [PDF]
Pisonero J +5 more
europepmc +1 more source
Neural‐Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning
ABSTRACT We propose a Newton‐based scheme, initialized by neural operator predictions, to accelerate the parametric solution of nonlinear problems in computational solid mechanics. First, a physics‐informed neural operator based on conditional neural fields or Fourier neural operators is trained to approximate the nonlinear parametric solution of the ...
Kianoosh Taghikhani +5 more
wiley +1 more source

