SBIR/STTR Research Award

A COMPUTATIONAL MODEL FOR THE DISCHARGE PHYSICS AND CHEMISTRY IN PLASMA PROCESSING

Award identifier 98d8c40a5f2643b0a71c3fa7c274b0b9467c8c60811430ded52afe912c4cb0ebAwarding agency Department of Commerce

Award amount

$200,000

Program and phase

SBIR · Phase II

Award year

1993

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Commerce
Branch
Not reported
Recipient company
SCIENTIFIC RESEARCH ASSOC., INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

PLASMA PROCESSING HAS BECOME AN IMPORTANT TECHNIQUE IN SEMICONDUCTOR DEVICE FABRICATION. IN ORDER TO IMPROVE PROCESS REPRODUCIBILITY AND DEVELOP PROCESS AND QUALITY CONTROL, THE GEC REFERENCE CELL HAS BEEN CHOSEN AT NIST AS THE EXPERIMENTAL STANDARD REACTOR WHICH IS DESIGNED TO ADVANCE THE NEXT GENERATION PLASMA PROCESSING EQUIPMENT. THE PROPOSED EFFORT ADDRESSES DEVELOPMENT OF A COMPREHENSIVEPREDICTIVE MODEL FOR PLASMA PROCESSING WHICH IS A NECESSARY ADJUNCT TO EXPERIMENTS AT NIST AND OTHER PLACES. THE MODEL WILL INCLUDE APPROPRIATE DISCHARGE PHYSICS AND CHEMISTRY. BOTH FLUID SCHEMES AND KINETIC SCHEMES WILL BE EXPLORED IN THE MULTI-PHASE EFFORT. THE KINETIC SCHEME INVOLVES AN INNOVATIVE APPROACH WHERE THE LIOUVILLE EQUATION - WILL BE SOLVED IN COORDINATE REPRESENTATION. THIS REQUIRES MUCH LESS COMPUTATIONAL RESOURCES THAN ANY OF THE CURRENT KINETICSCHEMES, SUCH AS PARTICLE-IN-CELL METHODS. IN PHASE I, A FLUID SCHEME BASED ON THE THREE MOMENTS OF THE BOLTZMANN EQUATION WILL BE USED ALONG WITH COLLISION DATA FROM A MONTECARLO SCHEME. INNOVATIVE COMPUTATIONAL SCALING WILL BE UNDERTAKEN TO ACCELERATE CONVERGENCE OF THE COMPUTATION. THE MODEL RESULTS WILL BE VALIDATED BY COMPARING AGAINST NIST REFERENCE CELL MEASUREMENTS. IT IS EXPECTED THAT THE PROPOSED MODEL WILL PROVIDE INSIGHT INTO VARIOUS MECHANISMS AND SERVE AS A COST-EFFECTIVE DESIGN TOOL IN DEVELOPING EQUIPMENT AND REPRODUCIBLE PROCESSES.

Technology keywords

Not reported

Agency intelligence

Department of Commerce

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.