Researchers propose an adaptive dueling double deep Q-network (D3QN) for active defense guidance, addressing partial observability and multi-strategy adversarial conditions. The approach achieves high evasion success rates and robustness under various conditions.
Scientists have found that short peptides can remain stable and fold into shapes that may give them biological functions in highly acidic conditions similar to Venus's cloud layer. This discovery opens up new possibilities for the search for life on planets that don't resemble Earth.
A tiny optical imaging probe designed for optical coherence tomography (OCT) imaging inside blood vessels in the brain has been developed. The probe can acquire full 360-degree images by using a tiny piezoelectric actuator to rotate an optical lens, eliminating rotational distortion.
AnalySwift, a Purdue University-affiliated company, has received a Phase II STTR award to develop a robotic welding technology that enables disassembly and reassembly of large truss structures in space. The technology will simulate advanced materials and structures needed for this activity, including the feasibility of repurposing full...
Researchers from Imperial College London and Arup have developed a new approach to designing tall buildings that uses the building's own mass to reduce movement in high winds and earthquakes. The system, which separates usable floors from the central core, reduces peak accelerations by up to 71% and base moments by more than 50%.
Researchers propose a multiple-moon-aided Jovian capture method utilizing solar gravity perturbation (SGP) to reduce velocity increments. The study uses four dynamic models and computes datasets to analyze the mechanism of SGP, revealing its influence on perijove radius change.
Researchers have developed a novel impedance-gradient metadevice that bridges structural engineering and AI for next-generation stealth systems. The device achieves ultra-broadband microwave absorption spanning the full 2–18 GHz radar band while simultaneously achieving infrared thermal insulation and rapid visible color adaptation.
A study published in PLOS Medicine found that people with dementia, mild cognitive impairment, alcohol addiction, or psychiatric disorders like schizophrenia show increased brain aging patterns. The researchers analyzed MRI data from over 45,900 controls and compared them to 2,698 patients with different brain conditions.
A new theoretical framework proposes that the information in the brain may be continuously stored, flowed and evolved through dynamic electrophysiological activity generated by spatio-temporal coordinated neural ensembles. The study found that neuronal populations can generate rich electrophysiological activities with periodic features...
Researchers propose a framework to create adaptable, multifunctional bioinspired materials for harsh environments. By mimicking nature's designs, they aim to develop intelligent structural adhesion and friction materials that can operate across different environments.
A dynamic model of the release mechanism and interfacial adhesion effect is established to evaluate release performance and guide optimization. The improved genetic algorithm-based identification method significantly enhances model approximation, enabling accurate description of dynamic behavior during release.
Researchers developed a multi-functional biomaterial that eradicates residual cancer cells, prevents bacterial colonization, and regenerates missing bone tissue. Gallium oxide selectively targets bone cancer cells overexpressing transferrin receptors, causing cell death, while preventing infection in surgical sites.
A new spatial memory system allows robots to rapidly form and recall detailed mental models of large-scale environments, enabling fast and accurate object recognition. This framework combines advanced map representations with rich descriptions of the environment, enabling robots to answer complex queries in plain language.
A new underwater mapping technique, Sonar-MASt3R, combines sonar and visual data to generate detailed 3D maps of environments in real-time. The system enables vehicles to navigate through cloudy water by quickly mapping the general shape of their surroundings using sonar.
Researchers found that most people prefer counterclockwise motion when turning, with age being the only factor that affects this bias. The study could impact our understanding of brain function and fields like design, engineering, and architecture.
MIT engineers have developed a new propulsion system that integrates chemical and electrical thrusters, allowing small satellites to perform both fast maneuvers and precise adjustments. The system uses a special propellant called ASCENT, which powers both types of thrusters, enabling smaller and more flexible spacecraft.
Researchers developed a novel virtual model simulating astronaut interactions and environmental factors during Moon base operations. Increasing crew size boosted skill levels and teamwork compatibility, while longer missions introduced psychological stress.
Researchers have developed a dual-functional interface that combines zincophilicity and hydrophobicity to stabilize the zinc metal anode in aqueous zinc-ion batteries. This design allows for dendrite-free batteries with improved safety and cycle life, making it a promising candidate for the next generation of energy storage technologies.
A new open-source trajectory-planning system, MIGHTY, has been developed by researchers at MIT and the University of Pennsylvania. The system enables robots to generate smooth flight paths while reacting to obstacles in real-time, making it suitable for applications such as search-and-rescue, last-mile delivery, and industrial inspection.
