Skip to main content

Automated Vascular Generation and CFD Simulation

Project description

[![Platform](https://img.shields.io/badge/platform-linux--64%20%7C%20win--32%20%7C%20osx--64%20%7C%20win--64-lightgrey)]() (https://github.com/zasexton/svcco)
Synthetic Vascular Optimization (SVO) an open-source API for automated vascular generation and multi-fidelity hemodynamic simulation written in Python. Often small-caliber vessels are difficult or infeasible to obtain from experimental data sources despite playing important roles in blood flow regulation and cell microenvironments. SVCCO aims to provide tissue engineers and computational hemodynamic scientists with de novo vasculature that can easily be applied in biomanufacturing applications or computational fluid dynamic (CFD) analysis.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

svcco-0.5.45.tar.gz (4.0 MB view details)

Uploaded Source

File details

Details for the file svcco-0.5.45.tar.gz.

File metadata

  • Download URL: svcco-0.5.45.tar.gz
  • Upload date:
  • Size: 4.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.3 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.9

File hashes

Hashes for svcco-0.5.45.tar.gz
Algorithm Hash digest
SHA256 e565925e76493a25a3002f20f99d127712aa81953a78ab8707b06cf7b478ed14
MD5 27ca78990378c5849d4fc52b40234596
BLAKE2b-256 445f4808fd99c11491e2b284c447fe0cffe13e2d2b657d4ce1c156f5859f6fe9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page