Results 51 to 60 of about 153,078 (284)
Molecular modeling for physical property prediction [PDF]
, 2006 Multiscale modeling is becoming the standard approach for process study in a broader framework that promotes computer aided integrated product and process design.
Gerbaud, Vincent, Joulia, Xavier
core
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
Multiscale lattice Boltzmann approach to modeling gas flows [PDF]
, 2010 For multiscale gas flows, kinetic-continuum hybrid method is usually used to balance the computational accuracy and efficiency. However, the kinetic-continuum coupling is not straightforward since the coupled methods are based on different theoretical ...
E. F. TORO +6 more
core +2 more sources
Multiscale modeling methods in biomechanics [PDF]
WIREs Systems Biology and Medicine, 2017 More and more frequently, computational biomechanics deals with problems where the portion of physical reality to be modeled spans over such a large range of spatial and temporal dimensions, that it is impossible to represent it as a single space–time continuum. We are forced to consider multiple space–time continua, each representing the phenomenon of
Bhattacharya, P., Viceconti, M.
openaire +4 more sources
Advanced Engineering Materials, EarlyView.Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Combining Coarse-Grained Protein Models with Replica-Exchange All-Atom Molecular Dynamics [PDF]
, 2013 We describe a combination of all-atom simulations with CABS, a well-established coarse-grained protein modeling tool, into a single multiscale protocol. The simulation method has been tested on the C-terminal beta hairpin of protein G, a model system of ...
Gront, Dominik +4 more
core +3 more sources
Multiscale Gaussian network model (mGNM) and multiscale anisotropic network model (mANM) [PDF]
The Journal of Chemical Physics, 2015 Gaussian network model (GNM) and anisotropic network model (ANM) are some of the most popular methods for the study of protein flexibility and related functions. In this work, we propose generalized GNM (gGNM) and ANM methods and show that the GNM Kirchhoff matrix can be built from the ideal low-pass filter, which is a special case of a wide class of ...
Xia, Kelin +2 more
openaire +4 more sources
Numerical Exploration of Thermal Shock Resistance in MgO–C Refractories
Advanced Engineering Materials, EarlyView.A mesostructure‐resolved numerical framework is developed to evaluate the thermal shock resistance of MgO–C refractories. By modeling interface debonding under rapid temperature changes and introducing a modified thermal shock parameter that accounts for mesocracks, the study shows how graphite content and aggregate size influence thermal shock ...
Jishnu Vinayak Gopi +3 more
wiley +1 more source
npj Computational MaterialsGraph Neural Network (GNN) potentials relying on chemical locality offer near-quantum mechanical accuracy at significantly reduced computational costs.
Paul Fuchs +2 more
doaj +1 more source
Applied SciencesMaterial considerations are often neglected when developing digital twins, particularly at the relevant length scales that drive material and structural performance.
Brandon L. Hearley +4 more
doaj +1 more source