Results 211 to 220 of about 112,880 (265)

Artificial Synaptic Device Based on Self‐Aligned c‐In2O3 TFTs With an Ultrathin MgO Interlayer

open access: yesAdvanced Materials Technologies, EarlyView.
A coplanar synaptic thin‐film transistor based on crystalline In2O3 is demonstrated using a PECVD SiO2 gate insulator and an ultrathin MgO interlayer. The MgO interlayer suppresses excessive carrier density and may facilitate proton‐related interfacial polarization, resulting in stable counterclockwise hysteresis and synaptic behavior.
Samiran Roy, Jewel Kumer Saha, Jin Jang
wiley   +1 more source

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

open access: yesAdvanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov   +2 more
wiley   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

open access: yesAdvanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
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

FE model updating [PDF]

open access: yes, 2019
Caballero Arcos, Alejandro L.   +4 more
openaire  

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