Growth, Assembly, Nanoelectronics and Translation Ecosystem
Overview
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SUMMARY
KEY REQUIREMENTS
BUDGET
VerifiedCONTRACT DURATION
TIMELINE
Issue Date: September 17th, 2026
Questions Due: October 15th, 2026
Proposal Due Date: December 18th, 2026
QUESTION DEADLINE
CONTACTS
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Issuing Agency
National Science Foundation
DESCRIPTION
A government authority in Virginia is seeking a vendor to provide a growth, assembly, nanoelectronics, and translation ecosystem supporting the advancement of microelectronics technologies. The effort is intended to translate advanced microelectronics technologies into next-generation capabilities for artificial intelligence, high-performance computing, advanced communications, and other areas important to national security and economic competitiveness.
The vendor will configure and administer a shared AI/ML platform for ELEGANT using existing infrastructure rather than developing a new platform from scratch. The platform is expected to provide common data schemas, model registries, and application programming interfaces, allowing participants to contribute data and consume model outputs without duplicating infrastructure investments.
The work also includes developing and applying AI/ML models for materials-property prediction and synthesis-parameter optimization. Additional modeling activities will address etching, dielectric, passivation, and doping processes, including dopant-host screening and development of doping strategies.
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Frequently asked questions
- When is the submission deadline?
- Submissions are due December 18, 2026. Questions must be submitted by October 15, 2026.
- What is the budget for this RFP?
- The published budget is $150,000,000.
- Who issued this RFP?
- It was issued by National Science Foundation. The work is located in Alexandria, Virginia, United States.
- Who is a good fit for this opportunity?
- Advanced microelectronics and nanoelectronics technology provider
- AI/ML engineering firm experienced with scientific and materials modeling
- Experience administering shared data platforms, model registries, and APIs
- Expertise in semiconductor fabrication processes, including etching, dielectric, passivation, and doping
- Track record supporting national security, high-performance computing, or advanced communications programs
Analysis generated by Settle AI from the source RFP.
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.