Cover Image

Accelerated Patient-Specific Hemodynamic Simulations with Hybrid Physics-Based Neural Surrogates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rubio, Natalia L., Darve, Eric F., Marsden, Alison L.
Format:	Preprint
Published:	2026
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data-Driven Bifurcation Handling in Physics-Based Reduced-Order Vascular Hemodynamic Models
by: Rubio, Natalia L., et al.
Published: (2025)

Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences
by: Rubio, Natalia L., et al.
Published: (2024)

Semi-Automated Generation and Hemodynamic Assessment of Surgical Baffle Geometry for Biventricular Repair
by: Martinez, Elena Sabdy, et al.
Published: (2026)

Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
by: Salvador, Matteo, et al.
Published: (2024)

Geometric Uncertainty of Patient-Specific Blood Vessels and its Impact on Aortic Hemodynamics
by: Bošnjak, Domagoj, et al.
Published: (2024)

Hybrid DeepONet Surrogates for Multiphase Flow in Porous Media
by: Santos, Ezequiel S., et al.
Published: (2025)

Towards a Hybrid Digital Twin: Physics-Informed Neural Networks as Surrogate Model of a Reinforced Concrete Beam
by: Sahin, Tarik, et al.
Published: (2024)

FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method
by: Pfaller, Martin R., et al.
Published: (2024)

Multi-fidelity Hamiltonian Monte Carlo
by: Patel, Dhruv V., et al.
Published: (2024)

Surrogate Structure-Specific Probabilistic Dynamic Responses of Bridge Portfolios using Deep Learning with Partial Information
by: Ning, Chunxiao, et al.
Published: (2025)

Multi-fidelity Batch Active Learning for Gaussian Process Classifiers
by: Cutforth, Murray, et al.
Published: (2025)

Toward Efficient FSI Modeling in Patient-Specific Arteries: SPH Simulation of Blood Flow in Thin Deformable Vessels
by: Zhao, Chenxi, et al.
Published: (2025)

From Centerlines to Hemodynamics: Anisotropic RBF Decoders for Coronary Arteries
by: Bafghi, Reza Akbarian, et al.
Published: (2026)

Bayesian Windkessel calibration using optimized 0D surrogate models
by: Richter, Jakob, et al.
Published: (2024)

Image-Based Whole-Heart Cardiac Flow Simulations in Health and Congenital Heart Disease
by: Kong, Fanwei, et al.
Published: (2026)

Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models
by: Natterer, Elena, et al.
Published: (2025)

Physics-Informed Surrogates for Temperature Prediction of Multi-Tracks in Laser Powder Bed Fusion
by: Safari, Hesameddin, et al.
Published: (2025)

Physically Interpretable Representation and Controlled Generation for Turbulence Data
by: Fan, Tiffany, et al.
Published: (2025)

Optimization of Functional Materials Design with Optimal Initial Data in Surrogate-Based Active Learning
by: Kim, Seongmin, et al.
Published: (2025)

Reusable Surrogate Models for Distillation Columns
by: Bubel, Martin, et al.
Published: (2025)

A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation
by: Du, Jian, et al.
Published: (2024)

Multi-Physics Inverse Design of Varifocal Optical Devices using Data-Driven Surrogates and Differential Modeling
by: Jin, Zeqing, et al.
Published: (2025)

Surrogate Modeling with Low-Rank Function Representation for Electromagnetic Simulation
by: Sun, Mingze, et al.
Published: (2026)

Mechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response
by: Sanger, Morgan D., et al.
Published: (2025)

Neural Modular Physics for Elastic Simulation
by: Li, Yifei, et al.
Published: (2025)

A Physics-Informed Neural Network Framework for Simulating Creep Buckling in Growing Viscoelastic Biological Tissues
by: Lin, Zhongya, et al.
Published: (2025)

Surrogate impact modelling for crop yield assessment
by: Vlachopoulos, Odysseas, et al.
Published: (2026)

Skeletal Reaction Models for Gasoline Surrogate Combustion
by: Liu, Yinmin, et al.
Published: (2025)

Accelerating Hydrodynamic Fabrication of Microstructures using Deep Neural Networks
by: Clinkinbeard, Nicholus R., et al.
Published: (2024)

Probabilistic Surrogate Model for Accelerating the Design of Electric Vehicle Battery Enclosures for Crash Performance
by: Shaikh, Shadab Anwar, et al.
Published: (2024)

Transfer Learning-Based Surrogate Modeling for Nonlinear Time-History Response Analysis of High-Fidelity Structural Models
by: Ishikawa, Keiichi, et al.
Published: (2025)

Partitioned Surrogates and Thompson Sampling for Multidisciplinary Bayesian Optimization
by: Baars, Susanna, et al.
Published: (2024)

Machine-Learning Enhanced Predictors for Accelerated Convergence of Partitioned Fluid-Structure Interaction Simulations
by: Tiba, Azzeddine, et al.
Published: (2024)

Mechanics Simulation with Implicit Neural Representations of Complex Geometries
by: Karki, Samundra, et al.
Published: (2025)

PINNsAgent: Automated PDE Surrogation with Large Language Models
by: Wuwu, Qingpo, et al.
Published: (2025)

A GPU-Accelerated Three-Dimensional Crack Element Method for Transient Dynamic Fracture Simulation
by: Xie, Yuxi, et al.
Published: (2025)

PyPOD-GP: Using PyTorch for Accelerated Chip-Level Thermal Simulation of the GPU
by: He, Neil, et al.
Published: (2024)

Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents
by: El-Kabid, Abdessamad, et al.
Published: (2025)

Towards an Assisted Simulation Planning for Co-Simulation of Cyber-Physical Energy Systems
by: Schwarz, Jan Sören, et al.
Published: (2024)

Enforcing the Principle of Locality for Physical Simulations with Neural Operators
by: Chen, Jiangce, et al.
Published: (2024)