Neural network correction tool for activation energy in VHR thermoluminescence
Project description
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
correction_ea_vhr-0.1.tar.gz
(51.2 MB
view details)
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 correction_ea_vhr-0.1.tar.gz.
File metadata
- Download URL: correction_ea_vhr-0.1.tar.gz
- Upload date:
- Size: 51.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
39c7da74db897c48d26661e74542508ed8d21032cc044317192fbdf7a5b829c7
|
|
| MD5 |
d2bb7657fd974e90cc7a5beca928b6e0
|
|
| BLAKE2b-256 |
dcbf6869752a2881aa90b3689e8e3d0738f80d9c580e571177a9942913e5ee17
|
File details
Details for the file correction_ea_vhr-0.1-py3-none-any.whl.
File metadata
- Download URL: correction_ea_vhr-0.1-py3-none-any.whl
- Upload date:
- Size: 51.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6c02ecfbdf951b7e30ea0cfbe2a1045ed960a8201e51e97b8edff842c4bf486a
|
|
| MD5 |
7c9e87b303489d79a6ebc070cebd9c86
|
|
| BLAKE2b-256 |
edd64986d7f2e67c9aac88516ce6b196cada88b9dda8031e9c0eb80204131a14
|