DAFI - Data Assimilation and Field Inversion
Ensemble based data-assimilation and field inversion.
Developed at Dr. Heng Xiao's group at Virginia Tech: Data-Enabled Computational Mechanics Laboratory at Virgnia Tech.
Website: https://dafi.readthedocs.io
Cite: C. A. Michelén Ströfer, X-L. Zhang, H. Xiao. DAFI: An open-source framework for ensemble-based data assimilation and field inversion. Communications in Computational Physics 29, pp. 1583-1622, 2021. DOI: 10.4208/cicp.OA-2020-0178. Also available at: arxiv: 2012.02651.
List of publications using DAFI:
-
C. A. Michelén Ströfer, X-L. Zhang, H. Xiao, O. Coutier-Delgosha. Enforcing boundary conditions on physical fields in Bayesian inversion. Computer Methods in Applied Mechanics and Engineering 367, 113097, 2020. DOI: 10.1016/j.cma.2020.113097. Also available at: arxiv: 1911.06683.
-
X.-L. Zhang, C. A. Michelén Ströfer, H. Xiao. Regularization of ensemble Kalman methods for inverse problems. Journal of Computational Physics, 416, 109517, 2020. DOI: 10.1016/j.jcp.2020.109517. Also available at: arxiv: 1910.01292.
-
X.-L. Zhang, H. Xiao, Th. Gomez, O. Coutier-Delgosha. Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes. Computers and Fluids, 203, 104530, 2020. DOI: 10.1016/j.compfluid.2020.104530. Also available at: arxiv: 2004.05541.
Contributors:
- Carlos A. Michelén Ströfer
- Xinlei Zhang
- Jianxun Wang
- Rui Sun
- Jinlong Wu
Contact: Carlos A. Michelén Ströfer; Heng Xiao
1 maintainer
Metadata
1 maintainer
Release files for DAFI 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| DAFI-1.0.2.tar.gz | 34.5 kB | Without provenance | Details for DAFI-1.0.2.tar.gz |
Release files / DAFI-1.0.2.tar.gz
| Download URL | DAFI-1.0.2.tar.gz |
|---|---|
| Size | 34.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5346f4512b4072154275cc7d3f1aef2836e692ae69f000ec3483086cb595994a
|
|
BLAKE2b-256 checksum How to use checksums |
5e1c3b637f38e727b2bd53393ae1f8face7343ffd8c8b9ae2e015fe5b203b692
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.4.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.10
|
Security for DAFI 1.0.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
