Researchers at UCLA have discovered Majorana particles, which are critical building blocks for quantum computers due to their resistance to external interference. The discovery could lead to the development of robust topological quantum computing and potentially improve situational awareness for the US Army.
Researchers at Brandeis University have engineered soft materials with embedded chemical networks that mimic the behavior of neural tissue, paving the way for autonomous soft robotics and dual sensors. The breakthrough material may also lead to artificial skins and exoskeletons.
Researchers at U.S. Army Research Laboratory have developed a way to factor large composite integers using brain-inspired computer architectures, moving away from traditional computing methods. This breakthrough could break many modern-day internet security protocols, including public key encryption.
Researchers created a method to formulate a sequence of yes/no questions that rapidly achieves the best answer, enabling robots to maintain continuous conversation with humans. The study's findings have potential applications in machine-machine questioning and human-robot teaming.
Scientists are working on novel solid state electrolytes to enhance battery energy density and reduce weight. Improved non-flammable and low-cost electrolytes have great potential for lithium metal technology, resulting in increased energy density and lighter batteries.
A multinational research team led by Army scientists successfully induced a controlled release of stored isotopic energy using a physical effect involving atomic electrons. This achievement marks a step in the Army's quest for alternative energy sources for new types of batteries.
Researchers at Cornell University developed a novel analytical technique to visualize polymer chain growth in real-time. By combining magnetic tweezers, optical microscopy, and spectroscopic techniques, they discovered that individual polymer chains undergo consecutive wait-and-jump steps.
Researchers at U.S. Army Research Laboratory and University of Texas at Austin developed a new algorithm called Deep TAMER to train robots using human feedback. The algorithm enables robots to learn tasks in a short amount of time with accurate critique, improving performance on complex tasks like Atari Bowling.
US Army Research Laboratory scientists improved chemical yield of diaminoglyoxime (DAG) synthesis by 80%, increasing material production per reaction. The new method reduces heat release, minimizing explosion and combustion hazards.
Researchers developed the Situation awareness-based Agent Transparency model to enhance agent transparency, improving human-agent team performance. Higher levels of transparency led to better trust calibration and overall team effectiveness.
Researchers have created an environmentally friendly red light flare using a lithium-based pyrotechnic composition, avoiding hazardous elements like strontium and chlorinated organic materials. The new formulation shows high color quality and purity, and the team plans to further optimize its luminosity.
Researchers developed a human agent's opinion model to make decisions by aggregating evidence under uncertainty. A small fraction of agents propagating true information can significantly help mitigate false information propagation, making it an important national security problem.
A US Army Research Laboratory researcher has won a best paper award at an internet conference in Thailand for his work on NDN fuzzy interest forwarding. The technique enables discovery and retrieval of data using approximate knowledge of the data namespace, alleviating the need for exacting name matching.
A team of Army scientists published new findings on modeling insights into battery electrolyte structure and stability, highlighting the importance of tailoring electrolytes to support fast and reversible lithium transport. The research aims to improve battery efficiency and lifespan.
An Army scientist has discovered a new pattern in thunderstorms that can help predict how weather and environment affect unmanned aerial systems on the battlefield. Strong downdrafts and super-cooled raindrops pose significant threats to UAS, but current models struggle to accurately predict these factors.
Scientists at the U.S. Army Research Laboratory have discovered poly(urethane urea) elastomers that exhibit hyperelastic behavior, becoming extremely stiff and bouncing back after high-speed impacts. This could lead to new designs for military armor, such as enhanced combat helmets.
Army researchers have discovered subtle variations in the dynamic behavior of materials under fatigue cycles, including shifts in natural frequency. The study aims to develop new sensing techniques for predicting service life and enabling self-responsive, damage-adaptive structures.
Researchers at US Army Research Laboratory have made breakthroughs understanding entanglement structure in quantum systems with long-range interactions. Entanglement enables ultra-secure communication, precise measurement, and powerful computers.
The Virtual Training Agent for Veterans (VITA4VETS) program uses virtual simulation practice to build job interviewing competence and confidence among veterans. With a high success rate of 93% in securing employment, VITA4VETS provides customizable training to address the challenges faced by transitioning service members.
Researchers developed a predictive model to estimate the number of successful cyber intrusions, which found that internal security policies and network access patterns are strong predictors. The model's accuracy was improved by analyzing regression results and demonstrated the feasibility of constructing a practical predictive model.
Dr. Philip Perconti, ARL Director, emphasizes the importance of innovation in basic research, highlighting recent successes in micro-autonomous systems and technology. He also discusses the Laboratory's Open Campus initiative, a collaborative framework that fosters mutual reliance and interdependent research.
Researchers at the U.S. Army Research Laboratory and the University of Maryland have developed a water-salt solution-based lithium-ion battery that reaches 4.0 volts without the fire risks associated with non-aqueous batteries. The new technology provides identical energy density as SOA Li-ion batteries while maintaining safety.
The Army-led Micro Autonomous Systems and Technology (MAST) Collaborative Technology Alliance has demonstrated futuristic robotic research platforms, showcasing state-of-the-art benchmarks. The program aims to develop small autonomous robots for collaborative operation with large systems in complex environments.
The study describes a method for measuring potential energy surfaces of atoms near optical nanofibers, facilitating quantum memories and components. It enables controlled interactions between lasers and atoms or materials, crucial for unconditionally secure communications and quantum computing.
Researchers created a new model that better describes the behavior of ceramic materials under impact stress, improving prediction of resistance to deep penetration. The improved model reduces the need for expensive experiments, guiding material design and multi-materials systems approaches.
The Privileged Sensing Framework proposes integrating human and autonomous agents based on individual characteristics. The framework improves joint human-autonomy performance without sacrificing human strengths.
The US Army Research Laboratory is designing new polymers with enhanced ballistic capabilities to protect soldiers from emerging threats. By modeling polymer chemistry, microstructure, and energy absorption, researchers aim to create ultra-high molecular weight polyethylenes for optimal performance at high strain rates.
The US Army Research Laboratory is developing a system to train rats to detect improvised explosive devices and mines. Trained rats can search smaller spaces than dogs and are easier to transport, making them ideal for mine removal and homeland security tasks.
The U.S. Army Research Laboratory Enterprise for Multiscale Modeling of Materials has received funding for designing new materials with a holistic perspective. Researchers will develop materials for extreme dynamic environments and lighter-weight electronic devices.
Researchers at the US Army Research Laboratory developed a novel processing technology that enabled commercial production of advanced Soldier head protection. The new helmets offer improved weight reduction and increased durability, with some models already fielded to Special Operations Forces.