The concept and details of implementation, user interface, and file formats of the Coarse-Graining OPTimization "CGOPT" (version 2.0) software package are described. It enables the user to map a full-detailed atomistic model of a polymer system to a coarse-grained mesoscale model (roughly one bead per chemical repeat unit). The features include a control script, an implementation of the simplex algorithm and an implementation of a structure difference algorithm based on potential inversions from distribution functions. Taken together, this machinery is able to automatically modify and optimize the force field by way of user-selected potential functions for mesoscale polymer simulations. (C) 2002 Elsevier Science B.V. All rights reserved
The growth of machine learning as a predictive tool in biochemical research has led to an increased ...
Atomistic and molecular simulations have become an important research field due to the progress made...
Presentation of ForceBalance as a parameter optimization tool for the first generation of force fiel...
The concept and details of implementation, user interface, and file formats of the Coarse-Graining O...
A central goal of molecular simulations is to predict physical or chemical properties such that cost...
The concept, issues of implementation and file formats of the GRadient-based Optimization Workflow f...
The Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) has developed a software too...
In this work, different global optimization techniques are assessed for the automated development of...
We demonstrate how an iterative method for potential inversion from distribution functions developed...
The increasing trend in the recent literature on coarse grained (CG) models testifies their impact i...
Machine-learned coarse-grained (CG) models have the potential for simulating large molecular complex...
Molecular mechanics force fields are widely used in computer-aided drug design for the study of drug...
We present a hybrid coarse-grained-atomistic model for soft materials that enables an easy and smoot...
Polymer and chemically modified biopolymer systems present unique challenges to traditional molecula...
Molecular mechanics force fields are widely used in computer-aided drug design for the study of drug...
The growth of machine learning as a predictive tool in biochemical research has led to an increased ...
Atomistic and molecular simulations have become an important research field due to the progress made...
Presentation of ForceBalance as a parameter optimization tool for the first generation of force fiel...
The concept and details of implementation, user interface, and file formats of the Coarse-Graining O...
A central goal of molecular simulations is to predict physical or chemical properties such that cost...
The concept, issues of implementation and file formats of the GRadient-based Optimization Workflow f...
The Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) has developed a software too...
In this work, different global optimization techniques are assessed for the automated development of...
We demonstrate how an iterative method for potential inversion from distribution functions developed...
The increasing trend in the recent literature on coarse grained (CG) models testifies their impact i...
Machine-learned coarse-grained (CG) models have the potential for simulating large molecular complex...
Molecular mechanics force fields are widely used in computer-aided drug design for the study of drug...
We present a hybrid coarse-grained-atomistic model for soft materials that enables an easy and smoot...
Polymer and chemically modified biopolymer systems present unique challenges to traditional molecula...
Molecular mechanics force fields are widely used in computer-aided drug design for the study of drug...
The growth of machine learning as a predictive tool in biochemical research has led to an increased ...
Atomistic and molecular simulations have become an important research field due to the progress made...
Presentation of ForceBalance as a parameter optimization tool for the first generation of force fiel...