From 78984870d04fd11286f2dd7fb88d807f843f255a Mon Sep 17 00:00:00 2001 From: Karthik Menon Date: Wed, 26 Jun 2024 16:55:44 -0700 Subject: [PATCH] minor edit to summary --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index 54e130ea4..0e32a5979 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -41,7 +41,7 @@ We introduce `svZeroDSolver`, an efficient and modular package for performing lu As part of the `Simvascular` open-source project, `svZeroDSolver` allows users to go from medical imaging to fast zero-dimensional evaluations of patient-specific hemodynamics. `svZeroDSolver` is written in C++ using an object-oriented framework. It designed so that simply specifying a `.json` dictionary of lumped-parameter "blocks" -- such as blood vessels, valves, heart chambers, junctions between blood vessels, and boundary conditions (along with their associated parameters) -- allows the code to automatically assemble and solve the governing equations corresponding to the user-specified vascular model. -In addition, the package includes Python and C++ APIs to facilitate its use with other software packages. +In addition, the package includes Python and C++ APIs to facilitate interfacing it with other software packages. For example, it can be integrated into Python-based optimization and uncertainty quantification applications. It can also be interfaced with high-performance C++/Fortran software for high-fidelity cardiovascular flow simulations, where `svZeroDSolver` can conveniently provide lumped-parameter boundary conditions. `svZeroDSolver` also includes an application, called `svZeroDCalibrator`, to automatically calibrate parameters of a given zero-dimensional model to recapitulate independent measurements of hemodynamics at specific anatomical locations from high-fidelity simulations -- thus improving the accuracy of zero-dimensional simulations.