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Supporting Multi-Physics Workflows for Particle Accelerator Simulations

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-SC0013884
Agency Tracking Number: 218777
Amount: $149,999.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 26b
Solicitation Number: DE-FOA-0001227
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-06-08
Award End Date (Contract End Date): 2016-03-07
Small Business Information
28 Corporate Drive
Clifton Park, NY 12065-8688
United States
DUNS: 010926207
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Robert O'Bara
 (518) 371-3971
Business Contact
 Charles Weatherford
Title: Dr.
Phone: (518) 371-3971
Research Institution

As high energy physics accelerator systems grow more complex, and the technological challenges greater, the DOE HEP program seeks to develop advanced technologies that can be used to reduce the overall system cost, and to develop new concepts and capabilities to further scientific and commercial needs. One promising approach is to use sophisticated computer modeling and simulation tools, which are being developed to address complex physical phenomena due to combined electromagnetic, thermal and mechanical effects. This requires integration applications that readily manage the many assets files, parameters, models, and so on) that the computational process necessarily generates, and provides easy-to-use GUIs. A customizable software application based on the Computational Model Builder CMB) for accelerator modeling and simulation is being developed to address the needs of multi-physics workflows. CMB is an open-source framework designed to support the creation of customized applications for numerical simulations. CMB will be extended for advanced accelerator design, simulation and optimization by supporting multi-physics workflows, enabling simple management of high performance computing resources, and tight integration across pre-processing, simulation, and post-processing tasks using scalable computing architectures.

Particle accelerators are essential to scientific discovery as they advance our understanding of the fundamental properties of matter, energy, space and time. Opportunities exist to design new accelerators which can promote innovation and develop new products and services. Because the system developed here is released under open-source software, the resulting work will facilitate the creation of extended research communities, and provide a commercialization strategy based on services and customization.

* Information listed above is at the time of submission. *

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