Results 211 to 220 of about 5,771,789 (298)

Scalable Design and Optimization of Reconfigurable Sb2S3 Metasurfaces

open access: yesAdvanced Optical Materials, EarlyView.
Scalable optimization methodologies are developed for reconfigurable Sb2S3 Huygens metasurfaces by combining localized phase‐match and overlap‐integral cost functions that account for inter‐element coupling. The framework enables computationally efficient design of large‐area, dual‐state flat optical devices with arbitrary wavefront transformations ...
Siddharth Padmanabha   +2 more
wiley   +1 more source

Electrically Reconfigurable Optical Initialization of Spin Valley Polarization in Monolayer WS2 Enabled by Switchable Dual‐Mode Liquid Crystal Lasers

open access: yesAdvanced Optical Materials, EarlyView.
This work presents an electrically controllable approach to spin–valley polarization in monolayer WS2 by integrating it with a dual‐mode liquid crystal laser. Applying an external field triggers phase transitions that switch the laser emission between helicity‐defined band‐edge lasing and unpolarized random lasing.
Yu‐Chuan Tsao   +3 more
wiley   +1 more source

Heteroleptic Ag(I) Complexes Bearing Benzothiazole and Benzoxazole Ligands for Orange‐Red Light‐Emitting Electrochemical Cells

open access: yesAdvanced Optical Materials, EarlyView.
Light‐emitting Electrochemical Cells (LECs) are appealing electroluminescent devices with potential application in low‐cost, large‐area display technology and disposable devices. In the manuscript, a novel family of bright photo‐ and electro‐active heteroleptic silver(I) is presented and comprehensively investigated.
Valerio Giuso   +5 more
wiley   +1 more source

Inpatient Communication Barriers and Drivers When Caring for Limited English Proficiency Children. [PDF]

open access: yesJ Hosp Med, 2019
Choe AY   +5 more
europepmc   +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

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