- Home
- Browse
- Department of Defense — OSD
- OSW26BZ05-DV014
OSD OSW26BZ05-DV014 — In-Situ Metrology for Mesa-Wall Integrity in Large Format Small-Pixel Infrared Detector Array Fabrication
- Deadline
- 2026-09-23
- 20 days left
- Award ceiling
- —
- Awards
- —
- Posted
- 2026-08-26
Summary
Develop, demonstrate, and implement a prototype functional tool with non-destructive, quick-turn, full-wafer screening capability to assess surface damage during the fabrication of small-pixel infrared detector arrays.
The rest of this announcement — free with an account
- →The full announcement text, not the first two sentences
- →All 3 review criteria reviewers score this against, extracted from this announcement
- →Whether you are eligible — career stage, institution type, and the windows that close before the deadline does
- →What similar funded projects received, from 219,000 past awards
No card required. Browsing and your first match are free.
More from Department of Defense — OSD
See all →OSD OSW26TZ05-NV003 — High Throughput Wafer Scale Manufacturing of Custom Achromatic Infrared Meta Optics
Develop cost effective, high throughput wafer scale manufacturing processes for custom achromatic meta optic components operating in the mid wave infrared (MWIR, 3–5 µm) or long wave infrared (LWIR, 8–14 µm) spectral bands.
3 review criteria on fileOSD OSW26BZ05-DV022 — Signal Classification and Anomaly Detection in Contested Spectral Environments
To develop and demonstrate a flexible, scalable, and robust Machine Learning (ML)-based software processers capable of running on COTS platforms to identify and classify known and unknown Radio Frequency (RF) signals in complex, contested spectral environments.
3 review criteria on fileOSD OSW26BZ05-NV016 — Desktop Instrument for Measuring Boresight Error as a Function of Incident Angle
A benchtop instrument that measures boresight error and boresight error slope as a function of window temperature, temperature gradient, and angle of incidence
3 review criteria on fileOSD OSW26BZ05-DV018 — Artificial Intelligence / Machine Learning (AI/ML)-Based Radar Data Compression
g. autoencoders or transformer models) to compress raw radar data into low-bit representations for efficient storage/transmission, with reconstruction that preserves radar utility.
3 review criteria on fileAlso in sbir
ARMY ARM26BX03-NP006 — xTech|Inversion Competition
S.S.
3 review criteria on fileNAVY DON26BZ05-NV069 — Wearable Real-Time Command-and-Control Interface for Enhanced Naval Situational Awareness
Develop, demonstrate, and deliver a production-ready, wearable, real-time Command-and-Control (C2) interface utilizing Mixed Reality (MR) technology with spatial anchoring that integrates and fuses multi-domain naval sensor data from Joint All-Domain Command and Control (JADC2).
3 review criteria on fileNAVY DON26BZ05-NV074 — Automated Post-Mission De-Brief and Re-Planning for Collaborative Combat Aircraft (CCA) Missions
Develop automated capabilities for post-mission debriefs that enable rapid re-planning for future missions.
3 review criteria on fileOfficial announcement: https://www.dodsbirsttr.mil/topics-app/?topicId=0f62c150fe5e41dcb7abbc2a0db861eb_86615Source: dod_dsip. Always confirm dates with the funder.