Uncovering near-wall blood flow from sparse data with physics-informed neural networks

A Bi-fidelity ensemble kalman method for PDE-constrained inverse problems in computational mechanics

(2021) Han Gao et al.   COMPUTATIONAL MECHANICS

Physics-informed machine learning: case studies for weather and climate modelling

(2021) K. Kashinath et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Deep neural network-based strategy for optimal sensor placement in data assimilation of turbulent flow

(2021) Zhiwen Deng et al.   PHYSICS OF FLUIDS

Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease

(2021) Shengze Cai et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Wall Shear Stress Topological Skeleton Analysis in Cardiovascular Flows: Methods and Applications

(2021) Valentina Mazzi et al.   Mathematics

Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks

(2021) Stefano Buoso et al.   MEDICAL IMAGE ANALYSIS

Multiscale Modeling Meets Machine Learning: What Can We Learn?

(2020) Grace C. Y. Peng et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Deep learning methods for super-resolution reconstruction of turbulent flows

(2020) Bo Liu et al.   PHYSICS OF FLUIDS

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

(2020) Maziar Raissi et al.   SCIENCE

The neural particle method – An updated Lagrangian physics informed neural network for computational fluid dynamics

(2020) Henning Wessels et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Leveraging reduced-order models for state estimation using deep learning

(2020) Nirmal J. Nair et al.   JOURNAL OF FLUID MECHANICS

Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks

(2020) Bradley Feiger et al.   Scientific Reports

Towards enabling a cardiovascular digital twin for human systemic circulation using inverse analysis

(2020) Neeraj Kavan Chakshu et al.   Biomechanics and Modeling in Mechanobiology

Super-resolution and denoising of 4D-Flow MRI using physics-Informed deep neural nets

(2020) Mojtaba F. Fathi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A generic physics-informed neural network-based constitutive model for soft biological tissues

(2020) Minliang Liu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

The Story of Wall Shear Stress in Coronary Artery Atherosclerosis: Biochemical Transport and Mechanotransduction

(2020) Mostafa Mahmoudi et al.   JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME

Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows

(2020) Kai Fukami et al.   JOURNAL OF FLUID MECHANICS

PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain

(2020) Han Gao et al.   JOURNAL OF COMPUTATIONAL PHYSICS

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

(2020) Xiaowei Jin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Data-driven prediction of unsteady flow over a circular cylinder using deep learning

(2019) Sangseung Lee et al.   JOURNAL OF FLUID MECHANICS

Comparison of statistical learning approaches for cerebral aneurysm rupture assessment

(2019) Felicitas J. Detmer et al.   International Journal of Computer Assisted Radiology and Surgery

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

(2019) Luning Sun et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks

(2019) Georgios Kissas et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Transient flow prediction in an idealized aneurysm geometry using data assimilation

(2019) Franziska Gaidzik et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Coronary artery plaque growth: A two‐way coupled shear stress–driven model

(2019) Amirhossein Arzani   International Journal for Numerical Methods in Biomedical Engineering

A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems

(2019) Xuhui Meng et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Data-Driven Sparse Sensor Placement for Reconstruction: Demonstrating the Benefits of Exploiting Known Patterns

(2018) Krithika Manohar et al.   IEEE CONTROL SYSTEMS MAGAZINE

Wall shear stress fixed points in cardiovascular fluid mechanics

(2018) Amirhossein Arzani et al.   JOURNAL OF BIOMECHANICS

Finite element modeling of near-wall mass transport in cardiovascular flows

(2018) Kirk Hansen et al.   International Journal for Numerical Methods in Biomedical Engineering

Variational data assimilation for transient blood flow simulations - Cerebral aneurysms as an illustrative example

(2018) S. W. Funke et al.   International Journal for Numerical Methods in Biomedical Engineering

Accounting for residence-time in blood rheology models: do we really need non-Newtonian blood flow modelling in large arteries?

(2018) Amirhossein Arzani   Journal of the Royal Society Interface

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Merging computational fluid dynamics and 4D Flow MRI using proper orthogonal decomposition and ridge regression

(2017) Ali Bakhshinejad et al.   JOURNAL OF BIOMECHANICS

Lagrangian wall shear stress structures and near-wall transport in high-Schmidt-number aneurysmal flows

(2016) Amirhossein Arzani et al.   JOURNAL OF FLUID MECHANICS

Characterizations and Correlations of Wall Shear Stress in Aneurysmal Flow

(2015) Amirhossein Arzani et al.   JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME

Potential fluid mechanic pathways of platelet activation

(2012) Shawn C. Shadden et al.   Biomechanics and Modeling in Mechanobiology

Characterization of the transport topology in patient-specific abdominal aortic aneurysm models

(2012) Amirhossein Arzani et al.   PHYSICS OF FLUIDS

Coronary Artery Wall Shear Stress Is Associated With Progression and Transformation of Atherosclerotic Plaque and Arterial Remodeling in Patients With Coronary Artery Disease

(2011) Habib Samady et al.   CIRCULATION

Association of Hemodynamic Characteristics and Cerebral Aneurysm Rupture

(2010) J.R. Cebral et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Wall shear stress and near-wall convective transport: Comparisons with vascular remodelling in a peripheral graft anastomosis

(2010) A.M. Gambaruto et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Grow with the flow: a spatial-temporal model of platelet deposition and blood coagulation under flow

(2010) K. Leiderman et al.   MATHEMATICAL MEDICINE AND BIOLOGY-A JOURNAL OF THE IMA

Flow instability and wall shear stress variation in intracranial aneurysms

(2009) H. Baek et al.   Journal of the Royal Society Interface