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Computational Materials Science for Polymers
Topic Information
Dear Colleagues,
Today, computer simulations (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling) and theoretical methods (e.g., self-consistent field theory, field-theoretical approaches, classical DFT) have become powerful tools for studying polymeric systems along with experimental methods. These methods are usually applied to the description of thermodynamic, mechanical, rheological, and transport properties of macromolecular systems (e.g., solutions, melts, glasses, gels and microgels, vesicles, MOFs) in the bulk and nano-confinement. In this respect, we are delighted to announce a new topic on “Computational Materials Science for Polymers”. Original research and review articles related to this Special Topic are welcome.
Dr. Mikhail G. Kiselev
Prof. Dr. Yury Budkov
Topic Editors
Keywords
- macromolecular systems
- polymer solutions
- glassy polymers
- polymer melts
- polymer networks
- branched polymers
- tethered polymers
- polyelectrolytes
- copolymers
- biomacromolecules
- nanostructures
- MOFs
- molecular dynamics
- monte carlo
- self-consistent field theory
- classical DFT
- field-theoretical approaches
Participating Journals
Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC |
---|---|---|---|---|---|
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Applied Sciences
|
2.838 | 4.5 | 2011 | 14.9 Days | 2300 CHF |
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Computation
|
- | 3.3 | 2013 | 16.2 Days | 1600 CHF |
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Materials
|
3.748 | 5.2 | 2008 | 13.9 Days | 2300 CHF |
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Polymers
|
4.967 | 6.6 | 2009 | 12.4 Days | 2400 CHF |
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Modelling
|
- | - | 2020 | 21.5 Days | 1000 CHF |