CVD Reactor based Atomistic Deposition Processes

Atomistic TNL Epitaxial Material Growth CAD Software accelerates CVD deposition processes by using atomistic simulations based on physics and kinetic Monte Carlo (kMC) algorithms. This approach enables real-time replication of deposition experiments without relying on continuum models or partial differential equations.


Reactor Inputs

Reactor Geometry


Substrate Symmetry


Substrate Orientation


Precursors database


Carrier gases database


Flow rates


Gas phase kinetics


Surface Phase kinetics


Chamber & Substrate Temperature, Pressure


Chamber Pressure


Physics

Schwoebel-Enrich barrier


Incorporation barrier


Nearest neighbor energy


Arrehnius based chemical kinetics


Transition State Theory


Fick's law


Leonard-Jones parameters


Chapman-Enskog theory


Schmidt number


Laminar Boundary


Outputs

Growth Rate


Average Surface Roughness


Lattice Parameter of each & every atoms


Average Strain


Void or Vacancy density


Interstistials density


Line defect density


Stacking Faults density


Mole fraction


Lattice Constant


Download TNL-CVD Reactor
The steps details of CVD process

Reactant gases transportation into the reaction chamber,

Reactant gases diffusion through the gaseous boundary layer to the substrate

Formation of intermediate reactants from reactant gases

Absorption of gases onto the substrate surface

Single or multi-step reactions at the substrate surface

Desorption of product gases from the substrate surface

Forced exit of undesired product gases from the system

Benefits

Reliable coupled algorithms: kinetics of gas and surface phase reactions and the kinetic Monte Carlo (kMC) method
Computationally efficient to enhance the CVD deposition process and to analyze the thin film morphologies at the atomistic scale
Closed-loop operational strategy to enhance the quality of films and minimize the variability between batches due to drift
In-depth atomistic insights and understanding of chemical kinetics, including adsorption, hopping, diffusion, and desorption, with diverse output data across various input conditions
Optimize chemical kinetics and deposition parameters, including precursor and carrier gas flow rates, to improve the quality of thin films and epitaxial growth.
Reducing manpower and costs speeds up the transition from development to production for new growth processes


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