2020
DOI: 10.1016/j.jmps.2020.104040
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A new approach to the mechanics of DNA: Atoms-to-beam homogenization

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Cited by 8 publications
(3 citation statements)
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“…Because of limitations in computational resources, even the slowest stretching velocities used in simulations are higher in magnitude than those used in equivalent AFM experiments [54]. From the computational point of view, the coarse-grained (CG) MD approach [55] and atoms-to-beam homogenization approach [56] are reported as the most promising approaches to predict structural features while achieving computational efficiency, i.e. lowering production times.…”
Section: (B) Steered Molecular Dynamics Simulationsmentioning
confidence: 99%
“…Because of limitations in computational resources, even the slowest stretching velocities used in simulations are higher in magnitude than those used in equivalent AFM experiments [54]. From the computational point of view, the coarse-grained (CG) MD approach [55] and atoms-to-beam homogenization approach [56] are reported as the most promising approaches to predict structural features while achieving computational efficiency, i.e. lowering production times.…”
Section: (B) Steered Molecular Dynamics Simulationsmentioning
confidence: 99%
“…The PVP is a fundamental exposition and can be applied for various applications ranging from, for instance, modeling DNA macromolecules to elastic foundations (Kalliauer et al. 2020 ; Höller et al. 2019 ).…”
Section: A Brief Review Of Fundamental Conceptsmentioning
confidence: 99%
“…This use of the PVP to explore equilibrium conditions (or in the dynamic case, motion rules) is the target already of the original paper of Germain [9], where he covered classical and second-order continua. This example has been followed by very many examples from different branches of the rich field of mechanics and beyond, such as second-order fluid-solid interaction or poromechanics [39,40], structural mechanics [41][42][43], bio-macromolecule homogenization [44], or elastic parameter homogenization [45].…”
Section: A C K N O W L E D G M E N T Smentioning
confidence: 99%