Metadata-Version: 2.4
Name: carbosoft
Version: 0.3.9
Summary: CarboSoft: A Process Design Tool for Gas-Phase Synthesis of Metal Nanoparticles, graphene layeres, and Carbon Nanotubes
Home-page: https://github.com/Hsnrahbar/CarbonX_Package
Author: Hossein Rahbar
Author-email: carbosoftsolutions@gmail.com
Keywords: Carbon Nanotube  graphene Gas-Phase  Nanoparticles  Machine Learning
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Cython
Classifier: Operating System :: Microsoft :: Windows
Requires-Python: >=3.8,<3.12
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy<2.0.0,>=1.24.0
Requires-Dist: scipy<1.14.0,>=1.10.0
Requires-Dist: matplotlib>=3.5.0
Requires-Dist: pandas<2.1.0,>=1.5.0
Requires-Dist: cantera>=2.6.0
Requires-Dist: pyyaml>=6.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
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"CarboSoft" (previously known as "CarbonX") is a specialized Python package designed to model the gas-phase synthesis of nanoparticles in substrate-based chemical vapor deposition (SCVD) and floating-catalyst chemical vapor deposition (FCCVD) reactors. It supports the simulation of the formation and evolution of a wide range of nanoparticle species, including:



\-Carbon nanotubes (CNTs)

\-Graphene layers

\-Carbide and amorphous carbon structures

\-Metallic nanoparticles, such as nickel (Ni) \[DOI: 10.1021/acs.jpcc.2c07776] and iron (Fe) \[DOI: 10.1016/j.jaerosci.2025.106543]



The package (DOI: 10.2139/ssrn.6583783) is primarily intended for plug-flow reactor environments, enabling the prediction of nanoparticle dynamics such as surface growth, coagulation, and agglomeration. These mechanisms are critical for controlling the morphology and properties of carbon-based nanostructures and metallic nanoparticles.



Key Features



\-Modular architecture for flexible kinetic and transport modeling

\-Time- and spatially resolved simulation of particle dynamics

\-Extensible framework that accommodates custom nanoparticle types and reactor designs

\-Research-oriented design suitable for both academic and industrial applications

