Process Design Tool for Gas-Phase Synthesis of Metallic Nanoparticles, Carbon Nanotubes, and Graphene Layers
Project description
CarbonX
CarbonX is an object-oriented Python package for simulating floating-catalyst chemical vapor deposition (FCCVD) reactors and predicting the gas-phase synthesis of metallic nanoparticles, carbon nanotubes, and graphene.
OVERVIEW
Carbon nanotubes (CNTs) exhibit exceptional electrical, optical, and mechanical properties, making them key materials for applications in energy storage, sensing, and advanced composites.
CarbonX provides a modular and extensible simulation framework to model CNT growth by capturing the interactions between chemical kinetics, catalyst evolution, and particle dynamics.
KEY FEATURES
- Object-oriented design
- Fully coupled multiphysics simulation
- Modular and extensible architecture
- Supports CNTs, graphene, amorphous carbon, and metal nanoparticles (e.g., Fe, Ni, Co)
- Time- and space-resolved simulations
- Integrated machine learning module for process optimization
ARCHITECTURE
Chemical Kinetics Models gas-phase reactions.
Surface Kinetics Handles catalyst activation, deactivation, and hydrogenation.
Particle Dynamics Simulates nanoparticle inception, growth, coagulation, and sintering.
CNT Dynamics Predicts CNT length, diameter, and wall number.
MACHINE LEARNING MODULE
Analyzes parametric maps to identify optimal synthesis conditions such as temperature, pressure, and catalyst concentration.
EXTENSIBILITY
Users can integrate custom:
- Gas-phase mechanisms
- Surface kinetics models
- Particle or CNT growth models
CONTACT
Hossein Rahbar Email: rahbar.hosein@gmail.com
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