Results 211 to 220 of about 230,502 (295)
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Gas explosion during diathermy colotomy
N, Shinagawa +6 more
openaire +2 more sources
Existing soft pumps often require tradeoffs between performance and compatibility with soft robotic systems. The proposed trielectrode electrostatic soft pump addresses these limitations through an innovative driving mechanism. Its design, which includes a trielectrode configuration and the use of compliant materials, improves operational efficiency ...
Yangqiao Lin +10 more
wiley +1 more source
Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari +6 more
wiley +1 more source
A Soft Robotic Jellyfish with Decoupled Actuators for Agile 3D Locomotion
This study presents a soft robotic jellyfish featuring a functionally decoupled actuation architecture. By separating propulsion, steering, and vertical regulation into independent modules, the robot overcomes conventional coupled‐motion limitations. Utilizing a passive‐valve‐based differential drag strategy and lateral water jets, it achieves agile 3D
Zhuoheng Li +6 more
wiley +1 more source
Objective Cerebral ischemic stroke causes neuronal oxygen/energy deprivation, disrupting mitochondrial function including reduced membrane potential and bioenergetics, exacerbating neuronal injury. Mitochondrial defects are, therefore, a central neuropathological node and potential therapeutic target.
Ning Bian +9 more
wiley +1 more source
Therapeutic Applications of Stimuli‐Based Release and Engineering of Extracellular Vesicles
This review summarizes the effects of endogenous and exogenous stimuli, their effects on the natural release of extracellular vesicles, as well as their uptake and release. It also gives an overview of stimuli‐responsive EVs and their therapeutic applications. Extracellular vesicles (EVs), nano‐ to microsized lipid bilayer membrane‐bound particles, are
Gloria Kemunto, Kristen Dellinger
wiley +1 more source

