Thin Film Growth Simulation Using Cellular Automata, State Space, and Neural Nets Methods

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,703.00
Award Year:
1998
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
40977
Agency Tracking Number:
40977
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
5375 Oakvista Place, Kettering, OH, 45440
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Dr. Allen Jackson
(937) 436-3531
Business Contact:
() -
Research Institute:
n/a
Abstract
Simulation of thin film growth is an essential aspect of developing new materials engineered to specific properties and defining the processing sequence required to produce the film. Software available to simulate such growth requires high end computer performance, and the programs are designed for use by experts in thin film growth who are interested in studying the mechanisms of nucleation and growth. Identifying processing parameters and control parameters suited to producing films is not a focus of these computer programs. Thus, the first issue is reducing the computational burden in simulation. The second issue is ease of use and suitability of display of the simulation in a timely manner for the user. AvXm proposes to demonstrate that the NanoModeler system as a thin film simulation system is suitable for enhancing the design of engineered materials and for developing process sequences for manufacturing the films. Important aspects of the NanoModeler system are the visual display, simple user interface, substrate design capability, archiving capability of simulations, and reduction of computational complexity. The unique combination of methods we have created represents a new approach to simulation not available presently on desktop level computers.

* information listed above is at the time of submission.

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