Researchers at Georgia Tech have developed a new cathode and electrolyte system using transition metal fluorides and solid polymer electrolytes, showing remarkable stability and potential for safer, lighter lithium-ion batteries. The new design has more than double the lithium capacity of traditional cobalt- or nickel-based cathodes.
Researchers developed a lightweight plastic that mimics the outer coating of pearls, offering improved protection against bullets and projectiles. The material has high thermal conductivity, making it ideal for vests, helmets, and other body armor.
Researchers created an all-aqueous, water-in-water construct that achieves compartmentalization in a synthetic biologic system. The system uses electrical charge to separate functions and materials, mimicking the behavior of living cells.
Researchers at the University of Wisconsin-Madison have discovered a new mechanism for bending metals that challenges previous understanding. By creating narrow bands with an amorphous configuration, they found that certain materials can bend without fracturing, potentially leading to stronger and more durable military vehicles.
Researchers developed a Military Logistics Network Planning System to help military leaders better account for logistical risk and uncertainty. The system forecasts logistical outcomes based on available data, accounts for risk, and provides decision-making aid.
Scientists have developed a microchip that simulates particle interactions in a hyperbolic plane, a surface where space curves away from itself at every point. This research may advance understanding of materials relevant to Army goals and help explore questions in other fields, including communication networks.
Researchers developed an AI program called Pluribus that defeated leading professionals in six-player no-limit Texas hold'em poker. The AI uses a limited-lookahead search algorithm to develop strategies for situations with incomplete information.
The new framework helps government and industry organizations visualize their ability to out-maneuver attacks by scoring their agility. Researchers used a honeypot system to attract and analyze malicious traffic, allowing them to better understand how cyberattacks evolve over time.
A new framework called Learn to Grow has been developed to enable artificial intelligence systems to better learn new tasks while forgetting less of what they have learned regarding previous tasks. This framework allows AI systems to retain previous skills and apply them to new tasks, improving performance and efficiency.
Researchers have identified a new cathode chemistry that increases the energy density of lithium-ion batteries while maintaining improved safety. The discovery, which utilizes an aqueous electrolyte, has the potential to significantly increase the energy capacity of batteries without increasing weight or risk of fire.
A team of researchers discovered polar skyrmions in an electric material, opening up a plethora of materials systems and physical phenomena to explore. The combination of polar skyrmions and electrical properties may allow for the development of novel devices with significant interest to the Army.
Researchers at Cornell University and the University of California Berkeley have made a groundbreaking discovery in polar skyrmions, opening up new possibilities for novel devices. The team found that skyrmions can exhibit chirality in an electric material, which could be used to develop new data storage technologies.
Researchers developed protein catalyzed capture technology to improve receptor stability and manufacturability for wearable sensor applications. The technology enables real-time monitoring of Soldier health and performance, as well as sensing environmental threats.
Researchers have developed a computational approach to simulate the complex bioelectrical interaction at the tissue scale, enabling more accurate and capable virtual experiments of cell behavior. The technique has potential applications in treating cancer and accelerating combat wound healing.
Researchers found that people's attitudes towards avoiding negative outcomes versus achieving positive outcomes affect their performance in response to gamified feedback during simulation-based training exercises. The study suggests that personalized gamification can boost training, but only if individual differences are taken into acc...
Researchers at the US Army Research Laboratory identified a new strategy to improve cybersecurity by compressing network traffic without losing malicious activity detection capabilities. The technique stops transmitting data after a set number of messages, reducing bandwidth usage and increasing security alert reliability.
The US Army has awarded up to $50 million over five years to eight academic teams pursuing basic research across various scientific disciplines. The teams will study topics including heat energy transfer, plant and pollen distribution, and the restorative effects of sleep.
Researchers successfully created self-assembled structures using oppositely charged synthetic proteins, enabling the formation of hierarchical ordered, symmetrical structures. This breakthrough could lead to the development of novel architectures for bio-enabled sensing and functional coatings with unique properties.
Researchers mapped brain connectivity in 30 people to understand how different regions coordinate during tasks. The study aims to create novel strategies for AI-powered teaming environments, where robots can dynamically assist soldiers in completing tasks.
Researchers showcase cutting-edge neurotechnology systems, including BrainFlight, which uses online neurofeedback to modify an individual's arousal state. The system aims to improve performance in demanding tasks and has potential applications in treating mental conditions like PTSD.
Researchers found that programming autonomous vehicles in advance leads to more cooperative decisions, as people prioritize collective interests over short-term rewards. This effect generalizes beyond the domain of autonomous vehicles and has implications for shaping societal dilemmas.
The researchers proposed a new approach to testing, leveraging heterogeneous computing strategies and programmable networks to speed up testing in the wake of big data. This method reduces the risk of capturing corrupted or unusable data and enables more rapid evaluation of mission effectiveness.
Researchers found that people trust their own abilities more than AI advice, even with flawless systems. A study using the Iterated Prisoner's Dilemma game showed that two-thirds of human decisions disagreed with AI suggestions, regardless of accuracy.
Researchers at the U.S. Army Research Laboratory have developed Mixed Reality Tactical Analysis Kit (MRTAK) to assess the benefits of immersive technology for soldiers. The kit is part of the AURORA-MR system, which enables collaborative immersive analytics and allows commanders to communicate without physical constraints.
Researchers from the U.S. Army and top universities discovered a new way to enhance energetic performance of metal powders in battlefield systems by igniting aluminum micron powders coated with graphene oxide. The discovery, published in ACS Nano, could lead to improved range and lethality of existing weapons systems.
