Results 61 to 70 of about 18,331 (226)

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

A Hybrid Numerical Framework Based on Radial Basis Functions and Finite Difference Method for Solving Advection–Diffusion–Reaction-Type Interface Models

Mathematical and Computational Applications
Advection–diffusion–reaction-type interface models have wide-ranging applications in environmental science, chemical engineering, and biological systems, particularly in modeling pollutant transport in groundwater, reactive flows, and drug diffusion ...
Muhammad Asif, Javairia Gul, Mehnaz Shakeel, Ioan-Lucian Popa   +3 more
doaj   +1 more source

Bending Analysis of Thickness‐ and Shear‐Deformable Materially Imperfect Composite Shells With von Kármán‐Type Geometric Nonlinearities

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Geometrically nonlinear static analysis of materially imperfect composite doubly curved shells is investigated via the generalised differential quadrature method. The effects of both shear and thickness deformation are considered through a thickness‐ and shear‐deformable third‐order theory formulated in curvilinear coordinates, while the ...
Behrouz Karami, Mergen H. Ghayesh, Shahid Hussain, Marco Amabili   +3 more
wiley   +1 more source

Análise e desenvolvimento de metodologias corretivas para a restauração da solução das equações da rede elétrica [PDF]

, 2001
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico.Aborda a análise e o desenvolvimento de metodologias corretivas para a restauração da solução das equações do fluxo de potência de um sistema de energia elétrica.
Barboza, Luciano Vitoria
core  

A Coupled Extended Finite Element–Cohesive Zone Model for Hydraulic Fracture Propagation Under Poroelastic Effects Across Different Propagation Regimes

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Numerical simulation of hydraulic fracturing remains challenging due to the strong coupling between geomechanics and fluid flow when modelling multiple physical mechanisms of rock deformation, fracture evolution and fluid leak‐off. This study develops a coupled hydraulic fracture propagation framework that combines the extended finite element ...
Ran Tao, Juliana Y. Leung, Samer Adeeb
wiley   +1 more source

Characteristics of a gigahertz patch antenna of the «fractal tree» type

Физика волновых процессов и радиотехнические системы
Background. According to a number of researchers, fractal antennas, including those for the gigahertz frequency range, have a fundamental multi-frequency, which makes it possible to reduce their number in a compact device for wireless communication ...
Rudolf A. Brazhe, Egor Yu. Lebedev
doaj   +1 more source

Numerical Modeling of Geological Fault Reactivation Using Sequential Coupling Strategies

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT The interaction between fluid flow and mechanical deformation in fault zones can lead to processes of fault reactivation, triggering potential geomechanical problems such as seismicity, well collapse, fluid migration to shallower layers, and aggravated surface subsidence.
Julio Rueda, Cristian Mejia, Roberto Quevedo, Deane Roehl   +3 more
wiley   +1 more source

Modified quasi-Newton type methods using gradient flow system for solving unconstrained optimization [PDF]

, 2016
In this thesis, we are mainly concerned with finding the numerical solution of nonlinear unconstrained optimization problems via gradient ow system. First, we give some brief mathematical background and then we consider a famous class of optimization ...
Yap, Chui Ying
core  

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Function-space quasi-Newton algorithms for optimal control problems with bounded controls and singular arcs [PDF]

, 1976
Two existing function-space quasi-Newton algorithms, the Davidon algorithm and the projected gradient algorithm, are modified so that they may handle directly control-variable inequality constraints.
Edge, E. R., Powers, William Francis, E. R. Edge, W. F Powers, Communicated T. N. Edetbaum   +4 more
core   +1 more source