VICTORY PROCESS Full Physical 3D Semiconductor Simulator
VICTORY Process – 3D Process Simulator VICTORY Process provides the capability to simulate comprehensive full process flows Etching, Deposition, Lithography Oxidation, Stress Implantation Diffusion Self explanatory process flow description Based on ATHENA syntax Open interface for modeling Model parameters and functions can be accessed and modified Open C-code is used to implement the model functions Pre-compiled library is provided Makefile to create an extend model library is provided - 2 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Numerics Level set based framework for structure representation and for interface propagation Very stable surface propagation algorithms Important for Etching, Deposition, Oxidation Based on the multi-layer structure concept Automatic void detection Avoids the problem of loop creation and correction - 3 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Meshes VICTORY Process uses two types of meshes Hierarchical Cartesian mesh for implicit geometry representation Irregular Cartesian mesh for volume data representation Doping, Stress, ..... Manual and automatic mesh refinement Manual refinement of the geometry mesh Automatic refinement of the geometry mesh Automatic set-up of volume data mesh Manual refinement of the volume data mesh - 4 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Etching/Deposition/Lithography Comprehensive mask support GDSII – format masks lay – format masks (MaskViews) Definition of mask polygons inside the processing deck Mask variations via the deck (shrink and expand) Selection of a simulation window Lithography Calculation of aerial images Pattern transfer of aerial images - 5 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Etching/Deposition/Lithography (con’t) Geometrical Etching Idealized directional mask pattern or image transfer Pattern transfer with tilted sidewalls and rounded corners Idealized isotropic, dry and directional etching Selective and non-selective mode Fast structure prototyping - 6 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Etching/Deposition/Lithography (con’t) Geometrical Deposition Idealized vertical resists or material regions defined by a mask Idealized conformal deposition Deposition of features with tilted sidewalls and rounded corners Planarisation mode to partially fill holes - 7 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Etching/Deposition/Lithography (con’t) Geometrical CMP Idealized planarization Selective and non-selective mode Non-Selective Selective - 8 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Etching/Deposition/Lithography (con’t) Physical Etching Selective etching of several materials Comprehensive set of default models Selective Etching Isotropic, Anisotropic, Directional Crystal orientation dependent Plasma Etching Ion-Milling Material dependent yield functions Re-deposition (material dependent efficiencies) Rotating beams, static beams, divergent beams Reactive Ion Etching Deep Reactive Ion Etching Ballistic transport of reactants High performance due to multi-threading Near linear speedup on multi-core machines - 9 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Etching/Deposition/Lithography (con’t) Ion milling with re-deposition - 10 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Etching/Deposition/Lithography (con’t) Physical Deposition Comprehensive set of default models Conformal Deposition Non-conformal Deposition Directional Deposition Selective Deposition Empirical epitaxial growth Ion beam deposition User accessible yield functions Rotating beams, static beams and divergent beams Sputter deposition Ion assisted sputter deposition Ballistic transport of reactants High performance due to multi-threading Near linear speedup on multi-core machines - 11 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Etching/Deposition/Lithography (con’t) Ion beam deposition with tilted beam - 12 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Etching/Deposition/Lithography (con’t) Physical Etching and Deposition - Open modeling system Open C-function model library User definable transport characteristics ( flux model ) Define particles involved in the process Determines how the reactants approach the wafer surface Determines how the reactants are re-emitted from the surface User definable surface reaction ( surface reaction model ) Determines how the local etch rate is calculated User definable etching / deposition models ( topography model ) Defines the link between particle transport and surface reaction C-function models for material characteristics Etch rates, conformity, anisotropy, sticking efficiency Technological models (e.g etch rate versus gas flow) - 13 - Full Physical 3D Semiconductor Simulator
Modes for Flux Calculation Primary-Ballistic Mode: Only particles approaching the surface directly from the reactor chamber (primary particles) are taken into account The velocity distribution function of the primary particles in the vicinity of the wafer is a modeling function definable by the user - 14 - Full Physical 3D Semiconductor Simulator
Modes for Flux Calculation (con’t) Reflective-Ballistic Mode: Along with primary sources (reactor chamber) also secondary sources (particles reflected or emitted from surface) are taken into account. The velocity distribution function of the primary and secondary particles are modeling functions definable by the user - 15 - Full Physical 3D Semiconductor Simulator
Modes for Flux Calculation (con’t) Rate-Coupled-Reflective-Ballistic Mode: Along with primary sources (reactor chamber) also secondary sources (particles reflected or emitted from surface) are taken into account. The velocity distribution function of the primary and secondary particles are modeling functions definable by the user The amount of secondary particles is a function of the rate (e.g redeposition) - 16 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Ion Implantation – Analytical Analytical and Monte-Carlo methods for ion implantation Analytical method uses a well established database for a wide range of implantation conditions Gaussian profiles, Pearson profiles and Dual Pearson profiles User definable profiles By means of moments of the profile By means of data files Range scaling techniques are applied to take into account multi- material layers High performance due to Very efficient numerical algorithms Efficient multi-threading - 17 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Ion Implantation – Monte-Carlo Monte Carlo method is more appropriate For complex geometries For large tilted implants because many effects cannot be accounted for by even the most elaborated analytical procedure Monte Carlo method takes into account all important implantation effects: Ion channelling Ion dose dependency due to damage accumulation Effect of multiple layers of different materials Partial shadowing of ion flux for tilted implants Multiple ion reflections within structures with complex 3D geometry Lateral ion scattering from mask walls or so-called implantation proximity effect - 18 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Ion Implantation – Monte-Carlo (con‘t) Is completely physically based Uses best available electronic and nuclear stopping models Acceleration techniques Trajectory splitting High performance due to efficient multi-threading - 19 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Ion Implantation – Monte-Carlo (con‘t) Implant at tilt 50 degrees and twist along structure’s diagonal. 5 million trajectories can be simulated in a few minutes on an 8 core machine - 20 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Ion Implantation – Monte-Carlo (con‘t) Ion distribution in silicon Primary, i.e. direct impact implantation Shadowed, i.e. secondary impact implantation Implant at tilt 50 degrees and twist along structure’s diagonal. All geometrical effects are taken into account - 21 - Full Physical 3D Semiconductor Simulator
VICTORY Process – Annealing/Diffusion Based on an Open Modeling System PDE system is extendable by the user Modelling species can be added Reactions between species can be extended and modified Comprehensive set of default models Direct, Fermi, FullCPL, Single-Pair, Five-stream Dopant activation and solid solubility Impurity segregation at material interfaces Point defect trapping Point defect clustering Concurrent simulation of several impurities - 22 - Full Physical 3D Semiconductor Simulator
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