Researchers introduce a novel approach to enhance solar thermal energy storage efficiency by anchoring the phase-change front, preventing its accumulation at the source. The continuous-flow system delivers a charging power of 0.54 kW and a solar thermal storage efficiency of 49.7%, outperforming conventional diffusion-limited approaches.
A new testing framework, Scalable Experimental Design for System-level Ethical Testing (SEED-SET), balances measurable outcomes and qualitative values like fairness. The system uses a large language model to capture stakeholder preferences and identifies scenarios where AI systems align with human values.
Researchers developed a smart window that uses electromagnetic Weber beams to eliminate blind zones in in-vehicle communications. The system demonstrates significant improvements in 5G signal power, enabling real-time transmissions of high-fidelity images.
MIT researchers developed a generative AI-driven approach for planning long-term visual tasks, surpassing existing techniques with a 70% success rate. The system combines vision-language models with formal planners, enabling robots to navigate complex environments and assemble multi-robot teams with high efficiency.
LIST's patented infrared welding process enables rapid assembly of thick carbon-fibre-reinforced thermoplastic components, reducing weight, costs and environmental impact. The innovation is estimated to reduce CO2 emissions by 12.5 tonnes per wing rib.
Researchers have developed a passive, solar-powered orbital data center that can scale AI computing and reduce environmental impact. The system leverages decades of research on 'tethers' and could host thousands of computing nodes to replicate terrestrial data centers.
Researchers developed an energy learning hyper-heuristic algorithm to tackle complex task assignment challenges in heterogeneous UAVs. The algorithm outperforms traditional methods in convergence speed and solution quality, enabling efficient completion of tasks while avoiding obstacles.
A novel parameterization method for orbits near collinear libration points has been developed, allowing for systematic cataloging and robust identification of cislunar objects. The method enables the characterization of motion along two directions, providing critical insight into spacecraft maneuvers and transfer events.
The double swept waverider demonstrates outstanding comprehensive performance through numerical simulation verification. It maintains an ideal longitudinal static stability margin of approximately 2%, laying a solid foundation for practical engineering applications.
A new strategy for parallel adaptive Cartesian grid generation is introduced, combining features of generated grid cells and estimating iterations needed. This approach significantly speeds up grid generation using the same number of cores, improving computational efficiency and scalability.
Researchers at Nanjing University of Aeronautics and Astronautics created an active metal metamaterial that can bend and recover its shape, enabling aircraft wings to morph smoothly in flight. The material is lightweight, strong, and capable of adjusting its shape on demand.
The UC3M's new supercomputer is a state-of-the-art facility designed to support research and development projects requiring high-performance computing. The system features over 11,500 CPU cores and 42 GPUs, enabling the processing of large volumes of data and complex numerical simulations.
Researchers at Stanford University have successfully used machine-learning-based control to operate a robot on the International Space Station, allowing for faster and more efficient navigation while maintaining safety. The system, which includes a warm start feature, enables robots like Astrobee to move through complex environments wi...
A new physics-based approach predicts how lightning strikes aircraft, identifying vulnerable regions for protection. The tool can be applied to any shape of aircraft, including unconventional designs.
A team of scientists has developed a breakthrough floating droplet electricity generator that directly incorporates natural water into its structure, reducing material weight by about 80% and cost by about 50%. The device produces high peak output voltages comparable to conventional systems.
A comprehensive guide describes the effects of spaceflight on the immune system, including microgravity, cosmic radiation, and sleep disruptions. The study provides integrated mechanistic insights into how these stressors alter immune physiology, with potential relevance in aging research.
Dr. Bueno, a lead engineer at SwRI's Computational Mechanics Section, has been recognized for his work on supersonic and hypersonic aerodynamics, turbulence, and renewable energy. He developed patented heat storage systems and advanced optical diagnostic imaging tools to study high-speed flows.
Dr. Chris Thomas recognized for technical excellence and leadership in combustion technologies, including propulsion systems and battery safety. His research has led to significant contributions to the field of blast physics and lithium-ion battery safety.
The SRI model integrates swarm dynamics with dynamic graph neural networks, resolving existing method pitfalls. It demonstrates significant performance improvements over traditional methods, with reduced long-term prediction errors.
A new autonomous shipboard landing control system for UAVs has been developed using a ship motion predictor, achieving reliable UAV landing on a maneuvering ship. The system balances precise landing position and safe landing attitude while ensuring steady-state performance and transient behavior.
Researchers propose a lightweight solution to detect GPS spoofing attacks on drones using trajectory anomaly detection. The MSSTP-OAD system achieves high accuracy and reduces false positives, enabling efficient navigation and improved safety.
