Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
SPRAY CHARACTERIZATION, CRITICAL HEAT FLUX AND FLOW BOILING PHYSICS OF CRYOGENS UNDER TERRESTRIAL AND MICROGRAVITY CONDITIONS
With the growing interest in space exploration, cryogenic technologies involving two-phase flow and heat transfer are in high demand to successfully procure advanced space applications such as fuel depots and nuclear thermal propulsion (NTP) syste...
Data sets
Ionic liquid ion sources (ILIS) are compact ion beam sources with applications in nanofabrication and spacecraft propulsion. Their operation is characterized by a sharp onset voltage and a hysteresis upon voltage reduction. Despite two decades of ...
Detection and Tracking of Mesh Intersection Points for Autonomous Net Cleaning Robots
Net cleaning robots have been playing an increasingly important role in offshore aquaculture due to their efficiency and labor-saving capabilities. However, in practice, these robots are still entirely teleoperated and require constant, skilled hu...
SPRAY CHARACTERIZATION, CRITICAL HEAT FLUX AND FLOW BOILING PHYSICS OF CRYOGENS UNDER TERRESTRIAL AND MICROGRAVITY CONDITIONS
With the growing interest in space exploration, cryogenic technologies involving two-phase flow and heat transfer are in high demand to successfully procure advanced space applications such as fuel depots and nuclear thermal propulsion (NTP) syste...
Topology modeling and energy efficiency prediction of parallel chillers based on deep learning
To address the insufficient energy efficiency prediction accuracy caused by topological coupling in the parallel operation of multiple chillers, this study proposes a physics-guided spatiotemporal fusion model combining Long Short-Term Memory (LST...
Dynamic Resilience Assessment of Combat System of Systems: A Dual-Dimensional Framework Integrating Mission and Inherent Capabilities
In dynamic confrontation scenarios, units within a combat system of systems (CSoS) alternate between mission-active and standby states. Standby units act as reserves and affect resilience continuity. Existing work mostly assesses capability via ac...
The Faiss Library
Generative AI’s Impact on Critical Thinking: Revisiting Bloom’s Taxonomy
The integration of generative artificial intelligence (AI) tools like ChatGPT in education has raised concerns that students may become dependent on AI-generated solutions, potentially stifling the development of critical thinking skills. Compound...
Effect of Fluid Thickening with a Gum-Based Thickening Product in Older Patients with Structural or Mild Oropharyngeal Dysphagia
Background: The effect of fluid thickening in older patients with oropharyngeal dysphagia (OD) is not settled in the case of mild OD or OD caused by structural abnormalities. Objective: To assess the therapeutic effect and mechanism of action of t...
Leveraging artificial intelligence (AI) techniques for sustainable marine resources
The ocean is essential for sustaining global biodiversity, regulating climate, and supporting economic livelihoods. However, escalating pressures such as overfishing, pollution, and climate change threaten marine ecosystems worldwide. Addressing t...
Enhanced Trajectory Tracking Accuracy of a Mobile Manipulator via MRE Intelligent Isolation System Under Continuous Impact Disturbances
Continuous impact vibrations caused by uneven road surfaces (such as speed bumps) can significantly reduce the trajectory tracking accuracy of mobile manipulator. This study proposes for the first time an integrated framework combining a semi-acti...
LDRD FY25 Program Overview
The LDRD program achieves continuous
Digital Twin-Based Intelligent System for Thermal Conditioning of Engines and Vehicles with Phase Change Thermal Energy Storage
The development of modern transport energy systems is driven by increasing demands for energy efficiency, environmental sustainability, and operational reliability of vehicles. One of the most critical challenges in internal combustion engine oper...
Strategies to Facilitate the Cracking of Endothermic Hydrocarbon Fuels: A Review
Utilizing the pyrolysis reaction of endothermic hydrocarbon fuels to provide thermal protection for hypersonic vehicles is a feasible approach. The introduction of catalysts or cracking-initiating additives could promote hydrocarbon fuel cracking ...
Fine-Grained Bioacoustics Species Recognition via Multi-Feature Synergy and Ensemble Decision Optimization
Bioacoustics monitoring is vital for wildlife conservation, as over 60% of species rely on acoustic signals, yet manual surveys capture less than 40% of vocal activity. With endangered populations declining by 1–2% annually, the limitations of man...
Substantial aircraft contrail formation at low soot emission levels
Contrail cirrus clouds are a main contributor to the climate forcing from aviation1. Yet, the number of contrail ice crystals forming behind aircraft with modern lean-burn engines is unknown. Theory spans a four orders of magnitude range in ice cr...
Bridging Superconductors With United Nations Development Goals: Perspectives and Applications
Ceramic superconductors exhibit remarkable properties, including zero electrical resistance and potent magnetic behavior, operating at temperatures as high as the boiling points of liquid nitrogen (77 K) and liquid hydrogen (20 K). These character...
SmartWSN-IDS: A Hybrid Deep Reservoir and Optimized Tree Model for Routing Attack Detection
Wireless Sensor Networks (WSNs) comprise a large number of low-power sensor nodes deployed in applications such as environmental monitoring, healthcare, military surveillance, and smart cities. Recent studies indicate that over 60% of WSN deployme...
Sea Turtles vs. The Strait of Hormuz
Episode summary: The Strait of Hormuz is the world's most critical oil chokepoint and a vital sea turtle habitat. This episode explores what happens when these two worlds collide. From the physiological impact of hydrocarbons on air-breathing rept...
Integrating Proximal Policy Optimization with Physically Realistic Simulation for Robust Autonomous Underwater Vehicle Control
This study presents the design and implementation of a reinforcement learning (RL)-based framework for the control of an autonomous underwater vehicle (AUV) directly within Unreal Engine (UE). A high-fidelity aquatic environment was created using ...
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