Results 191 to 200 of about 22,692 (334)

Domino Polymerization for the Synthesis of Reductively Degradable Poly(disulfide)s With Arbitrary Side‐Chain Structures

open access: yesAngewandte Chemie, EarlyView.
We developed a novel domino polymerization to synthesize reductively degradable poly(disulfide)s with tunable side chains. A novel monomer bearing thiolactone and pyridyl disulfide groups reacts with various amines, enabling continuous ring‐opening and disulfide exchange.
Yukiya Kitayama   +2 more
wiley   +2 more sources

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang   +3 more
wiley   +1 more source

Hydrogels Under Superchaotropic Control: Polyoxometalate Stabilization and pH‐Responsive Crosslinking in Cellulose Ether Solutions

open access: yesAngewandte Chemie, EarlyView.
Superchaotropic binding of Keggin polyoxometalates (POMs) to non‐ionic biopolymers like cellulose ethers (CEs) stabilizes otherwise hydrolytically unstable POMs in aqueous solution and allows conversion of pH‐nonresponsive polymers into pH‐responsive soft materials. The pH‐driven conversion from plenary to lacunary POMs switches superchaotropic binding
Vighnesh B. Lokare   +3 more
wiley   +2 more sources

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

Microgrids as a Tool for Energy Self-Sufficiency. [PDF]

open access: yesSensors (Basel)
Bielecki S, Skoczkowski T, Wołowicz M.
europepmc   +1 more source

Home - About - Disclaimer - Privacy