Researchers have identified specific neurological changes in brain neurons based on the force applied during head trauma. The study used x-ray diffraction to examine myelin structure and detected changes at a consistent load of force.
Researchers at the U.S. Army Research Laboratory have created a topological quantum light source that can guide light around its edge, shielding it from disruptions. This breakthrough has the potential to enable more secure communications and enhanced sensing capabilities for soldiers.
Researchers created data-driven models of individual brains to understand how brain structure affects cognitive tasks, such as language demand. The study identifies potential strategies for enhancing performance through targeted brain stimulation.
Researchers developed a new dynamic model that quantitatively incorporates group behavior into individual decision-making, predicting the sensitivity of individuals to persuasion and deception. The model uses non-integer derivatives to compress the influence of groups into a single parameter.
The U.S. Army Research Laboratory has developed a new resource for teaching synthetic biology to kindergartners through high school using an affordable, hands-on kit called BioBitTM. The kit enables experiments that circumvent current barriers in science education and fills a gap in STEM education.
Researchers have created designer materials that can be used in various photonic applications, outperforming individual metals like gold and silver. The materials exhibit tuned optical properties, enabling lighter load and enhanced power for Soldier devices.
A novel algorithm enables localization of humans and robots in areas with limited or no GPS coverage. The technique uses the gradient of received signal strength to estimate direction of arrival, robustly estimating source location even in obstacle-rich scenes.
A team of scientists from the US Army Research Laboratory and MIT have developed a novel synthetic biology tool that delivers DNA programming into a broad range of bacteria. The XPORT bacterium enables precise and controlled transfer of DNA to various microorganisms, opening up new possibilities for military applications.
Researchers create a new model for collective behavior within the brain, bridging the gap between EEG waves and random fluctuations. The technique has potential to reduce stress and onset of conditions like PTSD in military personnel.
A team of researchers has developed a new proactive defense technique called moving target defense (MTD) to protect computer systems from cyberattacks. MTD involves changing the IP address of computers frequently enough to confuse attackers and make it harder for them to exploit vulnerabilities.
A recent study by US Army Research Laboratory scientist Dr. James Schaffer and his collaborators found that users' subjective satisfaction with their decisions is strongly influenced by their cognitive state and traits, not just the system's user experience.
Researchers analyzed brain responses of people reading real news headlines to forecast popularity among readers. Infrequent news readers were better able to predict article success, suggesting they responded more broadly to content value. The study's findings could inform Army initiatives on communication and messaging.
The study aims to improve commander-Soldier interaction, especially in resource-constrained situations. Main findings indicate the use of trust improves the commander's utility, and a cognitive-inspired framework shows adaptivity and ability to accommodate different follower needs.
Scientists at U.S. Army Research Laboratory and Johns Hopkins University Applied Physics Laboratory develop software to analyze a robot's ability to self-right from any overturned orientation. The team evaluates the Advanced Explosive Ordnance Disposal Robotic System and determines it can right itself on level ground regardless of its ...
Researchers develop a novel approach using the Lattice-Boltzmann method to accurately model atmospheric turbulence in complex environments, reducing computational load and improving prediction accuracy. This breakthrough has significant implications for military operations, civilian planning, and emergency response.
Researchers found that uncertainty can actually help decision makers by allowing them to prioritize good information and reduce errors. In high-stakes situations like battlefields, this approach could lead to better outcomes.
Researchers developed a technique to quickly teach robots novel traversal behaviors with minimal human oversight, enabling autonomous navigation in environments. The goal is to provide reliable robot teammates to the Soldier, allowing for faster task completion and enhanced situational awareness.
Researchers developed a new data processing technique to monitor brain state using heart rate variability, revealing that yoga is more effective than Chi meditation in reducing stress. The study also found that long-term meditation practice can make permanent changes and improve executive control.
Researchers from the U.S. Army Research Laboratory and Texas Tech University demonstrated a 30-percent enhancement in TNT detonation velocity by adding novel aluminum nanoparticles. The AIH-coated nanoparticles showed improved reactivity due to their unique morphological feature, leading to enhanced explosive performance.
Researchers at the U.S. Army Research Laboratory developed a new technology that allows soldiers to learn 13 times faster than conventional methods, potentially saving lives. This technique uses low-cost hardware and collaborative filtering to achieve a significant speedup in training compared to state-of-the-art systems.
A U.S. Army Research Laboratory researcher has developed a mathematical approach to design chemical compounds, reducing complexity and leveraging machine learning. This method could lead to the discovery of new materials with unique properties.
Researchers developed soft actuator prototypes with tunable parameters, achieving larger deflections than other recent examples. The 3-D printed dielectric elastomer actuators (DEAs) can perform high bending motion without skeletal support.
Engineers at U.S. Army Research Laboratory and University of Maryland developed a technique to control composite material behavior using ultraviolet light, enabling new capabilities for rotorcraft design, performance, and maintenance. The method allows materials to become 93%-stiffer and 35%-stronger after UV exposure.
Researchers developed a highly reversible zinc metal anode for aqueous batteries, addressing safety concerns and increasing energy storage capacity. The new technology has the potential to replace conventional lithium-ion batteries in extreme conditions, such as aerospace and military applications.
The U.S. Army Research Laboratory has developed an artificial intelligence technique that produces a visible face image from thermal images captured in low-light conditions. The technology leverages advanced domain adaptation techniques to enhance discriminability and recognition accuracy.