Results 181 to 190 of about 97,491 (337)
Interpretable artificial intelligence for modulated metasurface antenna design using SHAP and MLP. [PDF]
Amini A +3 more
europepmc +1 more source
ABSTRACT While industry platforms are widely recognized as enablers of circular innovation, we still know little about how they evolve to scale and sustain innovation as economic conditions tighten and circular economy funding schemes become more selective.
Eva Qi Wang +3 more
wiley +1 more source
All-optical temporal integration mediated by subwavelength heat antennas. [PDF]
Zhang Y +10 more
europepmc +1 more source
Pattern Engineered Bi-Directional Leaky-Wave Antennas with Independent Beam-Scanning Laws
Francis Baccin-Smith
openalex +2 more sources
Herein, we mainly summarize the characteristics of the main types of carbon dots (CDs), analyze the strategies for improving advanced batteries' performance via incorporating CDs, comprehensively summarize recent applications of CDs in the main components (electrode, electrolyte, and separator) of advanced batteries, and propose the technical ...
Chuang Jiang +5 more
wiley +1 more source
Optical phased arrays for wavefront shaping in forward scattering media. [PDF]
Milojković F +5 more
europepmc +1 more source
Kirkendall‐engineered hollow Ni–Mn hexacyanoferrates feature Ni‐tunable shell thickness and uniform alloying, coupling architectural control with electronic stabilization. Composition–morphology co‐optimization suppresses Mn³⁺‐driven Jahn–Teller distortions and lowers charge‐transfer barriers, enabling rapid Zn²⁺ transport and reversible redox.
Jihong Kim +12 more
wiley +1 more source
Design and Experimental Validation of a 12 GHz High-Gain 4 × 4 Patch Antenna Array for S21 Phase-Based Vital Signs Monitoring. [PDF]
Vatamanu D, Miclaus S, Matekovits L.
europepmc +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Metasurfaces with Phase-Change Materials for Mid-Wave Infrared Thermal Management. [PDF]
Babicheva VE, Kim H, Piqué A.
europepmc +1 more source

