Revisiting stress–strain behavior and mechanical reinforcement of polymer nanocomposites from molecular dynamics simulations

2020 ◽  
Vol 22 (29) ◽  
pp. 16760-16771 ◽  
Author(s):  
Jianxiang Shen ◽  
Xiangsong Lin ◽  
Jun Liu ◽  
Xue Li

Through coarse-grained MD simulations, the effects of nanoparticle properties, polymer–nanoparticle interactions, chain crosslinks and temperature on the stress–strain behavior and mechanical reinforcement of PNCs are comprehensively investigated.

Author(s):  
Xiu Li ◽  
Ziwei Li ◽  
Jianxiang Shen ◽  
Zijian Zheng ◽  
Jun Liu

Fully understanding the mechanism by which nanoparticles (NPs) strengthen polymer matrices is crucial for fabricating high-performance polymer nanocomposites (PNCs). Herein, coarse-grained molecular dynamics simulations were adopted to explicitly investigate the...


Soft Matter ◽  
2019 ◽  
Vol 15 (5) ◽  
pp. 926-936 ◽  
Author(s):  
Katsumi Hagita ◽  
Keizo Akutagawa ◽  
Tetsuo Tominaga ◽  
Hiroshi Jinnai

To develop molecularly based interpretations of the two-dimensional scattering patterns (2DSPs) of phase-separated block copolymers (BCPs), we performed coarse-grained molecular dynamics simulations of ABA tri-BCPs under uniaxial stretching for block-fractions where the A-segment (glassy domain) is smaller than the B-segment (rubbery domain), and estimated the behaviour of their 2DSPs.


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.


2019 ◽  
Vol 21 (34) ◽  
pp. 18714-18726 ◽  
Author(s):  
Naishen Gao ◽  
Guanyi Hou ◽  
Jun Liu ◽  
Jianxiang Shen ◽  
Yangyang Gao ◽  
...  

Using coarse-grained molecular-dynamics simulations, we have successfully fabricated ideal, mechanically-interlocked polymer nanocomposites exhibiting a significant mechanical enhancement effect.


2021 ◽  
Vol 8 ◽  
Author(s):  
Paulo C. T. Souza ◽  
Vittorio Limongelli ◽  
Sangwook Wu ◽  
Siewert J. Marrink ◽  
Luca Monticelli

Molecular docking is central to rational drug design. Current docking techniques suffer, however, from limitations in protein flexibility and solvation models and by the use of simplified scoring functions. All-atom molecular dynamics simulations, on the other hand, feature a realistic representation of protein flexibility and solvent, but require knowledge of the binding site. Recently we showed that coarse-grained molecular dynamics simulations, based on the most recent version of the Martini force field, can be used to predict protein/ligand binding sites and pathways, without requiring any a priori information, and offer a level of accuracy approaching all-atom simulations. Given the excellent computational efficiency of Martini, this opens the way to high-throughput drug screening based on dynamic docking pipelines. In this opinion article, we sketch the roadmap to achieve this goal.


2015 ◽  
Vol 17 (11) ◽  
pp. 7196-7207 ◽  
Author(s):  
Jianxiang Shen ◽  
Jun Liu ◽  
Haidong Li ◽  
Yangyang Gao ◽  
Xiaolin Li ◽  
...  

In this work we have adopted coarse-grained molecular dynamics simulations to systematically investigate the effects of the grafting density and the grafted chain length on the structural, mechanical and visco-elastic properties of polymer nanocomposites (PNCs).


2020 ◽  
Author(s):  
Florencia Klein ◽  
Daniela Cáceres-Rojas ◽  
Monica Carrasco ◽  
Juan Carlos Tapia ◽  
Julio Caballero ◽  
...  

<p>Although molecular dynamics simulations allow for the study of interactions among virtually all biomolecular entities, metal ions still pose significant challenges to achieve an accurate structural and dynamical description of many biological assemblies. This is particularly the case for coarse-grained (CG) models. Although the reduced computational cost of CG methods often makes them the technique of choice for the study of large biomolecular systems, the parameterization of metal ions is still very crude or simply not available for the vast majority of CG- force fields. Here, we show that incorporating statistical data retrieved from the Protein Data Bank (PDB) to set specific Lennard-Jones interactions can produce structurally accurate CG molecular dynamics simulations. Using this simple approach, we provide a set of interaction parameters for Calcium, Magnesium, and Zinc ions, which cover more than 80% of the metal-bound structures reported on the PDB. Simulations performed using the SIRAH force field on several proteins and DNA systems show that using the present approach it is possible to obtain non-bonded interaction parameters that obviate the use of topological constraints. </p>


CrystEngComm ◽  
2021 ◽  
Author(s):  
Andrey Sarikov ◽  
Anna Marzegalli ◽  
Luca Barbisan ◽  
Massimo Zimbone ◽  
Corrado Bongiorno ◽  
...  

In this work, annihilation mechanism of stacking faults (SFs) in epitaxial 3C-SiC layers grown on Si(001) substrates is studied by molecular dynamics (MD) simulations. The evolution of SFs located in...


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