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Repository that provide a wrapper to use the software TCAD Sentaurus with Python.

pytaurus 최신버젼 다운로드

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# pytaurus
Repository that provide a wrapper to use the software [Sentaurus TCAD](www.synopsys.com) with Python. <img align="right" width="350"  src="finfet.png">

## Projects

### Basics
Import the library and create an instance
```python
from pytaurus import Project

path = '/path/to/TCAD/project'
project = Project(path)
```

### Running simulations
Running a simple simulation:
```python
exit_code = project.gsub()
```

It is also possible to choose the nodes to simulate by giving a list of integer:
```python
exit_code = project.gsub(nodes=[1, 2, 3])
```

### Cleaning project
```python
exit_code = project.gcleanup()
```

### Custom environment
When remotely calling subprocess call, it can happen that issue related to the environment variable arise.

such error include and are not limited to:
```
Job failed
Error: set ISEDB environment variable
gjob exits with status 1
```

If such error arises, it is possible to manually set needed environment variables for the smooth running of the
simulation.
```python
from pytaurus import Project

path = '/path/to/TCAD/project'
project = Project(path)

tcad_path = '/usr/synopsys/L_2016/bin'
scl_path = '/usr/synopsys/SCL/linux64/bin'
license_path = '/usr/synopsys/SCL/admin/license/license.dat'
stdb_path = '/home/user/STDB'

project.set_environment(
    tcad_path=tcad_path,
    scl_path=scl_path,
    license_path=license_path,
    stdb_path=stdb_path
)

exit_code = project.gsub()
```
The environment can also be passed directly when creating the instance:
```python
project = Project(path, environment=custom_environment)
```
Or when cleaning or running the project:
```python
gsub_exit_code = project.gsub(environment=custom_environment)
gclean_exit_code = project.gcleanup(environment=custom_environment)
```

**Note:** When calling subprocess, the argument `shell` is set to `True`. It does implicate [security considerations](https://docs.python.org/3/library/subprocess.html#security-considerations)
even if this argument is needed for running simulation (When `shell` is set to `False`, there are issues with environment variables, moreover, it is impossible to use a custom environment if the shell is not invoked)

## PLT Files
This repository contains a very simple class to convert "plt" file to different formats such as dataframe, csv or dictionary. The class can be easily added to your project. This allows to efficiently process files coming from software such as [Sentarurus TCAD](www.synopsys.com).

A raw plt file is also provided to test the script. The file was downloaded from the [National Tsinghua University website](http://semiconductorlab.iwopop.com/). It is part of the [3D TCAD Simulation for CMOS Nanoeletronic Devices](https://www.springer.com/gp/book/9789811030659) book.

### Basics
Import the library and create an instance
```python
from pytaurus import PLTFile

filepath = 'file.plt'
plt_file = PLTFile(filepath)
```
Getting the keys
```python
keys = plt_file.get_keys()
print(keys)
```

### Conversions
The different conversions:
```python
# Dataframe
dataframe = plt_file.to_dataframe()
print(dataframe)

# CSV file
path_csv_file = 'file.csv'
plt_file.to_csv(path_csv_file)

# Dictionary
dictionary = plt_file.to_dict()
print(dictionary)
```

It is also possible to filter the wanted keys during the conversion
```python
keys = ['d_total_current', 'd_inner_voltage']
dictionary = plt_file.to_dict(keys=keys)
print(dictionary)
```

### Keys and Kwargs
By default, the keys in the files are in the form "D Total Current", however, to make the name more pythonic, they are converted by default to snake case ex: "d_total_current" (by replacing spaces by underscore and removing uppercase). The `snake_case` argument allows to enable and disable this feature (`True` by default).

## Installation
This library contains only a few helper functions. It is therefore possible to integrate them directly in your project.
Otherwise, the command to install the repository via pip is:
```python
pip install git+https://github.com/thomashirtz/pytaurus#egg=pytaurus
```

## Citation

If you use this software in your research, please cite article that led to the creation of this tool :)

```
@article{hirtz2021framework,
  title={Framework for TCAD augmented machine learning on multi-I--V characteristics using convolutional neural network and multiprocessing},
  author={Hirtz, Thomas and Huurman, Steyn and Tian, He and Yang, Yi and Ren, Tian-Ling},
  journal={Journal of Semiconductors},
  volume={42},
  number={12},
  pages={124101},
  year={2021},
  publisher={IOP Publishing}
}
```

## License

Licensed under the Apache License, Version 2.0 (the "License");
     you may not use this file except in compliance with the License.
     You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
     distributed under the License is distributed on an "AS IS" BASIS,
     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     See the License for the specific language governing permissions and
     limitations under the License.

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