ArticleJournal of computational physics2015
A Multiple Time Stepping Algorithm for Efficient Multiscale Modeling of Platelets Flowing in Blood Plasma.
Article in Journal of computational physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- A Computationally Efficient Viscoelastic Eukaryotic Cell Model.Annals of biomedical engineering · 2025Article
- A Biophysics-Based Mathematical Model of Shear-Induced Platelet Activation and Receptor Shedding: Re-Examining Previous Experimental Data.ASAIO journal (American Society for Artificial Internal Organs : 1992) · 2025Article
- [Research progress of coarse-grained molecular dynamics in drug carrier materials].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Review
- Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond.Annals of biomedical engineering · 2022Review
- Models of Shear-Induced Platelet Activation and Numerical Implementation With Computational Fluid Dynamics Approaches.Journal of biomechanical engineering · 2022Article
- Multiphysics and multiscale modeling of microthrombosis in COVID-19.PLoS computational biology · 2022Article
- Recent Advances in Computational Modeling of Biomechanics and Biorheology of Red Blood Cells in Diabetes.Biomimetics (Basel, Switzerland) · 2022Article
- A multiscale model for multiple platelet aggregation in shear flow.Biomechanics and modeling in mechanobiology · 2021Article
- A predictive multiscale model for simulating flow-induced platelet activation: Correlating in silico results with in vitro results.Journal of biomechanics · 2021Article
- Artificial Intelligence for Accelerating Time Integrations in Multiscale Modeling.Journal of computational physics · 2021Article
- Integrating blood cell mechanics, platelet adhesive dynamics and coagulation cascade for modelling thrombus formation in normal and diabetic blood.Journal of the Royal Society, Interface · 2021Article
- Online Machine Learning for Accelerating Molecular Dynamics Modeling of Cells.Frontiers in molecular biosciences · 2021Article
- Occlusive thrombosis in arteries.APL bioengineering · 2019Review
- Probing eukaryotic cell mechanics via mesoscopic simulations.PLoS computational biology · 2017Article
- Multiscale modeling methods in biomechanics.Wiley interdisciplinary reviews. Systems biology and medicine · 2017Review
- Review
- A multiscale biomechanical model of platelets: Correlating with in-vitro results.Journal of biomechanics · 2017Article
- Scalability Test of Multiscale Fluid-Platelet Model for Three Top Supercomputers.Computer physics communications · 2016Article
- A comprehensive study on different modelling approaches to predict platelet deposition rates in a perfusion chamber.Scientific reports · 2015Article
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Authors and funding
4 authors.
Funding
Abstract
We developed a multiple time-stepping (MTS) algorithm for multiscale modeling of the dynamics of platelets flowing in viscous blood plasma. This MTS algorithm improves considerably the computational efficiency without significant loss of accuracy. This study of the dynamic properties of flowing platelets employs a combination of the dissipative particle dynamics (DPD) and the coarse-grained molecular dynamics (CGMD) methods to describe the dynamic microstructures of deformable platelets in response to extracellular flow-induced stresses. The disparate spatial scales between the two methods are handled by a hybrid force field interface. However, the disparity in temporal scales between the DPD and CGMD that requires time stepping at microseconds and nanoseconds respectively, represents a computational challenge that may become prohibitive. Classical MTS algorithms manage to improve computing efficiency by multi-stepping within DPD or CGMD for up to one order of magnitude of scale differential. In order to handle 3-4 orders of magnitude disparity in the temporal scales between DPD and CGMD, we introduce a new MTS scheme hybridizing DPD and CGMD by utilizing four different time stepping sizes. We advance the fluid system at the largest time step, the fluid-platelet interface at a middle timestep size, and the nonbonded and bonded potentials of the platelet structural system at two smallest timestep sizes. Additionally, we introduce parameters to study the relationship of accuracy versus computational complexities. The numerical experiments demonstrated 3000x reduction in computing time over standard MTS methods for solving the multiscale model. This MTS algorithm establishes a computationally feasible approach for solving a particle-based system at multiple scales for performing efficient multiscale simulations.
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