Brownian simulations of a network of reptating primitive chains

By Yuichi Masubuchi, J. Takimoto, K. Koyama, G. Ianniruberto, G. Marrucci, F. Greco. 2001

246 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Fluid Flow and Transfer Processes, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/b36a8c4c8cad95aae7499c034f88d42524b23176

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Ying Li
2. Brendan C. Abberton
3. Wing Kam Liu
4. Martin Kröger
5. Billy D. Todd
6. Peter J. Daivis

In Fluid Flow and Transfer Processes

1. Wing Kam Liu
2. Ying Li
3. Brendan C. Abberton
4. Martin Kröger
5. Roland Keunings
6. Billy D. Todd
7. Peter J. Daivis

In Materials Chemistry

1. Ying Li
2. Brendan C. Abberton
3. Wing Kam Liu
4. Martin Kröger
5. Roland Keunings
6. Ted Belytschko
7. D. Qian
8. Jacob Fish

Citations in the corpus

• A full-chain, temporary network model with sliplinks, chain-length fluctuations, chain connectivity and chain stretching (2003, methodology): “A similar approach is also taken in a simulation of a 3D network model on a more-detailed level of description by [Masabuchi et al., 2001].”
• Challenges in Multiscale Modeling of Polymer Dynamics (2013, methodology): “2; both agree well with experimental results [144].”