A survey of covert UAV communications explores emerging methods and technologies for secure transmission in UAV-assisted networks. Uncertainties can enhance covertness, and techniques like multiple antennas and artificial intelligence improve communication performance.
A comprehensive review of recent advances in panel aeroelasticity in shock-dominated flow highlights the complex interplay between fluid-structure interactions and shock-boundary layer interactions. Understanding these dynamics is crucial for preventing catastrophic structural failures and improving supersonic vehicle design.
Researchers at Stanford University created an algorithm that efficiently manufactures products with a team of robots, directing them to work alone or in teams and laying out the assembly floor to prevent collisions. The ability to generate assembly plans quickly could provide flexibility in manufacturing, allowing factories to pivot mo...
Researchers analyzed aeroelastic coupling characteristics of TEF/NTBT rotor in forward flight and proposed a functional control strategy to suppress hub vibration intensity. The study revealed the influence mechanisms on aeroelastic characteristics and demonstrated a 45.72% reduction in vibratory hub loads using optimal TEF control.
Researchers explore ADRC-based servo control for aviation EMA servo drives, highlighting its potential to suppress disturbances comprehensively. The study also identifies challenges and development trends in aviation electro-mechanical servo control.
OEC allows satellites to process data directly, reducing latency and bandwidth constraints. However, research faces challenges due to limited energy storage, heat dissipation, and launch costs.
A novel numerical prediction method for radiative heat transfer of reusable methalox rocket exhaust plumes has been developed, offering unprecedented engineering value. The method achieves remarkable accuracy with maximum relative errors below 6.0% at less than 20% computational cost.
A new study led by University of Waterloo researchers found that female pilots tend to make fewer flight control errors under stress, despite similar visual attention patterns. The findings challenge gender bias in aviation performance and suggest a need for more inclusive pilot training and evaluation systems.
Researchers are investigating whether boobies create a protective 'bubbly barrier' to reduce the impact of their high-speed dives. Preliminary findings suggest that supercavitation may indeed help mitigate the forces of impact, and further experiments are planned to confirm this effect.
A research team developed a novel artificial membrane with ultra-high ion selectivity between monovalent and bivalent metal ions. The membrane combines graphene oxide and polyacrylic acid to create nanoscale channels with 'smart gates', enabling adaptive ion permeation.
A research team detects aircraft-induced atmospheric disturbances using a novel approach with active light sources, enabling long-range sensing of aircraft presence. The detection scheme captures sharp spatial variations in atmospheric density within disturbed regions.
A new framework, FlowViT-Diff, uses transformer-guided diffusion models to reconstruct high-resolution flow fields from low-resolution data. The method achieves superior accuracy and robustness compared to classical methods.
Incremental Nonlinear Dynamic Inversion (INDI) offers a flexible, sensor-driven control approach for novel aircraft configurations. Its ability to adapt to changing dynamics and uncertainties in real time enables stable and reliable control even under challenging conditions.
Researchers developed a Stability-enhanced VPM that addresses numerical stability issues, enabling accurate simulations of complex flows. The method demonstrates improved stability and accuracy in simulating high Reynolds number flows and shear turbulence.
Researchers developed a high-fidelity FSI model to predict impact loads under wave conditions, revealing pivotal mechanisms for airbag-cushioned reentry capsule design. The study provides a scientific foundation for optimizing spacecraft recovery and establishing technical cornerstones for future crewed missions.
Researchers developed an innovative NES-AVS device with real-time stiffness adaptation, achieving 84% reduction in flexible rod tip displacement. The composite controller ensures robust detumbling control and high efficiency during detumbling processes.
Researchers developed CL-RaA*, a novel path planning algorithm for fixed-wing UAVs, ensuring safe and efficient navigation in complex environments. The algorithm outperforms existing methods in terms of search speed and feasible path length.
A team of researchers has introduced an Unmanned Aerial Vehicle (UAV) into the SRV-aided CP network and designed a locally-centralized CP method based on clustering optimization strategy. The proposed strategy fully integrates the positioning resources of the entire network, aiming to improve the CP performance of SRV-aided networks. S...
Researchers at Beihang University derived capture zones of pulsed and continuous guidance laws for both pursuer and evader, highlighting their differences and influence factors. The study provides a theoretical guideline for guidance law selection in various pursuit-evasion games.
A new dual diffusion framework, Para2Mesh, has been proposed to achieve direct prediction from design parameters to adaptive meshes aligned with the flow field. This approach overcomes the limitation of previous methods requiring posteriori solution information, enabling more efficient and accurate computational fluid dynamics simulati...