QM40_dataset_for_ML
QM40 is a QMx type of dataset which includes 150K molecules optimized from B3LYP/6-31G(2df,p) level of theory in the Gaussian16 with QM parameters, optimized coordinates, Mulliken charges and Local vibrational mode parameters as a quantitative measurer of the bond strengths.
- Free software: MIT License
- Documentation: https://Ayeshmadu.github.io/QM40_dataset_for_ML
Features
- TODO
Metadata
Release files for QM40-dataset-for-ML 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qm40_dataset_for_ml-0.0.1.tar.gz | 23.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| QM40_dataset_for_ML-0.0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 35.6 kB
Release files / qm40_dataset_for_ml-0.0.1.tar.gz
| Download URL | qm40_dataset_for_ml-0.0.1.tar.gz |
|---|---|
| Size | 23.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e44ccd1306c1591e50f55ed8875e24b87ff13b149da3da47535afc43ca312704
|
|
BLAKE2b-256 checksum How to use checksums |
a54830d0aacaa3ba60171dd7e0c04df34e6b42139a3d2c54b095fa84dcf5feca
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.3
|
Release files / QM40_dataset_for_ML-0.0.1-py2.py3-none-any.whl
| Download URL | QM40_dataset_for_ML-0.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 12.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
50610e67993f808e9229dbd35125f0424af4b0e4f2959af8f262f04ebc58a995
|
|
BLAKE2b-256 checksum How to use checksums |
46e7f1814391e66f9a644152520791d6a33dd9e20dbbb46e296745df23695989
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.3
|