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GISMo: A Modeling Software Tool for Predictive and Real-Time Analysis of GISAS…

Award Information

Department of Energy
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
18 d
Solicitation Number:
Small Business Information
Jema Science, Inc
1530 Grand Ave Piedmont, CA 94611-4330
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Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
Phase 1
Fiscal Year: 2011
Title: GISMo: A Modeling Software Tool for Predictive and Real-Time Analysis of GISAS Data
Agency: DOE
Contract: DE-FG02-11ER90211
Award Amount: $150,000.00


The current bottleneck for materials characterization using grazing incidence x-ray/neutron scattering (GISAS) lies in the difficulty of modeling and analysis due to the coupling of complicated dynamical and kinematic effects. Modern x-ray and neutron sources will offer the capability of high-speed, high-throughput data generation, which inevitably demands powerful yet user-friendly modeling and analysis software for in-situ data analysis. Through the development of a commercial software suite, GISMo (Grazing Incidence Scattering Modeler), we will provide a solution that bridges user-friendly, computer assisted modeling with highly efficient computational tools for scattering theory in a dynamic fashion.Commercial Applications and Other Benefits: The initial product will be clearly geared towards GISAS communities around the world, but the expandability of our software suite will allow us to easily include other scientific areas. The basic concept of combining user-friendly modeling tools with an expert program that handles the fundamental physical principles will enable GISMo to be further developed into a General Input Scientific Modeler for accommodating various scientific systems beyond x-ray and neutron scattering

Principal Investigator:

Niansheng Qi

Business Contact:

Xiaodong Ding
Small Business Information at Submission:

Jema Science, Inc
1942 University Ave Ste 306 Berkeley, CA 94704-1244

EIN/Tax ID: 270791377
Number of Employees:
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No