Results 151 to 160 of about 105,022 (283)

Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning

open access: yesAdvanced Optical Materials, EarlyView.
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur   +4 more
wiley   +1 more source

Enhanced Trapping with an Optimized Graphene‐Based Bowtie Plasmonic Nanotweezer: Design, Analysis, and Bioanalytical Applications

open access: yesAdvanced Photonics Research, EarlyView.
A graphene‐based bowtie plasmonic nanotweezer is designed and optimized using particle swarm optimization and transfer matrix analysis. The structure achieves strong field confinement, delivering trapping forces up to 6 nN W−1 for 10 nm bioparticles with sixfold lower power requirements than conventional designs.
Saba Ebrahimpanah   +2 more
wiley   +1 more source

Sharp Diamond Needles for Single‐Photon Emission

open access: yesAdvanced Photonics Research, EarlyView.
We study the morphological evolution of single‐crystal diamond needles oxidized at 650–700 °C. Electron microscopy and photoluminescence reveal temperature‐ and time‐dependent sharpening, length reduction, and surface modifications affecting tip properties.
Mariam Quarshie   +9 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
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

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 more
wiley   +1 more source

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