DSIAC JOURNAL

Step into the future with the latest advancements and trends in defense.

We blend research with subject matter expertise to provide an outlet for publicly releasable articles on new and emerging science, engineering, and technology within the defense community.

Newest Journal Release

image of a military pilot in the cockpit with digital network lines reflected in his helmet face shield with text DSIAC Journal

Aligning the Navy’s Fleet Experimentation With Capability Development

Screening Low-Flammability Polymers Through Chemistry-Aware ML

Data-Optimized Human-Machine Teaming With Robotic Wingmen

Multiagent Federated Learning, Interoperability, and Virtual-Physical Co-simulation

Seminal Technique for Characterizing GPS Navigation Performance

Latest Articles

Seminal Technique for Characterizing GPS Navigation Performance

This article presents a standardized technique to evaluate the navigation performance (position, velocity, and principal axes) of an airborne system and develop an efficient methodology to define the number of target data points to process during the planning phases of testing.

Multiagent Federated Learning, Interoperability, and Virtual-Physical Co-simulation

The composition of different types of terrains and presence of a variety of objects and artifacts in a real environment are always evolving.

Data-Optimized Human-Machine Teaming With Robotic Wingmen

The 2022 National Defense Strategy directs the U.S. Department of Defense (DoD) to urgently act to strengthen the U.S. military against its pacing challenge—the People’s Republic of China (PRC).

Screening Low-Flammability Polymers Through Chemistry-Aware ML

Marine and aerospace vessels have stringent flammability requirements, defined through the American Society for Testing and Materials (ASTM) E1354 Cone Calorimetry standard [1], to protect those onboard Navy vessels in case of fire emergencies.

(Photo Source: Adobe Stock, Canva, and 123RF)

Aligning the Navy’s Fleet Experimentation With Capability Development

Amidst the crashing surf of a remote coastline, two U.S. Navy sailors clad in black wetsuits and protective helmets carry the MK18 Mod 1 Swordfish unmanned underwater vehicle (UUV) toward the open ocean

UASs in the Modern Electronic Battlefield

With dominance of the electromagnetic (EM) spectrum increasing in importance and U.S. military vehicles and systems being faced with an array of threats from various adversaries, control and management of the EM spectrum will determine where future battles are won or lost. Simultaneously, the use of unmanned aerial systems (UASs) in the battlefield for surveillance, targeting, and weapons delivery continues to rise.

Graph of Data Exchange Between Structured and Unstructured Mesh

Using Machine Learning for a Dynamically Coupled Fluid-Structure Interface

A dynamically coupled interface has been developed to determine the three-dimensional transient thermo-structural response of the hypersonic vehicle during its flight. Dynamic coupling is required when the change in aerothermal state, surface temperature, ablation, mass/momentum/energy transfer at the surface, and shape change of a hypersonic vehicle due to the thermal loading from the aerothermal environment couples with the structural solver. This results in a strong coupling between the two codes.

Microdiode Laser Primers – A Path Forward

The concept of using lasers to ignite propellant and energetic material is not new. At the U.S. Army Combat Capabilities Development Command-Armaments Center (DEVCOM-AC) at Picatinny Arsenal, NJ, the Army explored efforts to use external mounted lasers for medium- and large-caliber weapons systems, with modest success in the 1980s through 2010.

BostonDynamics Spot with readings of what is considered hazardous to autonomous robot

Perception and Navigation Algorithms for Legged Robots

Mobile robots, equipped with wheels, tracks, or legs, are designed to move from a start location to a goal in various indoor and outdoor environments. A key area of interest is making them capable of autonomously navigating diverse environments.

Analysis of Powder, Bullet, and Barrel Interactions

All ammunition makers and reloaders “know” that changing propellant type can affect the group size (dispersion) of the ammunition they make. Why changing powders affects bullet group size is more than a matter of propellant burnout prior to muzzle exit or some other easily definable characteristic. This article details the investigations undertaken to better understand this phenomenon and why it occurs.

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DSIAC JOURNAL

Step into the future with the latest advancements and trends in defense.

Newest Journal Release

Aligning the Navy’s Fleet Experimentation With Capability Development

Screening Low-Flammability Polymers Through Chemistry-Aware ML

Data-Optimized Human-Machine Teaming With Robotic Wingmen

Multiagent Federated Learning, Interoperability, and Virtual-Physical Co-simulation

Seminal Technique for Characterizing GPS Navigation Performance

Latest Articles

Seminal Technique for Characterizing GPS Navigation Performance

Multiagent Federated Learning, Interoperability, and Virtual-Physical Co-simulation

Data-Optimized Human-Machine Teaming With Robotic Wingmen

Screening Low-Flammability Polymers Through Chemistry-Aware ML

Aligning the Navy’s Fleet Experimentation With Capability Development

UASs in the Modern Electronic Battlefield

Using Machine Learning for a Dynamically Coupled Fluid-Structure Interface

Microdiode Laser Primers – A Path Forward

Perception and Navigation Algorithms for Legged Robots

Analysis of Powder, Bullet, and Barrel Interactions

Previous Journals

Volume 9 Number 2

Volume 9 Number 1

Volume 8 Number 2

Volume 8 Number 1

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