Toolkit to design, run and analyze ML-MCTDH(X) simulations
Project description
mlxtk
Toolkit to design, run and analyze ML-MCTDH(X) simulations
Description
mlxtk gives the user a simple interface to setup physical systems and provides common simulation tasks to be used as building blocks to set up rather complex simulations. Data is automatically stored in efficient formats (i.e. HDF5 and gzipped files).
Simulations can also be used in the context of parameter scans where each simulation is executed for each specified parameter combination. Submission of simulation jobs to computing clusters is easily achieved from the command line.
Furthermore, analysis and plotting tools are provided to interpret the simulation outcome.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mlxtk-0.7.1.tar.gz.
File metadata
- Download URL: mlxtk-0.7.1.tar.gz
- Upload date:
- Size: 64.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/0.12.17 CPython/3.7.4 Linux/5.2.9-arch1-1-ARCH
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1048b3c1d48fcca95b8bb6c1aa794485f1bbbff3a981e8c80e31c1da2c94498b
|
|
| MD5 |
eac93a49f95889feb95b63ccf16ff2c9
|
|
| BLAKE2b-256 |
873bb8dfab06188da3e1b006a2268171ca0476622b9dc90650c3c990c81353ad
|
File details
Details for the file mlxtk-0.7.1-py3-none-any.whl.
File metadata
- Download URL: mlxtk-0.7.1-py3-none-any.whl
- Upload date:
- Size: 105.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/0.12.17 CPython/3.7.4 Linux/5.2.9-arch1-1-ARCH
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3d0529f9f842c8064d77122df34179be547e76332f95559bd3918b128569ce34
|
|
| MD5 |
1e76a8fe67ba6bd2d7c29832878be7fe
|
|
| BLAKE2b-256 |
eafa0ebc9a856b6939517aa5855fd7944891fea17df1aae40fc446e6a08fa9d8
|
