Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics

P Du, X Zhu, JX Wang - Physics of Fluids, 2022 - pubs.aip.org
Optimization and uncertainty quantification have been playing an increasingly important role
in computational hemodynamics. However, existing methods based on principled modeling …
被引用次数：23 相关文章

Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics

P Du, X Zhu, JX Wang - Physics of Fluids, 2022 - aip.scitation.org
Optimization and uncertainty quantification have been playing an increasingly important role
in computational hemodynamics. However, existing methods based on principled modeling …

Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics

P Du, X Zhu, JX Wang - Physics of Fluids, 2022 - par.nsf.gov
Optimization and uncertainty quantification have been playing an increasingly important role
in computational hemodynamics. However, existing methods based on principled modeling …

Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics

P Du, X Zhu, JX Wang - Physics of Fluids, 2022 - pubs.aip.org
Optimization and uncertainty quantification have been playing an increasingly important role
in computational hemodynamics. However, existing methods based on principled modeling …

Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics

P Du, X Zhu, JX Wang - Physics of Fluids, 2022 - cir.nii.ac.jp
抄録< jats: p> Optimization and uncertainty quantification have been playing an increasingly
important role in computational hemodynamics. However, existing methods based on …

Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics

P Du, X Zhu, JX Wang - arXiv preprint arXiv:2204.08939, 2022 - arxiv.org
Optimization and uncertainty quantification have been playing an increasingly important role
in computational hemodynamics. However, existing methods based on principled modeling …

Deep learning-based surrogate model for three-dimensional patient-specific computational fluid dynamics

P Du, X Zhu, JX Wang - Physics of Fluids, 2022 - ui.adsabs.harvard.edu
Optimization and uncertainty quantification have been playing an increasingly important role
in computational hemodynamics. However, existing methods based on principled modeling …