No project description provided
Project description
材料模拟环境
主要基于ase, janus-core 包
可以用于vasp, lammps, gpaw, MLIP 等计算器 对于vasp 需要安装 vasp 可执行文件, lammps 需要安装 lammps的 python 包, 使 import lammps 可以使用
用法:
- 安装: pip install soft_learn_project pip install git+https://gitee.com/wangjl580/soft_learn_project/tree/main # 安装最新版本
- 示例:
from soft_learn_project.ase_learn import aseLearn
al = aseLearn.AseLearn()
# 使用不同的计算器
# calc = al.CalcModule.get_calc_lammps(
# directory='/Users/wangjinlong/job/tmp/t1', )
# calc = al.CalcModule.get_calc_vasp(
# directory='/Users/wangjinlong/job/tmp/t1',
# kpts=(3,3,3))
# calc = al.CalcModule.get_calc_gpaw(
# directory='/Users/wangjinlong/job/tmp/t1',
# kpts=(3,3,3))
calc = al.CalcModule.get_calc_MLIP(
directory='/Users/wangjinlong/job/tmp/t1', )
atoms = al.Model.get_atoms_normal_crsytal(name='W', cubic=True)
al.calc_lattice_constant(atoms=atoms,
calc=calc,
is_recalc=True
)
最新的源码: https://gitee.com/wangjl580/soft_learn_project/tree/main
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
soft_learn_project-0.0.1.tar.gz
(795.2 kB
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 soft_learn_project-0.0.1.tar.gz.
File metadata
- Download URL: soft_learn_project-0.0.1.tar.gz
- Upload date:
- Size: 795.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
836a75e37b845f6d81b14a9d9c703a3502d1e8ef4018bfc69228727ea99091b6
|
|
| MD5 |
2d0937eb8da40efec5e14c8c1bc813f2
|
|
| BLAKE2b-256 |
658d6a4df58629cd86b8805f9c5dd35420da0cfcf485eec51682ba577904ad2c
|
File details
Details for the file soft_learn_project-0.0.1-py3-none-any.whl.
File metadata
- Download URL: soft_learn_project-0.0.1-py3-none-any.whl
- Upload date:
- Size: 898.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
40d92f543a32380f3ef06c702d12ffff6830c8d175220c2cb71f949c3af16735
|
|
| MD5 |
4577c835fcf875d91ee3cb030bd3997f
|
|
| BLAKE2b-256 |
158e6f500ecf617fe821c53982c8bb5e1c0efb98cc7a174da2e67e0ffa49578c
|