SBIR/STTR Research Award
Fully Automated Quantum Cascade Laser Design Aided by Machine Learning
Award amount
$139,902Program and phase
STTR · Phase IAward year
2020Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- PENDAR TECHNOLOGIES LLC
- Proposal award date
- 2020-06-24
- Contract end date
- 2020-12-28
- UEI
- EVJWXL9HAYN5
- Solicitation number
- 20.A
- Topic code
- N20A-T003
Research abstract
Pendar Technologies proposes to develop a QCL simulation tools that leverage machine learning to dramatically improve the speed of QCL device design. The innovative QCL design suite proposed will benefit from recent advances made by Pendar in bandstructure engineering, laser cavity design and thermal management at the chip and the package level.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Linking Fentanyl Seizures Using Difference Raman Spectroscopy and Automated Visible Imaging
- Heterogeneous integration of infrared single mode lasers with photonic integrated circuits
- Detection of Synthetic Opioids using AI-Enhanced Difference Raman Spectroscopy
- Quantum Cascade Laser–Based Mid-IR Networking for Naval Platforms
- Multiplexed Integrated Cavity Output Spectrometer Driven by Quantum Cascade Laser Arrays
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Application of Machine Learning to Quantum Cascade Laser Design
- Application of Machine Learning to Quantum Cascade Laser Design
- Fully Automated Quantum Cascade Laser Design Aided by Machine Learning with up to 100X Design Cycle Time Reduction
Research funding history
36 SBIR/STTR records share this UEI (2017–2025). Reported award amounts total $15,172,193. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Homeland Security, Department of Health and Human Services, Department of Energy