Results 191 to 200 of about 150,841 (267)
WS2 Micro‐Dome Single Photon Source in a Tunable Open Cavity
In this work, a single‐photon source based on WS2 micro‐domes is realized and integrated into an open, tunable optical microcavity. Single‐photon emission from the coupled emitter–cavity system is observed. Detailed analysis shows that a pronounced acoustic phonon emission sideband contributes specifically to the non‐resonant emitter–cavity coupling in
Jens‐Christian Drawer +15 more
wiley +1 more source
Strong Coupling in all‐Polymer Planar Microcavities
Strong Coupling has been achieved in an all‐polymer microcavity with dielectric contrast Δn = 0.33 doped with TDBC. A Rabi splitting of 39 meV has been measured opening novel perspectives for polymer photonics. ABSTRACT In this work, strong coupling effect is observed in all‐polymer planar microcavities incorporating TDBC J‐aggregates dispersed into ...
Daniela Di Fonzo +5 more
wiley +1 more source
Networks of confined CsPbBr3 perovskite quantum dots, synthesised within nanoporous silica scaffolds using precursors containing different combinations of butylammonium bromide and crown ether additives, enable electroluminescent devices with 400‐fold enhanced charge injection and transport with respect to control devices, yielding ultrapure green ...
Carlos Romero‐Pérez +4 more
wiley +1 more source
Germanium (Ge) all‐dielectric metasurfaces can be leveraged to strongly enhance the radiative emission from Ge layers grown on silicon‐on‐insulator substrates by industry‐standard processes. At room‐temperature, the narrowband photoluminescence (PL) intensity is enhanced by a factor ∼40× with respect to unstructured films.
Jon Schlipf +6 more
wiley +1 more source
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
Auto‐Routing Fluidic Printed Circuit Boards
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre +3 more
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source

