Coarse-grained Crystal Graph Neural Networks
Project description
CGCGNet
Coarse-grained crystal graph neural networks
Installation
We strongly recommend the Anaconda distribution of Python (3.10 release is required). You can create and activate a new conda environment with commands
conda create --name cgcgnet python=3.10
conda activate cgcgnet
conda install ipykernel openbabel
CGCGNet can be installed via the following command
pip install cgcgnet
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
cgcgnet-0.1.tar.gz
(56.9 MB
view details)
Built Distribution
cgcgnet-0.1-py3-none-any.whl
(57.0 MB
view details)
File details
Details for the file cgcgnet-0.1.tar.gz
.
File metadata
- Download URL: cgcgnet-0.1.tar.gz
- Upload date:
- Size: 56.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 327a275ef54f4d2b0de16bb09cc6ccfb42776eaaf73252a4df1b6fa305e1f6bc |
|
MD5 | 0744b3af4b6f52d000e66b043b01fe6b |
|
BLAKE2b-256 | f61d9cf9dc55e3e6f0a67756c23652f4d4fe424326356f2f4052cab65aca9e23 |
File details
Details for the file cgcgnet-0.1-py3-none-any.whl
.
File metadata
- Download URL: cgcgnet-0.1-py3-none-any.whl
- Upload date:
- Size: 57.0 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bccab6602dd7ecb7b1e5f3d43d44ae15642902cbc920b20c41066679a2dc9c9a |
|
MD5 | ce2144fac8c03eb5100bfe5fcb21366f |
|
BLAKE2b-256 | 397f8bda10c3863fbe7e586a766c5e9b2869f1ea3a0db9e101f895ad952a0f22 |