Results 191 to 200 of about 1,840,627 (291)

Structural Modulation of Charge Transfer in Donor–Acceptor Systems: Effects of Donor Type and Connectivity

open access: yesAdvanced Optical Materials, EarlyView.
A coherent phthalimide acceptor platform with planar (Cz—carbazole) and spiro‐type (SAF—spiroacridine fluorene) donors enables systematic tuning of donor geometry and coupling, driving the evolution of excited‐state topology from classical CT‐TADF and fluorescence/RTP to CT‐driven and LE‐assisted TADF with OLED efficiencies ≈ 36%.
Christopher Anton Wallerius   +8 more
wiley   +1 more source

A hybrid learning framework for automated multiclass electrocardiogram classification with SimCardioNet. [PDF]

open access: yesSci Rep
Majid MD   +6 more
europepmc   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

open access: yesAdvanced Robotics Research, EarlyView.
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

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

open access: yesAdvanced Robotics Research, EarlyView.
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

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

Toward Wireless Implantable Robotic Systems Driven by Magnetic Field for Personalized Therapy

open access: yesAdvanced Robotics Research, EarlyView.
Robotic materials are playing an increasingly vital role in enabling sensing and actuation at small scales. This perspective highlights recent advances in magnetic materials and magnetically actuated devices for wireless sensing, actuation, and energy harvesting toward implantable robotic systems for closed‐loop therapy.
Yusheng Wang, Ruijian Ge, Xiaoguang Dong
wiley   +1 more source

Home - About - Disclaimer - Privacy