A dynamical atomistic chain to simulate mechanical properties of a one-dimensional material with zero temperature may be modelled by the molecular dynamics (MD) model. Because the number of particles (atoms) is huge for a MD model, in practice one often takes a much smaller number of particles to formulate a coarsegrained approximation. We shall mainly consider the consistency of the coarse-grained model with respect to the grain (mesh) size to provide a justification to the goodness of such an approximation. In order to reduce the characteristic oscillations with very different frequencies in such a model, we either add a viscous term to the coarse-grained MD model or apply a space average to the coarse-grained MD solutions for the consist...
We introduce a generalized machine learning framework to probabilistically parameterize upper-scale ...
We describe a novel coarse grained simulation method for modelling the dynamics of globular macromol...
Computer simulations of soft matter require a compromise to be made between the computational effici...
A dynamical atomistic chain to simulate mechanical properties of a one-dimensional material with zer...
A dynamical atomistic chain to simulate mechanical properties of a one-dimensional material with zer...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Computer simulations of molecules and atoms are useful tools in soft matter research. Physical chemi...
Computer simulations of molecules and atoms are useful tools in soft matter research. Physical chemi...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Molecular dynamics represents a key enabling technology for applications ranging from biology to the...
Molecular dynamics represents a key enabling technology for applications ranging from biology to the...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Coarse-grained molecular dynamics (CGMD) is a technique developed as a concurrent multiscale model t...
Molecular dynamics simulations at the atomic scale are a powerful tool to study the structure and dy...
Coarse-grained approaches are widely considered for analyzing multiatomic systems. They are based on...
We introduce a generalized machine learning framework to probabilistically parameterize upper-scale ...
We describe a novel coarse grained simulation method for modelling the dynamics of globular macromol...
Computer simulations of soft matter require a compromise to be made between the computational effici...
A dynamical atomistic chain to simulate mechanical properties of a one-dimensional material with zer...
A dynamical atomistic chain to simulate mechanical properties of a one-dimensional material with zer...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Computer simulations of molecules and atoms are useful tools in soft matter research. Physical chemi...
Computer simulations of molecules and atoms are useful tools in soft matter research. Physical chemi...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Molecular dynamics represents a key enabling technology for applications ranging from biology to the...
Molecular dynamics represents a key enabling technology for applications ranging from biology to the...
Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However, their...
Coarse-grained molecular dynamics (CGMD) is a technique developed as a concurrent multiscale model t...
Molecular dynamics simulations at the atomic scale are a powerful tool to study the structure and dy...
Coarse-grained approaches are widely considered for analyzing multiatomic systems. They are based on...
We introduce a generalized machine learning framework to probabilistically parameterize upper-scale ...
We describe a novel coarse grained simulation method for modelling the dynamics of globular macromol...
Computer simulations of soft matter require a compromise to be made between the computational effici...