Coarse-graining in polymer simulation: from the atomistic to the mesoscopic scale and back.
By Florian Müller-Plathe. ChemPhysChem, 2002
774 citations recorded by the source corpus.
Subfields: Materials Chemistry, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/6951d49dfad5edbe8493878bc1bfcc7d5c9bf647
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
- K. Müller
- Frank No'e
- Ying Li
- Brendan C. Abberton
- Wing Kam Liu
- Martin Kröger
- Cecilia Clementi
- Stefan Chmiela
In Statistical and Nonlinear Physics
- Cecilia Clementi
- K. Müller
- Jiang Wang
- K. Katsov
- Kurt Kremer
- Michael Schick
- Martin Kröger
- Wing Kam Liu
Citations in the corpus
- Biological and synthetic membranes: What can be learned from a coarse-grained description? (2006, methodology): “The rich structure of local correlations is specific to the chosen system, but the qualitative features discussed in the following are borne out by a wide class of systems and have been observed in a large variety of studies [10,14,15,17,213,218–235].”
- Challenges in Multiscale Modeling of Polymer Dynamics (2013, methodology): “Müller-Plathe and his co-workers [195–197] adopted the mapping scheme shown in Figure 11a using an IBI method with pressure correction.”
- Kremer–Grest Models for Commodity Polymer Melts: Linking Theory, Experiment, and Simulation at the Kuhn Scale (2018, background): “eyond the Kuhn scale. In this model, the maximal internal relaxation time of a chain is given by the Rouse time τR τK = N2 K , (7) while the macroscopic melt viscosity can be written as η ηK = nKNK . (8) In particular, Eqs. (7) and (8) illustrate the utility of the natural Kuhn units in expressing e”