Results 221 to 230 of about 27,855,056 (325)

Isogeometric collocation methods for the Reissner–Mindlin plate problem

open access: yes, 2015
J. Kiendl   +4 more
semanticscholar   +1 more source

Photoaffinity labeling coupled to MS to identify peptide biological partners: Secondary reactions, for better or for worse?

open access: yesMass Spectrometry Reviews, EarlyView.
Abstract Affinity photolabeling is a smart method to study noncovalent and transient interactions and provide a submolecular picture of the contacts between interacting partners. In this review, we will focus on the identification of peptide partners using photoaffinity labeling coupled to mass spectrometry in different contexts such as in vitro with a
Astrid Walrant, Emmanuelle Sachon
wiley   +1 more source

A highly accurate numerical method for solving boundary value problem of generalized Bagley‐Torvik equation

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
A highly accurate numerical method is given for the solution of boundary value problem of generalized Bagley‐Torvik (BgT) equation with Caputo derivative of order 0<β<2$$ 0<\beta <2 $$ by using the collocation‐shooting method (C‐SM). The collocation solution is constructed in the space Sm+1(1)$$ {S}_{m+1}^{(1)} $$ as piecewise polynomials of degree at ...
Suzan Cival Buranay   +2 more
wiley   +1 more source

Numerical solution of nonlinear fractional differential equations by spline collocation methods

open access: yesJournal of Computational and Applied Mathematics, 2014
A. Pedas, E. Tamme
semanticscholar   +1 more source

SCT‐BEM for Transient Heat Conduction and Wave Propagation in 2D Thin‐Walled Structures

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Traditional boundary element method (BEM) faces significant challenges in addressing dynamic problems in thin‐walled structures. These challenges arise primarily from the complexities of handling time‐dependent terms and nearly singular integrals in structures with thin‐shapes.
Xiaotong Gao, Yan Gu
wiley   +1 more source

Transfer Learning in Physics‐Informed Neurals Networks: Full Fine‐Tuning, Lightweight Fine‐Tuning, and Low‐Rank Adaptation

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT AI for PDEs has garnered significant attention, particularly physics‐informed neural networks (PINNs). However, PINNs are typically limited to solving specific problems, and any changes in problem conditions necessitate retraining. Therefore, we explore the generalization capability of transfer learning in the strong and energy forms of PINNs ...
Yizheng Wang   +6 more
wiley   +1 more source

Numerical Simulation of Transient Heat Conduction With Moving Heat Source Using Physics Informed Neural Networks

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this article, the physics informed neural networks (PINNs) is employed for the numerical simulation of heat transfer involving a moving source under mixed boundary conditions. To reduce computational effort and increase accuracy, a new training method is proposed that uses a continuous time‐stepping through transfer learning.
Anirudh Kalyan, Sundararajan Natarajan
wiley   +1 more source

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