SPRINTCAD QUARTERLY SUMMARY

Oct. 1 - Dec. 31, 1996


ORGANIZATION:

Stanford University

SUBCONTRACTORS:

none

PRINCIPAL INVESTIGATORS:

Robert W. Dutton, dutton@gloworm.Stanford.EDU, (415) 723-4138
Kincho H. Law, law@cive.Stanford.EDU, (415) 725-3154
Krishna Saraswat, saraswat@sierra.Stanford.EDU, (415) 725-3610
Peter Pinsky, pinsky@cive.Stanford.EDU (415) 723-9327


TITLE OF EFFORT:

"SPRINT-CAD"---Industry-Networked TCAD using Shared Parallel Computers

RELATED INFORMATION:

The URL for Stanford TCAD projects is: http://www-tcad.stanford.edu/
The URL for the Sprint-CAD project is: http://www-tcad.stanford.edu/sprintcad/

OBJECTIVE:

First-time capabilities to bridge solid modeling, FEM-based parallel computation of fabrication processes and electrical analysis of the resulting IC structures will be developed. Models needed to represent diffusion, etching, deposition, oxidation and stress analysis resulting from a sequence of process steps necessary in the creation of electrical devices will be developed. This effort will provide a radically new HPC framework for technology-based 3D process/device modeling as well as realistic benchmarks to test HPC architectures and software.

APPROACH:

We will build, integrate and test TCAD modules based on an object-oriented approach that both develops and uses information models in support of CFI-based standards. The modules and software engineering methodology will be designed specifically to exploit parallel computers and library components. The 3D process simulation modules will utilize HPC platforms and provide new functional capabilities for "computational prototyping" of the following key technology fabrication steps: 1) deposition/etching module---of special interest are CVD and plasma assisted processes that result in high aspect ratio structures such as trenches and filling/planarization of structures for metal interconnects. Algorithmic work focuses on geometric manipulations and surface evolution. 2) thermal/stress analysis module---that can solve nonlinear constitutive models for key process steps involving growth of dielectric layers and impurity redistribution as well as the resulting stress fields. Advanced formulations for finite elements are being developed that support: parallel computation, adaptive gridding and domain decomposition.

PROGRESS:

It is established that the waveform relaxation technique is stable and efficient for large set of ordinary differential equation (ODE) systems as in circuit simulation. Parallelization based on waveform relaxation is attractive since the calculation on subsystems can be asynchronous. Application of waveform relaxation for partial differential equations (PDE) with subsystems partitioned by domain decomposition with controllable overlap regions is very promising for parallelization of the reactive-diffusive systems, since stability and rate of convergence are directly related to the maximum principle (the ordering principle if the reactive term is strong).

Fast prototyping of new physical models using ALAMODE has been demonstrated for boron diffusion. The new boron model includes reactions of point defects and defect-dopant pairs, considering their charge states, and the dopant inactivation by the introduction of a boron clustering reaction. The six transport equations and complex constitutive models for diffusive and reactive terms have been completely described in the TCL extension language without any modification and compilation of the source code. Rate of convergence and level of accuracy are comparable to the original implementation for the specific model.

Simulation results for oxidation have been demonstrated with finite deformation kinematics and level-set boundary movement. Special incompatible element functions have been used to represent the discontinuity of transport coefficients at the material interface. This algorithm has eliminated the constraint of gridding conformity to the interface, which has caused excessive gridding and sometime failure of convergence in 2D and 3D. The curvature can be accurately calculated and hence the stress analyses for complex structures can be more stable and accurate.

The minimal semiconductor representation (SWR) tries to capture the sufficient set of functions (methods) for TCAD tool communication and functionality sharing. With new inclusion of established software such as EUCLID (unstructured triangular/tetrahedral gridding) in the SUPREM OO7 architecture, applicational procedural interface (API) for geometry/field servers has been slightly modified to efficiently handle multiple volumes and fields. The ALAMODE/server interface has also been finalized.

The level set method for boundary movement is stable and accurate according to our investigation effort in physical model calibration in the previous period. However, since volume grid instead of surface grid is used, computational efficiency has been a concern even if adaptivity is used. Efficiency benchmark on etching/deposition simulation has been established for various physical models and staggering schemes. The most CPU intensive part is at the transformation between boundary representation, which is required only if re-emission or surface diffusion is included. However, the solution of the large linear system of equations dominates the entire simulation when those models are included, and hence the computational penalty using the level set method is not significant.

RECENT ACCOMPLISHMENTS:

FY-'97 PLANS:

TECHNOLOGY TRANSITION:

The test sites of ALAMODE have been continuously growing, with additions of the groups at Texas Instruments, Boston University and MIT. More positive responses on the model flexibility have been fed back to the developers at Stanford. A short course on ALAMODE is planned in the near future.

Gridding has perpetually been a difficult part for practical TCAD applications. Requirements on gridding for accurate 2D/3D simulation have been discussed with Intel, primarily on the MOS transistors and isolation structures. Gridding tools developed at Stanford such as CAMINO and EUCLID, together with the SWR API interface, have been considered for resolving the complex geometry features.


Edwin C. Kan
kan@gloworm.stanford.edu
CIS-X 334, Stanford University, Stanford, CA 94305
Office: (415) 723-9796
Fax: (415) 725-7731

Date prepared: 10/31/96