Cloaking and Antennas: From Theoretical Paradigms to Next‐Generation Intelligent Systems
The inception of electromagnetic cloaking sparked an immediate question: Can antennas be made invisible? Two decades later, this review charts the intertwined progress of major cloaking strategies (from transformation optics to scattering cancellation), metasurface technology, and their application to antennas, revealing how AI‐enabled devices are ...
Helen Guo, Xun Li
wiley +1 more source
A Simple Perceptron that Learns Non-Monotonic Rules
Jun‐ichi Inoue +2 more
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Methodology for Topological Interface Engineering in 2D Photonic Crystals
This article introduces an automated framework for topological photonic crystal design. It features an iterative band connection method for identifying band crossings, a data‐driven approach for band symmetry recognition, and analysis of how topological mode dispersion trades off with photonic band‐gap size.
Ondřej Novák +2 more
wiley +1 more source
Effective Dynamics of Local Observables for Extended Fermi Gases in the High-Density Regime. [PDF]
Fresta L, Porta M, Schlein B.
europepmc +1 more source
"Non-strict" l'Hospital-Type Rules for Monotonicity: Intervals of Constancy
Iosif Pinelis
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Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang +4 more
wiley +1 more source
Errors are robustly tamed in cumulative knowledge processes. [PDF]
Brandenberger A +3 more
europepmc +1 more source
Formation Control of Multi‐Agent System with Local Interaction and Artificial Potential Field
This article proposes a local interaction‐based formation control method for Multi‐Agent system, integrating consensus and leader‐follower strategies with a stress response mechanism—artificial potential field to reduce communication overhead and enable obstacle avoidance. Experimental results on triangular, square, and hexagonal formations confirm its
Luoyin Zhao +3 more
wiley +1 more source
Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic +3 more
wiley +1 more source
An analytical pipeline for dose-response effect: laboratory tests assessment and early pregnancy preeclampsia risk. [PDF]
Ma Y +8 more
europepmc +1 more source

