Opportunity Information: Apply for BAA RV 10 01 011
The Air Force Research Laboratory (AFRL) has announced a funding opportunity titled "A Computationally Efficient Method for High Energy Charged Particle Transport." This call is focused on enhancing public domain Monte Carlo radiation transport codes to better study the interactions between space radiation and space hardware or astronauts. The aim is to develop a more efficient algorithm as an alternative to existing methods for simulating energetic charged particles like electrons, protons, and heavier ions.
Key details include a proposed funding plan for fiscal years 2011 through 2016 totaling approximately $500,000, with a performance period expected to last 60 months. Proposal submissions are due by 12 Noon MST on January 21, 2011, and must be submitted either as a hard copy or electronically through the Grants.gov portal.
The Air Force anticipates awarding a grant to one or more applicants, but the final decision will depend on the proposals received. Interested parties are encouraged to notify the contracting point of contact of their intent to propose. A final report will be required upon the completion of any awarded project.
For further inquiries, Dr. Judy Fennelly serves as the technical point of contact, while Mr. Francis Eggert and Ms. Jean Barnes are the contracting points of contact. Interested applicants should review the attachments provided for proposal preparation guidelines and required documentation.Apply for BAA RV 10 01 011
- The Air Force Research Lab in the science and technology and other research and development sector is offering a public funding opportunity titled "A Computationally Efficient Method for High Energy Charged Particle Transport" and is now available to receive applicants.
- This funding opportunity was created on Dec 14, 2010 and posted on Dec 14, 2010.
- Applicants must submit their applications by Jan 21, 2011 NOON MST. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2025.)
- The funding agency has allocated a total of $500,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $500,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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