# Joint DoW/DOE Munitions Technology Development

**R-2A activity** of project 225 — Joint DOW DOE Munitions  
**Program element:** 0603225D8Z — Joint DoD-DoE Munitions Technology Development  
**Component:** Defense-Wide · **Budget Activity:** 3  
**Vintage:** President's Budget PB2027  
**Canonical URL:** https://hitchintel.com/programs/0603225D8Z/225/a0  
**Parent:** https://hitchintel.com/programs/0603225D8Z

## Summary

This activity requests $22.7M in FY2027, 50% of project 225, up 24% on FY2026. The R-2A exhibit describes it across FY2025–FY2027, including what the FY2027 money is planned to buy.

## What the FY2027 request buys

**FY2027 planned work.** • Continue discovery and development of advanced energetic materials. • Continue development of fast running modeling capabilities for fire initiation and cascading ignition for maritime applications • Advance modeling & simulation capabilities for munitions analyses; refine high-fidelity capabilities in simulating lethality scenarios; and develop high-fidelity models to rapidly design, optimize and assess new munitions concepts. • Develop artificial intelligence models for predicting damage models for munitions and predicting the survivability of different explosives in extreme conditions. • Model and develop high-performance high-power fuzing technologies, increasing reliability and enabling more complex munitions and engagements. • Continue execution of classified technology development project.

**FY2026 to FY2027 change.** The increase of $4.383 million between FY 2026 and FY 2027 begins to restore the buying power of the program. This allows for additional munitions technology development.

## Before the request year

**FY2026 plans — current year.** • Develop physics-based models enabled by machine learning technology against hard and deeply buried targets. • Develop optical fragment measurement techniques with higher-fidelity, lower cost, higher throughput for DoW munition design and testing • Improve advanced reactive flow modeling capabilities to capture physics critical to assessing munition survivability and performance in extreme conditions. • Develop AI-informed additive manufactured Multi-Principal Element Alloys (MPEAs) possessing enhanced material and functional properties for munition structure performance under extreme conditions. • Improve material models and codes applicable for metallic materials for reliable simulations and warhead performance and lethality assessment. • Design multi-fidelity aerodynamics capability that uses techniques to construct an aerodynamics database that concentrates on calculations that will significantly speed up design work. • Demonstrate the use of X-Ray Diffraction to measure the thermodynamic behavior and late time burn of combined effect explosives to enable optimization of munitions with advanced energetics warheads. • Simplify the process to build robust fast-running models for lethality of emerging targets, munitions, and engagement scenarios and enable the rapid assessment of munition & target effects. • Develop a rapid, computation-driven capability to accelerate discovery and development of alloys that satisfy performance and manufacturing scale-up needs. • Design and fabricate supercapacitors with significantly improved performance and boost power available to munitions’ electronics, freeing up space for other advances in munitions function.

**FY2025 accomplishments.** • Develop high fidelity simulations of combined effects explosive (CEX) warheads using recently validated main charge reactive burn models. • Develop macroscale reduced-order failure model for metals with documentation for transition to DoD. • Develop and evaluate prototype low temperature-compatible supercapacitor technology with 10x energy density over the state-of-the-art. • Demonstrate a new modeling and simulation capability for ship defeat in support of maritime lethality efforts. • Demonstrate capability to measure surface chemistry of thermal protection system (TPS) materials in hot, hypersonic flow representative of the aerodynamic shear and extreme heating rates found in hypersonic flight. • Demonstrate a suit of machine learning algorithms for a counter-unmanned aircraft system (CUAS) platform capable of autonomous detection, classification, tracking, and intercept of next generation UAS threats. • Deliver next generation shock-hydro-structure modeling and simulation (M&S) capability enabling blast loading of structures with complex internal components, blast induced material failure, and munition response during impact and penetration events.

## Funding

| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 19.2 |
| FY2026 | Enacted | 18.3 |
| FY2027 | Request | 22.7 |

> Prior, current and budget year only — an R-2A activity carries no five-year plan. It sums exactly into its project in the request year and not necessarily in any other.

## Other activities in project 225

- Technology Development Support — FY2027 19.7
- Munitions - Affordable Cruise Missile Development (U) — FY2027 3.0

## Source & machine access

- **Source:** FY2027 Office of the Secretary of Defense RDT&E Budget Justification, Exhibit R-2A, PE 0603225D8Z project 225 (PB PB2027). Narrative is the government's own text.
- **No marks, no contractors at this grain** — congressional marks land on the program element and R-3 performers on the project.
- **MCP:** `mcp.hitchintel.com` — `budget_get_activity`.

*HitchAI is an independent intelligence service, not affiliated with the U.S. Department of Defense. Budget figures are requests/estimates, not obligations.*