Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Breaking the Coulombic Ordering: Water-Induced Structural Reorganization and Enhanced Electric-Driven Transport of Ionic Liquids Propellant
Imidazolium-based ionic liquid (IL) propellants for chemical-electric dual-mode propulsion incorporate water to balance the performance of the chemical mode by moderating catalytic combustion temperatures and preventing catalyst deactivation. Howe...
Using NASA Satellite Gravity Measurements to Detect Critical Groundwater Depletion Two Months Before Physical Well Networks
Groundwater depletion is a critical threat to global agricultural and drinking water systems, yet conventional groundwater monitoring relies on sparse physical well networks that typically detect shortages only after a crisis has already occurred....
Ablation Resistance and Spray-Ability of Nano-Magnesium Silicate Reinforced Sprayable Silicone-Based Thermal Insulation Materials
In order to satisfy the requirement for lightweight, highly reliable sprayable silicone rubber insulation material (SASI) in next-generation spacecraft, and to achieve a synergistic balance among the sprayability, mechanical properties and ablatio...
Life-Cycle Greenhouse Gas Thresholds for Electric and Conventional Passenger Vehicles Under European Electricity Scenarios
This study aims to show a detailed life cycle assessment (LCA) approach of battery electric vehicles (BEVs) and internal combustion engine vehicles (ICEVs), with an emphasis on determining the electrical carbon intensity at which these vehicles re...
Design and Permanent Magnets Reduction of Linear Oscillatory Machine for Reciprocating Drives in Transport
Electric vehicles (EVs) require efficient compressors for air-conditioning and battery thermal management, typically driven by a dedicated electric motor. In this paper is dealt with the design and optimization of a stator-magnet transverse-flux l...
A Roadmap for Twin-Fuselage Aircraft Conceptual Design
Unconventional aircraft configurations show significant potential to reduce aviation’s environmental footprint. Computerized conceptual design environments enable the design of unconventional aircraft concepts and the comparison of their performan...
Topological defects lead to energy transfer in active nematics
Active nematics are fluids in which the components have nematic symmetry and are driven out of equilibrium due to the microscopic generation of an active stress. When the active stress is high, it drives flows in the nematic and can lead to the pr...
Autonomous Systems for Industrial and Marine Infrastructure Inspection and Protection
This Thesis focuses on the strategic engineering and application of AI-driven modeling and simulation of autonomous systems for the inspection and protection of critical marine and industrial infrastructures. The study includes multiple autonomous...
Robots for ecological monitoring: a review
Abstract Technologies for biodiversity assessment are crucial for addressing the global biodiversity crisis, and ecological monitoring is seeing increased use of robotics. Interdisciplinary working will be critical in finding the best robotic solu...
Neural Network-Based Optimization of Hybrid Rocket Design for Modular Multistage Launch Vehicle
In this paper, an integrated optimization is carried out to find the optimal hybrid rocket engine design for a modular multistage launch vehicle targeting a 500 km polar circular orbit. A single hybrid rocket engine unit is reused across the whole...
Enhancing context-aware SARS disorder management: a proposed multi-agent simulation framework with machine learning and bio-sensor data integration
In this work, SARS disorder denotes a generic acute severe respiratory distress condition characterized by abnormal respiratory rate, oxygen saturation, fever, and cardiovascular stress indicators, and does not represent a COVID-19 diagnostic syst...
In situ swimming behavior of the Mariana snailfish Pseudoliparis swirei
The hadal zone, defined as ocean depths below 6000 m, is one of Earth’s most extreme environments. The Mariana snailfish Pseudoliparis swirei is among the deepest known fishes, yet its natural behavior remains largely unknown. Here we quantify, fo...
Dynamic Trajectory Tracking and Autonomous Berthing Control of a Container Ship Based on Four-Quadrant Hydrodynamics
To address the strongly nonlinear hydrodynamic coupling and complex maneuvering challenges encountered by large ships during berthing operations in restricted waters, this paper proposes a high-precision autonomous berthing control system incorpor...
Machine-Learning/Artificial-Intelligence—facilitated satellite imagery analysis for trustworthy arms control verification
Abstract With the unraveling of the arms control architecture and diminished prospects for nuclear weapons agreements between the U.S. and Russia and China, there are increased risks from worst-case assumptions, and opportunities to build mutual t...
A Hierarchical Cooperative Control Framework for Shipboard Boarding Systems Based on Dynamic Positioning Feedforward
Offshore wind turbine operation and maintenance in complex sea states is influenced by the coupled effects of low-frequency vessel drift and high-frequency wave-induced disturbances. In practical operations, the ship dynamic positioning system pri...
Special Issue: Interdisciplinary Insights in Engineering Research
As with previous Special Issues in the Feature Papers in Engineering series, this new Special Issue, Interdisciplinary Insights in Engineering Research, compiles works related to engineering science and technology, including both experimental and ...
Six‐Dimensional Digital Twin System for Autonomous Underwater Vehicles: Conceptualization and Twin Experiments
ABSTRACT To promote the efficient, comprehensive, reliable, and low‐cost testing and application of intelligent algorithms for autonomous underwater vehicles (AUVs), this paper proposes an innovative six‐dimensional digital twin (6D DT) conceptual...
HDAO: A Hierarchical Curiosity-Driven Reinforcement Learning Approach for AUV Dynamic Obstacle Avoidance
Autonomous obstacle avoidance is a critical capability for Autonomous Underwater Vehicles (AUVs) to operate safely in dynamic and uncertain marine environments. Traditional AUV control methods rely on precise physical modeling and preset rules, ye...
Numerical case study on biomimetic pulse train signal multiplexing for underwater acoustic ranging
Abstract A numerical case study is presented on the multiplexing of biomimetic pulse-train signals for underwater acoustic ranging. The proposed signal mimics the click sequences of bottlenose dolphins during their searching phase, aiming to reduc...
DINO-Explorer: Active Underwater Discovery via Ego-Motion Compensated Semantic Predictive Coding
Marine ecosystem degradation necessitates continuous, scientifically selective underwater monitoring. However, most autonomous underwater vehicles (AUVs) operate as passive data loggers, capturing exhaustive video for offline review and frequently...
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