aldsim
Simple models for thin film growth using atomic layer deposition
Motivation
Atomic layer deposition is a thin film growth technique that relies on self-limited surface kinetics. It plays a key role in areas such as microelectronics, and it is applied for energy, energy storage, catalysis, and decarbonization applications.
aldsim implements a series of models to help explore ALD in
various contexts and reactor configurations.
It has grown from a collection of papers that we have published over the past 10 years.
Status
aldsim is still in development. Over the next few months it will
be expanded to incorporate a variety of models. Please check aldsim's
documentation in readthedocs.
Quick install
Through pypi:
pip install aldsim
Usage
Acknowledgements
Argonne's Laboratory Directed Research and Development program
Copyright and license
Copyright © 2024, UChicago Argonne, LLC
aldsim is distributed under the terms of BSD License.
Argonne Patent & Intellectual Property File Number: SF-24-041
1 maintainer
Metadata
1 maintainer
Release files for aldsim 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aldsim-0.0.5.tar.gz | 29.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aldsim-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.2 kB
Release files / aldsim-0.0.5.tar.gz
| Download URL | aldsim-0.0.5.tar.gz |
|---|---|
| Size | 29.9 kB |
| Tags | Source |
|
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Release files / aldsim-0.0.5-py3-none-any.whl
| Download URL | aldsim-0.0.5-py3-none-any.whl |
|---|---|
| Size | 33.3 kB |
| Tags | Python 3 |
|
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