Observed since 21 Oct, 11:17 UTC
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SUPER FAST D/I analysis with aimnet2
aimDIAS is a Python package compatible with IPython that enables SUPER-FAST Distortion Interaction Analysis (or activation strain analysis) using aimnet2 models.
aimDIAS is currently in beta version. Functions may change depending on the version, so please check the version number.
For detail, see docs/*, notebooks/*
from aimDIAS import draw_xyz
draw_xyz("h2o.xyz", charge=0)
from aimDIAS import aimDIAS_run
fp = {
"frag_1" : (-1, [1, 2]),
"frag_2" : (+1, [3])
}
aimDIAS_run(trajFile="h2o.xyz", fragments_params=fp)
from aimDIAS import aimDIAS_run
gp = {"distance" : "1 2"}
fp = {
"frag_1" : (-1, [1, 2]),
"frag_2" : (+1, [3])
}
aimDIAS_run(trajFile="h2o.xyz",
fragments_params=fp,
mode="plot",
axis_type="distance",
geo_param=gp)
pip
pip install aimDIAS # old version
pip install git+https://github.com/kangmg/aimDIAS.git # current version
git clone
### terminal ###
git clone https://github.com/kangmg/aimDIAS
pip install -q -r path/to/aimDIAS/requirements.txt
### python ###
import sys
sys.path.append("path/to/aimDIAS")
python >= 3.10.0
Share your files and contribute to the community!
By sharing your xyz trajectory files in the Discussion section, you can make them available as sample data for everyone to use. Please refer to this discussion link for more information:
Files posted in the Discussion section will be uploaded to the samples/ directory in the project repository for easy download and utilization with the load_data() function.
kangmg@korea.ac.kr or issue in github
I'm always happy to hear feedback and suggestions. Feel free to contact me anytime.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 1.1.0 | 9 Jul 2024 | 7 |
This describes our collected data; it is not a security assessment.
Observed since 21 Oct, 11:17 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:1be11af0b6c2c21997b49fd04f1233c6af34c0f100dab7b2db9f6a66f79f58c8