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U.S. Air Force Office of Scientific Research·United States of America

AFRL/AFOSR-Taiwan NSTC Frontiers in Materials and Nanostructures: AI-Driven Discovery, Quantum Geometry, and Energy-Efficient Information Technologies 2027-2030

Closes 2/19/2027$150k – $450kGrants Notice
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Description

This three‑year, US‑Taiwan collaborative research program funds basic science in AI‑driven materials discovery, quantum‑geometry‑enabled solids, and energy‑efficient information technologies. Teams must consist of one US investigator (from a university or DoD lab) and one Taiwanese investigator; they submit a joint pre‑proposal (white paper) by 18 Nov 2026, and up to 20 selected pairs submit full proposals by 19 Feb 2027. Funding is up to $150 k per year for each US PI (total $450 k over three years), with matching funds from Taiwan’s NSTC. Awards are expected to start Oct 2027 and run through Oct 2030, with annual joint program reviews and required technical reporting. • Open competition – any eligible US‑Taiwan research pair may apply. • Pre‑proposal (3‑page white paper) due 18 Nov 2026; full proposal due 19 Feb 2027. • Funding: up to $150 k/yr (US side) for three years; total US budget ≈ $1.2 M/yr across all awards. • Research focus: physics‑informed AI for materials discovery, low‑power nanostructured devices, and quantum‑geometry studies. • Mandatory annual joint reviews; final award notice by 30 Apr 2027.

Attached files

Contact

Alexander Kamrud(Program Coordinator)

[email protected]

(703) 588-8494

Key dates

Opened
10/28/2026
Closes
2/19/2027
Projected award
4/30/2027
Duration
3 years

Last updated

Details

Type
Grants Notice
Industry
Engineering Services
NAICS
541713
Solicitation №
FA955027S0002

Budget estimate

$150,000 – $450,000

Each awarded US team can receive up to $150,000 per fiscal year for three years, totaling a maximum of $450,000 per award. The program anticipates funding roughly 8–20 US teams, so individual award values will range from the minimum $150,000 (one‑year commitment) to the full $450,000 three‑year commitment. The estimate reflects the stated yearly ceiling and the three‑year project period.

AI estimate from the solicitation

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