SERDP ER21-1019 - A QUANTUM CHEMICAL - MACHINE LEARNING APPROACH FOR THE PREDICTION OF THERMAL PFAS DESTRUC…
Award details are derived from public USAspending.gov records linked to this contractor. Not a bid recommendation.
Award details
- Award ID
- W912HQ22C0022
- Contractor
- COLORADO STATE UNIVERSITY
- Awarding agency
- Department of Defense
- Sub-agency / office
- Department of the Army
- Award amount
- $553,061
- Period of performance
- Apr 15, 2022 – Apr 15, 2027
- Place of performance
- FORT COLLINS, CO, 805212807, USA
- Competition
- FULL AND OPEN COMPETITION · Set-aside: NO SET ASIDE USED. · 86 offers
- Pricing
- COST NO FEE
- Financial breakdown
- Current value $553,061 · Obligated $553,061 · Potential value $553,061 · Latest action obligation $0 · Outlays $8,998
Public award description
SERDP ER21-1019 - A QUANTUM CHEMICAL - MACHINE LEARNING APPROACH FOR THE PREDICTION OF THERMAL PFAS DESTRUCTION
Related intelligence
- Contractor: COLORADO STATE UNIVERSITY
- Agency: Department of Defense
- Federal market intelligence software
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Recompete monitoring
Awards approaching a documented period-of-performance end date. Related forecasts or opportunities are linked only when explicit references or strong deterministic signals match — expiration alone is not a confirmed recompete.
- Period ends
- Apr 15, 2027 (174 days)
- Evidence status
- OPPORTUNITY IDENTIFIED
- Evidence score
- 50 (deterministic, not pWin)
- Opportunity evidence
- Matched opportunity
Supporting evidence
- FACT: Award period end date — 2027-04-15
- FACT: Award start date — 2022-04-15
- DERIVED: Days until period end — 174
- FACT: Award recipient (incumbent on this award) — COLORADO STATE UNIVERSITY
- FACT: Awarding agency — Department of Defense
- FACT: Award amount (obligated/total as stored) — 553061