scholarly journals Autocorrelation study of the Θ transition for a coarse-grained polymer model

2014 ◽  
Vol 141 (7) ◽  
pp. 074101 ◽  
Author(s):  
Kai Qi ◽  
Michael Bachmann
Keyword(s):  
Coarse Grained ◽  
Polymer Model

scholarly journals Self Assembly of Model Polymers into Biological Random Networks

2020 ◽  
Author(s):  
Matthew Bailey ◽  
Mark Wilson
Keyword(s):  
Network Structure ◽  
Biological Networks ◽  
Self Assembly ◽  
Short Range ◽  
External Pressure ◽  
Coarse Grained ◽  
Random Networks ◽  
Network Structures ◽  
Polymer Model ◽  
Microscope Images

<div>The properties of biological networks, such as those found in the ocular lens capsule, are difficult to study without simplified models.</div><div>Model polymers are developed, inspired by "worm-like'' curve models, that are shown to spontaneously self assemble</div><div>to form networks similar to those observed experimentally in biological systems.</div><div>These highly simplified coarse-grained models allow the self assembly process to be studied on near-realistic time-scales.</div><div>Metrics are developed (using a polygon-based framework)</div><div>which are useful for describing simulated networks and can also be applied to images of real networks.</div><div>These metrics are used to show the range of control that the computational polymer model has over the networks, including the polygon structure and short range order.</div><div>The structure of the simulated networks are compared to previous simulation work and microscope images of real networks. </div><div>The network structure is shown to be a function of the interaction strengths, cooling rates and external pressure. </div><div>In addition, "pre-tangled'' network structures are introduced and shown to significantly influence the subsequent network structure.</div><div>The network structures obtained fit into a region of the network landscape effectively inaccessible to random</div><div>(entropically-driven) networks but which are occupied by experimentally-derived configurations.</div>

scholarly journals Self Assembly of Model Polymers into Biological Random Networks

2020 ◽  
Author(s):  
Matthew Bailey ◽  
Mark Wilson
Keyword(s):  
Network Structure ◽  
Biological Networks ◽  
Self Assembly ◽  
Short Range ◽  
External Pressure ◽  
Coarse Grained ◽  
Random Networks ◽  
Network Structures ◽  
Polymer Model ◽  
Microscope Images

<div>The properties of biological networks, such as those found in the ocular lens capsule, are difficult to study without simplified models.</div><div>Model polymers are developed, inspired by "worm-like'' curve models, that are shown to spontaneously self assemble</div><div>to form networks similar to those observed experimentally in biological systems.</div><div>These highly simplified coarse-grained models allow the self assembly process to be studied on near-realistic time-scales.</div><div>Metrics are developed (using a polygon-based framework)</div><div>which are useful for describing simulated networks and can also be applied to images of real networks.</div><div>These metrics are used to show the range of control that the computational polymer model has over the networks, including the polygon structure and short range order.</div><div>The structure of the simulated networks are compared to previous simulation work and microscope images of real networks. </div><div>The network structure is shown to be a function of the interaction strengths, cooling rates and external pressure. </div><div>In addition, "pre-tangled'' network structures are introduced and shown to significantly influence the subsequent network structure.</div><div>The network structures obtained fit into a region of the network landscape effectively inaccessible to random</div><div>(entropically-driven) networks but which are occupied by experimentally-derived configurations.</div>

scholarly journals Simulation of defects, flexibility and rupture in biopolymer networks

RSC Advances ◽  
2022 ◽  
Vol 12 (4) ◽  
pp. 2171-2180
Author(s):  
Matthew H. J. Bailey ◽  
Mark Wilson
Keyword(s):  
Simple Graph ◽  
Graph Representation ◽  
Coarse Grained ◽  
Polymer Model

We use a coarse grained polymer model and a simple graph representation to introduce defects into a biopolymer network, then cause them to rupture.

The statistical and dynamics properties of hard-sphere polymer chains

2015 ◽  
Vol 29 (18) ◽  
pp. 1550091 ◽  
Author(s):  
Zi-Wen Huang ◽  
Ji-Xuan Hou ◽  
Chun Xie ◽  
Hao Zhang
Keyword(s):  
Relaxation Time ◽  
Chain Length ◽  
Hard Sphere ◽  
Dynamic Properties ◽  
Polymer Chains ◽  
Coarse Grained ◽  
Power Exponent ◽  
Polymer Model ◽  
Time Saving ◽  
Scaling Relationship

We investigated a highly coarse-grained polymer model — hard-sphere (HS) model. This model is characterized by its time-saving computation and strictly guaranteed uncrossability of polymer chains. Regarding the statistical and dynamic properties of HS model, our simulating results perfectly coincide with pre-existing scaling theory. Additionally, we point out that the power exponent of scaling relationship between its relaxation time and chain length is 2.2.

scholarly journals A coarse-grained polymer model for studying the glass transition

2019 ◽  
Vol 150 (9) ◽  
pp. 091101 ◽  
Author(s):  
Hsiao-Ping Hsu ◽  
Kurt Kremer
Keyword(s):  
Glass Transition ◽  
Coarse Grained ◽  
Polymer Model

scholarly journals Self Assembly of Model Polymers into Biological Random Networks

2020 ◽  
Author(s):  
Matthew Bailey ◽  
Mark Wilson
Keyword(s):  
Network Structure ◽  
Biological Networks ◽  
Self Assembly ◽  
Short Range ◽  
External Pressure ◽  
Coarse Grained ◽  
Random Networks ◽  
Network Structures ◽  
Polymer Model ◽  
Microscope Images

<div>The properties of biological networks, such as those found in the ocular lens capsule, are difficult to study without simplified models.</div><div>Model polymers are developed, inspired by "worm-like'' curve models, that are shown to spontaneously self assemble</div><div>to form networks similar to those observed experimentally in biological systems.</div><div>These highly simplified coarse-grained models allow the self assembly process to be studied on near-realistic time-scales.</div><div>Metrics are developed (using a polygon-based framework)</div><div>which are useful for describing simulated networks and can also be applied to images of real networks.</div><div>These metrics are used to show the range of control that the computational polymer model has over the networks, including the polygon structure and short range order.</div><div>The structure of the simulated networks are compared to previous simulation work and microscope images of real networks. </div><div>The network structure is shown to be a function of the interaction strengths, cooling rates and external pressure. </div><div>In addition, "pre-tangled'' network structures are introduced and shown to significantly influence the subsequent network structure.</div><div>The network structures obtained fit into a region of the network landscape effectively inaccessible to random</div><div>(entropically-driven) networks but which are occupied by experimentally-derived configurations.</div>

The Alteration of the Pore Spaces in Sandstones

1973 ◽  
Vol 31 ◽  
pp. 210-211
Author(s):  
R. E. Ferrell ◽  
G. G. Paulson
Keyword(s):  
Electron Microscope ◽  
Scanning Electron Microscope ◽  
The Other ◽  
Coarse Grained ◽  
Depositional Fabric ◽  
Soluble Components ◽  
Scanning Electron ◽  
Shape And Size

The pore spaces in sandstones are the result of the original depositional fabric and the degree of post-depositional alteration that the rock has experienced. The largest pore volumes are present in coarse-grained, well-sorted materials with high sphericity. The chief mechanisms which alter the shape and size of the pores are precipitation of cementing agents and the dissolution of soluble components. Each process may operate alone or in combination with the other, or there may be several generations of cementation and solution.The scanning electron microscope has ‘been used in this study to reveal the morphology of the pore spaces in a variety of moderate porosity, orthoquartzites.

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