2020
DOI: 10.1007/12_2020_61
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Rheology, Rupture, Reinforcement and Reversibility: Computational Approaches for Dynamic Network Materials

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Cited by 5 publications
(13 citation statements)
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“…We have also introduced the three body energy parameter λ ≥ 1 that has the role of tuning the energy barrier for a swap event. In HOOMD-blue the class md.pair.revcross invokes eqns (1,2), where the parameters can be specified using pair_coeff.set([types],[types],sigma,n,epsilon,lambda3) as explained in the official HOOMD-blue documentation.…”
Section: The Swap Potentialmentioning
confidence: 99%
See 1 more Smart Citation
“…We have also introduced the three body energy parameter λ ≥ 1 that has the role of tuning the energy barrier for a swap event. In HOOMD-blue the class md.pair.revcross invokes eqns (1,2), where the parameters can be specified using pair_coeff.set([types],[types],sigma,n,epsilon,lambda3) as explained in the official HOOMD-blue documentation.…”
Section: The Swap Potentialmentioning
confidence: 99%
“…The concept of a smart material capable of changing its properties in response to certain external queues is the foundation of many lines of modern research. Numerical studies and simulation have always been powerful in predicting material properties from their elemental building blocks [1]. In the context of smart plastics, vitrimers have recently taken the spotlight [2][3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…Breaks, tears, cracks, or splits appear suddenly and propagate quickly; once they are visibly present little can be done to avert further damage. Despite its apparent unpredictability at larger length scales, however, complete failure is preceded by a phase of microscopic build‐up which is often more gradual and spread out over time 1,2 . Early detection of the microscopic and molecular scale events leading up to failure is therefore crucial for damage prevention and mitigation in materials.…”
Section: Introductionmentioning
confidence: 99%
“…Despite its apparent unpredictability at larger length scales, however, complete failure is preceded by a phase of microscopic build-up which is often more gradual and spread out over time. 1,2 Early detection of the microscopic and molecular scale events leading up to failure is therefore crucial for damage prevention and mitigation in materials. Likewise, the ability to identify molecular damage or wear at their earliest manifestation may expose the processes that trigger failure at the smallest scales and can inspire both a fundamental understanding of the operational principles of novel materials with exceptional resistance to failure such as tough hydrogels, [3][4][5][6][7][8] as well as their further rationally designed performance enhancements.…”
Section: Introductionmentioning
confidence: 99%
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