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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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