Results 71 to 80 of about 1,498,610 (256)
Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Multiscale Partition of Unity [PDF]
, 2013 We introduce a new Partition of Unity Method for the numerical homogenization of elliptic partial differential equations with arbitrarily rough coefficients. We do not restrict to a particular ansatz space or the existence of a finite element mesh.
C.A. Duarte +11 more
core +2 more sources
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Comparison of Multiscale Method of Cells-Based Models for Predicting Elastic Properties of Filament Wound C/C-SiC [PDF]
Three different multiscale models, based on the method of cells (generalized and high fidelity) micromechanics models were developed and used to predict the elastic properties of C/C-SiC composites.
Bednarcyk, Brett A. +4 more
core +2 more sources
Generalization of mixed multiscale finite element methods with applications [PDF]
, 2016 Many science and engineering problems exhibit scale disparity and high contrast. The small scale features cannot be omitted in the physical models because they can affect the macroscopic behavior of the problems. However, resolving all the scales in these problems can be prohibitively expensive.
openaire +2 more sources
Optical Control of the Thermal Conductivity in BaTiO3
Advanced Functional Materials, EarlyView.Light‐driven manipulation of thermal conductivity in archetypal ferroelectric, BaTiO3, offers a novel and effective approach for the dynamical control of the heat flux, with potential applications in thermal management and phonon‐based logic. Abstract Achieving dynamic control over thermal conductivity remains a formidable challenge in condensed matter
Claudio Cazorla +4 more
wiley +1 more source
Multiscale failure Modeling of composites using generalized finite element method [PDF]
PAMM, 2012 AbstractIn this work multiscale failure modeling of composites is made using generalized finite element method (GFEM). In this method the global approximation are constructed by combining the local basis with partition of unity functions. The enrichment functions for the GFEM approximation are computed using a proper orthogonal decomposition (POD ...
Amirtham Rajagopal, Mahendra Kumar Pal
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Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders
Advanced Functional Materials, EarlyView.This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao +5 more
wiley +1 more source
Application of a conservative, generalized multiscale finite element method to flow models
Journal of Computational and Applied Mathematics, 2014 27 pages, 10 ...
PreshoMichael +2 more
openaire +4 more sources
Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators
Advanced Materials, EarlyView.This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin +7 more
wiley +1 more source