A SEAMM plug-in for TorchANI
Project description
SEAMM TorchANI Plug-in
A SEAMM plug-in for TorchANI
Free software: BSD-3-Clause
Documentation: https://molssi-seamm.github.io/torchani_step/index.html
Features
Please edit this section!
Acknowledgements
This package was created with the molssi-seamm/cookiecutter-seamm-plugin tool, which is based on the excellent Cookiecutter.
Developed by the Molecular Sciences Software Institute (MolSSI), which receives funding from the National Science Foundation under award CHE-2136142.
History
- 2024.3.10 – Added RMSD for optimization and timing information
Added the RMSD between the initial and final structure for optimization.
Generally improved the output.
Added more properti4es to results that can be saved.
Updated installation to work with latest SEAMM installer.
- 2024.2.7 – Bugfix: handling of configurations and gradients
The code handled configurations incorrectly.This has been fixed.
The gradients were not output correctly, causing problems in e.g the Structure and Thermochemistry steps.
Changed logging at the INFO level to DEBUG to clean up the output of geomeTRIC.
- 2024.10.15 – Bugfix: error if used in a loop and previous directories deleted.
The code crashed if called with a loop in the flowchart, and the last directory of a previous loop iteration was deleted before running the next iteration.
- 2024.5.12.1 – Fixed problem with commandline in Docker
There was a problem in the commandline for running TorchANI in a Docker container.
- 2024.5.12 – Added support for Docker and for Energy Scan
Creating images for Docker automatically on release
Added the energy and gradients for output to JSON for e.g. Energy Scan
- 2023.2.28 – Initial version!
Handles energy and optimization.
ANI-1x, ANI-1ccx, and ANI-2x models
- 2023.1.17 (2023-01-17)
Plug-in created using the SEAMM plug-in cookiecutter.
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
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 torchani_step-2025.3.10.tar.gz.
File metadata
- Download URL: torchani_step-2025.3.10.tar.gz
- Upload date:
- Size: 344.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
434b08f18423721b5b41faf78ac6e50b2aa1247a7298c5debb70c7ecca2dda59
|
|
| MD5 |
8c64fa49a5088f3066c22d0aced561fb
|
|
| BLAKE2b-256 |
4636d5a4dd833d5053e643955723d3a4f151618c1989d219a18190bb0d562d8c
|
File details
Details for the file torchani_step-2025.3.10-py2.py3-none-any.whl.
File metadata
- Download URL: torchani_step-2025.3.10-py2.py3-none-any.whl
- Upload date:
- Size: 44.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
abb3659518ea0d1090d8169d6eb7d85356f2a9ada5d9ce0b2dc986a9d65b9e88
|
|
| MD5 |
c91bbd5da53189ad377799eb161f66e7
|
|
| BLAKE2b-256 |
846e478caae0026cb23a0bb208350357e0a0b76687df0d7ab60f2711532b2e4c
|