Results 191 to 200 of about 2,447,965 (349)
Ductility Tuning via Cluster Network Characteristics of Porous Components
Advanced Materials Technologies, EarlyView.Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 more
wiley +1 more source
Advanced Optical Materials, EarlyView.This review highlights submicron patterning strategies for metal halide perovskites, focusing on solvent compatibility, resolution, and alignment toward scalable integration in advanced optoelectronic systems. Abstract Halide perovskites are promising materials for future optoelectronic and display systems.
Dante Ahn +4 more
wiley +1 more source
Progress and Prospects of Persistent Luminescent Nanocrystals in Biomedical Applications
Advanced Optical Materials, EarlyView.This review summarizes recent progress in materials‐level control of persistent luminescence, including mechanistic understanding, wavelength/intensity tuning, and activation strategies, as well as emerging biomedical applications in imaging, biosensing, cell tracking, optogenetic stimulation, and biophotochemical activation.
Peng Pei +5 more
wiley +1 more source
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Advanced 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
Advanced Robotics Research, EarlyView.This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska +2 more
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source