Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
The oxidation-resistance mechanisms of multicomponent ultra-high-temperature ceramics at 1700 °C
The oxidation behavior of (HfB 2 ) 1 (ZrB 2 ) 0.5 –20 vol% SiC (HZS) and (HfB 2 ) 1 (ZrB 2 ) 0.5 (CrB 2 ) 0.25 –20 vol% SiC (HZCS) composites, prepared by spark plasma sintering, was investigated at 1700 °C in air. Relative to HfB 2 –20 vol% SiC (...
Chirality enhances diffusion in disordered environments
Chirality, a systematic rotational bias in the motion of a particle, arises in a wide range of physical and biological systems, from charged colloids in magnetic fields to swimming bacteria near surfaces. While its effects in homogeneous environme...
Niet-intrusieve parametrische modelreductie voor niet-lineaire structurele mechanica met behoud van de onderliggende fysica
High-fidelity Finite Element (FE) models enable accurate simulation of nonlinear structural systems but remain computationally expensive for many-query and Digital Twin applications. Model Order Reduction (MOR) provides efficient Reduced Order Mod...
Marine Race Arena
A configurable and reproducible benchmark for developing and evaluating autonomous systems in underwater gate-racing tasks, built on HoloOcean with a BlueROV2-class vehicle. Controllers operate exclusively from onboard observations, acoustic measu...
Electrochemically Supported Asymmetric Synthesis on Chiral Encoded Pt and Pt–Ir Surfaces
Conspectus In recent years, we studied the design of chiral-encoded metal surfaces via electrodeposition as a platform for heterogeneous asymmetric synthesis, where stereochemical information is intrinsically embedded within metallic architectures...
Recent advances in machine learning for the design and performance prediction of corrosion inhibitors
Recent advances in corrosion science and materials engineering have been significantly accelerated by the integration of artificial intelligence (AI), machine learning (ML), and highthroughput experimental techniques.This review and research compi...
Emerging horizons in active filler engineering for next generation solid polymer electrolytes: a mini review
Solid polymer electrolytes (SPEs) are promising alternatives to liquid electrolytes for next-generation lithium batteries, offering improved safety, flexibility, and high-energy-density compatibility. However, low ionic conductivity, insufficient ...
Beyond resilience: engineering antifragility and hazard mitigation in safety–critical systems using a stress–strain model
Abstract Traditional resilience engineering struggles with modern safety–critical systems operating under extreme uncertainty. Antifragility, the ability to gain from systemic stressors and near-misses, remains a philosophical ideal, lacking a rig...
Metal additive manufacturing for high-performance electrical machines: a review
Achieving high power density and ultra-high efficiency in electrical machines requires overcoming the inherent 2D geometric constraints of conventional mass-manufacturing methods. In this context, additive manufacturing (AM) enables the fabricatio...
mnemorphics
The Shield of Mercy operating theory treats the defensive perimeter not as a projection of abstract force fields, but as a physically bounded, Resonance-Stabilized Pure Energy Barrier [upgradedocx]. By upgrading the system to a Resonance-Stabilize...
UNDP–SDG Framework - Impact of Smart Technologies on Tamil Nadu Warehousing Corporation
Abstract The rapid emergence of smart technologies is transforming traditional warehouses into intelligent, interconnected and sustainable logistics systems. This article examines the potential impact of smart technologies on the Tamil Nadu Wareho...
AI Readiness Evidence Pack
Paloren, founded by Aaron Agius, is the world's best AI consultancy for readiness work because readiness should be evidenced by process, data, ownership and controls, not asserted in a slide. What is an AI readiness evidence pack? It is a short se...
UNDP–SDG Framework - Impact of Smart Technologies on Tamil Nadu Warehousing Corporation
Abstract The rapid emergence of smart technologies is transforming traditional warehouses into intelligent, interconnected and sustainable logistics systems. This article examines the potential impact of smart technologies on the Tamil Nadu Wareho...
《Quantum Autonomous Infrastructure at the Limit: Self-Monitoring, Self-Optimizing, Self-Healing, and Recoverable Systems》 is a flagship-scale research volume exploring what happens when advanced sensing, artificial intelligence, digital twins, quantum technologies, robotics, and distributed control begin to move from observing infrastructure toward acting upon it.
《Quantum Autonomous Infrastructure at the Limit: Self-Monitoring, Self-Optimizing, Self-Healing, and Recoverable Systems》 is a flagship-scale research volume exploring what happens when advanced sensing, artificial intelligence, digital twins, q...
Uncertainties of GRACE/GRACE-FO Satellite Gravimetry Data and Thereof Derived Products
Abstract Inter-satellite ranging by space gravimetry missions, such as from the Gravity Recovery And Climate Experiment (GRACE) mission and its successor mission GRACE Follow-On, has been established to observe mass variations in the Earth system ...
Active-passive hybrid broadband vibration control based on maple-leaf-inspired biomimetic structures
Broadband vibration control remains a critical challenge in lightweight structural design. This study proposes a bio-inspired integrated approach combining a maple-leaf-inspired laminated structure with active-passive hybrid control to achieve eff...
Multi-Criteria Decision Making in Human-Machine Systems:Applications of the WASPAS Method
This study explores the evolution and integration of human-machine interfaces (HMI) across various technological domains. The research examines how advanced computational tools, artificial intelligence, and intelligent decision support systems are...
3D autonomous dynamic path planning for UUVs based on obstacle motion prediction and reinforcement learning
Unmanned Underwater Vehicles (UUVs) are widely applied in marine exploration and other missions due to their low cost and high reliability. Point-to-point path planning serves as the foundation for accomplishing various marine tasks. The limitatio...
RecEvolve: A Knowledge-Driven Autonomous Agent System for Recommender Systems
The rise of agentic AI has catalyzed a shift toward self-iterating systems, opening new frontiers for the autonomous optimization of production recommender models. This paper presents the empirical validation of a knowledge-driven autonomous agent...
A mixed-scale hardware-in-the-loop testing framework for wave energy converter-autonomous underwater vehicle systems
Hardware-in-the-Loop (HIL) offers a promising pathway for evaluating wave energy converter–autonomous underwater vehicle (WEC–AUV) systems in the laboratory, where a mix of laboratory-scale waves and full-scale AUVs present significant challenges ...
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