DEFENSE

Systems Digest

17 JUNE 2025

DSIAC collects and publishes articles related to our technical focus areas on the web to share with the DoD community.

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FEATURED ARTICLE

An atomic-scale close-up of the copper-lithium particle, one of many embedded in the microstructure of the nanocrystalline copper-tantalum-lithium alloy. The blue features represent the lithium atoms, the yellow features represent the tantalum atoms encasing the lithium atoms and the orange features represent the surrounding copper matrix. (Lehigh University)

Army Researchers, Academia Create Stronger, More Durable Copper That Could Advance Military Systems

ADELPHI, Md. – U.S. Army researchers, in collaboration with academic partners, invented a stronger copper that could help advance defense, energy, and aerospace industries thanks to its ability to endure unprecedented temperature and pressure extremes. Extreme materials experts at the U.S. Army Combat Capabilities Development Command, known as DEVCOM, Army Research Laboratory (ARL), built on…

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Notable Technical Inquiry

Models and Simulation Demonstrating Cavitation and Hydrodynamic Ram Effects Within Fuel Tanks

The Defense Systems Information Analysis Center (DSIAC) was asked to identify models, simulations, and tools used to model bubble growth, cavitation, and hydrodynamic ram (HRAM) effects within fuel tanks. When a high-velocity projectile penetrates or impacts a liquid-filled container such as a fuel tank, cavitation occurs. The cavity formed in the liquid results in extreme pressure, which may cause the liquid to bubble and eventually…

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FEATURED WEBINAR

An autonomous vehicle flying in space

Attritable Unmanned Aircraft Systems: Conceptualization and Key Players

Air domain operations are critical to the U.S. military defense strategy. Military air domain missions use aircraft for tasks like attack; resupply; rescue; intelligence, surveillance, and reconnaissance; etc. Historically, air domain missions required manned aircraft, putting the aviator at risk. In the 1990s, the military began replacing manned aircraft with unmanned aircraft. Unmanned aerial systems…

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The 2025 NSMMS & CRASTE Symposium

The National Space & Missile Materials Symposium (NSMMS) and the Commercial and Government Responsive Access to Space Technology Exchange (CRASTE), two space focused conferences, will colocate events for the 13th year. These colocated symposia continue…

Warrior East

WARRIOR Expo equips the Warfighter with advanced capabilities to optimize performance and improve readiness while increasing lethality and survivability. Over two days, Warrior attendees receive a crash course in training and equipping the modern Warfighter…

Joint Aircraft Survivability Program (JASP) Model Users Meeting (JMUM) 2025

JMUM HAS BEEN RESCHEDULED FOR AUGUST 5-7, 2025. REGISTRATION IS OPEN. The 2025 Joint Aircraft Survivability Program (JASP) Model Users Meeting (JMUM) will take place at the Georgia Tech Research Institute (GTRI) in Atlanta, Georgia…

Future Force Capabilities Conference & Exhibition

The NDIA 2025 Future Forces Capabilities Conference & Exhibition will discuss how new technologies and capabilities will influence future military operations. The conference will provide a platform for collaboration between the defense industry and military…

Voice From the Community

Paul Schrader - DSIAC SME
Paul T. Schrader, PhD

Research Mathematician, Air Force Research Laboratory (AFRL)

Dr. Paul T. Schrader is a Research Mathematician for AFRL’s Information Directorate>Information Warfare Division>Information Exploitation Branch (AFRL/RIGC). The AFRL/RIGC’s mission is to “discover, research, and apply multi-sensor data processing techniques exploiting advanced technologies to detect, intercept, collect, locate, track, process, and mitigate attenuation/adversarial deception within raw multimodal sensing for high-fidelity signatures and signals intelligence in contested environments.” Dr. Schrader’s key research contributions supporting this mission include the discovery/development of mathematically/topologically informed modality agnostic upstream dynamic data-driven fusion systems for decision speed (collaborative) autonomy leveraging the uniform, explainable, robust, and reproducible capabilities of topological data analysis.

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