Effect of Host Anisotropy on Phosphorescent Emitter Orientation and Light Outcoupling in OLEDs
The orientation of the emissive transition dipole moment of a cage‐type Iridium complex can be tuned by the anisotropic alignment of the cohost material, which is expressed as the S$S$ parameter of the film. Thus, the external quantum efficiency of OLEDs can be further enhanced to reach values above 30%.
Bình‐Minh Nguyễn +5 more
wiley +1 more source
On simulation reuse in healthcare applications. [PDF]
Zschaler S +6 more
europepmc +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Automated software bug severity classification using ensemble machine learning scheme: A real case study. [PDF]
Namdar M +3 more
europepmc +1 more source
A multimaterial robotic gripper fabricated via multimaterial 3D printing integrates conductive thermopolymer joints with flexible elastomeric components. Joule heating enables precise joint‐level stiffness modulation, enhanced by embedded temperature sensors, passive shape restoration, and active cooling, enabling versatile manipulation capabilities ...
Daniel Jee Seng Goh +4 more
wiley +1 more source
Large Language Models and Machine Learning Framework for Predicting Dental Ceramics Performance. [PDF]
Zhou H +6 more
europepmc +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
An integrated graph neural network model for joint software defect prediction and code quality assessment. [PDF]
Dai P, Zhu H, Wu J, He H.
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
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

