Results 201 to 210 of about 9,063 (254)

Deep Energy Method for Large Deformation Analysis of Isotropic and Inhomogeneous Hyperelastic Ellipsoidal Pressurized Structures

International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.
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, Shaofan Li, Timon Rabczuk   +2 more
wiley   +1 more source

Robust Circularly Polarized Luminescence via Quasi-Bound States in the Continuum in Intrinsic Chiral Silicon Metasurfaces. [PDF]

ACS Photonics
Zhu XK, Wei YC, Pura JL, Berghuis M, Liang M, Castillo López de Larrinzar B, Murai S, García-Martín A, Sánchez-Gil JA, He S, Gómez Rivas J.   +10 more
europepmc   +1 more source

Neural‐Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning

International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.
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, Yusuke Yamazaki, Jerry Paul Varghese, Markus Apel, Reza Najian Asl, Shahed Rezaei   +5 more
wiley   +1 more source

Numerical Analysis of Gravel Packing in Water Control Completion for Horizontal Wells: Mathematical Characterization and Experimental Validation. [PDF]

ACS Omega
Nie S, Gao S, Li H, Yin D.
europepmc   +1 more source

An efficient three-term conjugate gradient algorithm with restart strategy and image restoration. [PDF]

Sci Rep
Wang W, Gao J.
europepmc   +1 more source

Gauss-Newton inversion of ground transient electromagnetic data using COMSOL multiphysics. [PDF]

Sci Rep
Li F, Wang P, Lu K.
europepmc   +1 more source

Enhancing Superexchange through Frontier Orbital Engineering in a van der Waals Metal-Organic Magnet. [PDF]

Chem Mater
Pitcairn J, Ongkiko MAT, Speakman PJ, Tidey JP, Jordan JW, Newton GN, Manuel P, Stewart JR, Morris AJ, Cliffe MJ.   +9 more
europepmc   +1 more source

Tunable itinerant ferromagnetism in two-dimensional FePd₂Te₂ hosting 1D spin chains.

Newton
Ruiz AM, Shumilin A, Dey S, López-Alcala D, Baldoví JJ.   +4 more
europepmc   +1 more source

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Stochastic Quasi-Newton Methods

Proceedings of the IEEE, 2020
Large-scale data science trains models for data sets containing massive numbers of samples. Training is often formulated as the solution of empirical risk minimization problems that are optimization programs whose complexity scales with the number of elements in the data set.
Aryan Mokhtari, Alejandro Ribeiro
openaire   +1 more source

A Survey of Quasi-Newton Equations and Quasi-Newton Methods for Optimization

Annals of Operations Research, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chengxian Xu, Jianzhong Zhang 0001
openaire   +1 more source