Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/comp-physics/weno-nn

A modified WENO method that improves interface sharpness via neural networks.

https://github.com/comp-physics/weno-nn

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.4%) to scientific vocabulary

Keywords

neural-networks weno
Last synced: 9 months ago · JSON representation

Repository

A modified WENO method that improves interface sharpness via neural networks.

Basic Info
  • Host: GitHub
  • Owner: comp-physics
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 2.83 MB
Statistics
  • Stars: 3
  • Watchers: 0
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
neural-networks weno
Created over 4 years ago · Last pushed over 4 years ago

https://github.com/comp-physics/WENO-NN/blob/master/ 

# WENO-NN

This is the code for WENO-NN, which was described [in this paper](https://doi.org/10.1007/s00162-020-00531-1) by Ben Stevens and Tim Colonius (Caltech).
See `Script_Basic.py` as an example, which can be modified to run other problems.

Owner

  • Name: Computational Physics @ GT CSE
  • Login: comp-physics
  • Kind: organization
  • Email: shb@gatech.edu

A computational physics research group with PI Spencer Bryngelson

GitHub Events

Total
  • Watch event: 2
  • Fork event: 2
Last Year
  • Watch event: 2
  • Fork event: 2