What can we Learn from Molecular Dynamics Simulations of Macromolecular Liquids?

1989 ◽  
Vol 177 ◽  
Author(s):  
Gary S. Grest ◽  
Kurt Kremer ◽  
Michael Murat

ABSTRACTWe describe how molecular dynamics simulations for a relatively simple coarse grained model can be very useful for investigating the static and dynamic properties of polymers and other macromolecular liquids. We show that it is important to use a simplified coarse grained model instead of a detailed microscopic model if one is interested in studying on modern supercomputers large systems which also relax slowly. As examples we present results for isolated star polymers with f-arms and diluted gelation/percolation clusters. We find in agreement with recent neutron scattering experiments that diluted percolation clusters swell and that their fractal dimension is reduced from 2.5 to 2. We also discuss our results for a dense melt of entangled linear polymers to show that the method is effective at high density. Our results for the entangled melt cover the crossover from Rouse to reptation and strongly support the concept of reptation.

2020 ◽  
Vol 22 (32) ◽  
pp. 17913-17921
Author(s):  
H. A. Pérez-Ramírez ◽  
G. Odriozola

We present a model for mesoscopic molecular dynamics simulations of poly(N-isopropyl-acrylamide) (pNIPAM).


2020 ◽  
Vol 48 (5) ◽  
pp. e29-e29 ◽  
Author(s):  
Jürgen Walther ◽  
Pablo D Dans ◽  
Alexandra Balaceanu ◽  
Adam Hospital ◽  
Genís Bayarri ◽  
...  

Abstract We present a new coarse grained method for the simulation of duplex DNA. The algorithm uses a generalized multi-harmonic model that can represent any multi-normal distribution of helical parameters, thus avoiding caveats of current mesoscopic models for DNA simulation and representing a breakthrough in the field. The method has been parameterized from accurate parmbsc1 atomistic molecular dynamics simulations of all unique tetranucleotide sequences of DNA embedded in long duplexes and takes advantage of the correlation between helical states and backbone configurations to derive atomistic representations of DNA. The algorithm, which is implemented in a simple web interface and in a standalone package reproduces with high computational efficiency the structural landscape of long segments of DNA untreatable by atomistic molecular dynamics simulations.


Soft Matter ◽  
2019 ◽  
Vol 15 (23) ◽  
pp. 4669-4681 ◽  
Author(s):  
Daniel J. Beltran-Villegas ◽  
Daniel Intriago ◽  
Kyle H. C. Kim ◽  
Natnael Behabtu ◽  
J. David Londono ◽  
...  

In this work we present a coarse-grained model for α-1,3-glucan that captures hydrogen bonding directionality and polysaccharide monomer structure.


Author(s):  
Radek Erban

Molecular dynamics (MD) simulations of ions (K + , Na + , Ca 2+ and Cl − ) in aqueous solutions are investigated. Water is described using the SPC/E model. A stochastic coarse-grained description for ion behaviour is presented and parametrized using MD simulations. It is given as a system of coupled stochastic and ordinary differential equations, describing the ion position, velocity and acceleration. The stochastic coarse-grained model provides an intermediate description between all-atom MD simulations and Brownian dynamics (BD) models. It is used to develop a multiscale method which uses all-atom MD simulations in parts of the computational domain and (less detailed) BD simulations in the remainder of the domain.


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