Results 141 to 150 of about 179,012 (271)

Self‐Aligned Pillar Arrays Embedding Site‐Controlled Single Quantum Dots for Bright Nonclassical Light Emission

open access: yesAdvanced Photonics Research, EarlyView.
Tilted‐view scanning electron microscope images show arrays of self‐aligned etched GaAs triangular pillars hosting single quantum dots. The main image captures the as‐fabricated morphology prior to dielectric coating, highlighting their uniform geometry.
Gediminas Juska   +10 more
wiley   +1 more source

Inflatable Kirigami Crawlers

open access: yesAdvanced Robotics Research, EarlyView.
Inflatable kirigami crawlers are fabricated from heat‐sealable textiles and achieve motion through cyclic pneumatic actuation. Strategically placed kirigami cuts guide asymmetric deformation, doubling contraction compared to traditional pouches and forming scale‐like surfaces.
Burcu Seyidoğlu   +3 more
wiley   +1 more source

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

open access: yesAdvanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds   +2 more
wiley   +1 more source

Ultrathin Graphene Strain Sensor Arrays for High‐Sensitivity Multifunctional Sensing with Millimeter‐Scale Resolution

open access: yesAdvanced Sensor Research, EarlyView.
This study reports an ultrathin graphene‐based strain sensor array fabricated on a 5 µm polyimide substrate. The array achieves millimeter‐scale spatial resolution (≈70 devices cm−2), high sensitivity with a gauge factor of 144, and reliable durability over 5000 cycles.
Wenchao Luo   +10 more
wiley   +1 more source

Certain Conditions For Strongly Starlike And Strongly Convex Functions

open access: green, 2018
Sukhwinder Singh Billing   +2 more
openalex   +1 more source

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

open access: yesAdvanced Theory and Simulations, EarlyView.
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

Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques

open access: yesAdvanced Theory and Simulations, EarlyView.
This data‐driven study investigates Czochralski growth using Decision Trees, Symbolic Regression, ANN, and SHAP to assess the impact of 21 process and design parameters on crystal quality. Trained on 632 CFD simulation datasets across four crystalline materials, it demonstrates the feasibility of a universal Cz model applicable to various ...
Natasha Dropka   +4 more
wiley   +1 more source

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