High-Fidelity Description of Platelet Deformation Using a Neural Operator
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913592272486400 |
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| author | Laudato, Marco Manzari, Luca Shukla, Khemraj |
| author_facet | Laudato, Marco Manzari, Luca Shukla, Khemraj |
| contents | The goal of this work is to investigate the capability of a neural operator (DeepONet) to accurately capture the complex deformation of a platelet's membrane under shear flow. The surrogate model approximated by the neural operator predicts the deformed membrane configuration based on its initial configuration and the shear stress exerted by the blood flow. The training dataset is derived from particle dynamics simulations implemented in LAMMPS. The neural operator captures the dynamics of the membrane particles with a mode error distribution of approximately 0.5\%. The proposed implementation serves as a scalable approach to integrate sub-platelet dynamics into multi-scale computational models of thrombosis. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_00747 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | High-Fidelity Description of Platelet Deformation Using a Neural Operator Laudato, Marco Manzari, Luca Shukla, Khemraj Computational Physics The goal of this work is to investigate the capability of a neural operator (DeepONet) to accurately capture the complex deformation of a platelet's membrane under shear flow. The surrogate model approximated by the neural operator predicts the deformed membrane configuration based on its initial configuration and the shear stress exerted by the blood flow. The training dataset is derived from particle dynamics simulations implemented in LAMMPS. The neural operator captures the dynamics of the membrane particles with a mode error distribution of approximately 0.5\%. The proposed implementation serves as a scalable approach to integrate sub-platelet dynamics into multi-scale computational models of thrombosis. |
| title | High-Fidelity Description of Platelet Deformation Using a Neural Operator |
| topic | Computational Physics |
| url | https://arxiv.org/abs/2412.00747 |