Results 211 to 220 of about 66,901 (296)

Geometry‐Encoded Soft Strain Sensing via Liquid‐Metal Transmission Lines

open access: yesAdvanced Science, EarlyView.
This study presents a liquid‐metal transmission‐line strain sensor that achieves intrinsic decoupling by encoding axial elongation into propagation delay. The time‐domain readout remains stable under complex off‐axis. This enables reliable, repeatable, real‐time elongation measurement in dynamic, multiaxial loading environments for wearable electronics,
Zhang Liu   +12 more
wiley   +1 more source

Experiments on Nonlocal Fluid‐Flow Metamaterials

open access: yesAdvanced Science, EarlyView.
A nonlocal fluid‐flow metamaterial composed of standard microfluidic tubes and connectors is designed. Hence, the current of the system at one position depends on the gradient of fluid flow at many other positions, leading to unusual alternating backward and forward laminar flows of water.
Ke Wang, Yi Chen, Martin Wegener
wiley   +1 more source

Emergence of Unconventional Magnetic Order in Strain‐Engineered RuO2/TiO2 Superlattices

open access: yesAdvanced Science, EarlyView.
Epitaxial strain activates unconventional magnetism in rutile RuO2, absent in bulk or relaxed RuO2. Polarized neutron reflectometry with atomic‐layer resolution directly reveals finite magnetization confined to RuO2 layers in fully strained RuO2/TiO2 superlattices on TiO2 (110).
Seung Gyo Jeong   +12 more
wiley   +1 more source

cis‐Carboxylate Enhancement of Mn(III)‐OH Hydrogen Atom Abstraction through PCET Thermodynamics

open access: yesAdvanced Science, EarlyView.
ABSTRACT Manganese(III)‐hydroxo intermediates are proposed as key hydrogen atom abstraction (HAA) species in manganese‐dependent enzymes, yet how first‐sphere carboxylate ligands control their proton‐coupled electron transfer (PCET) thermodynamics remains poorly understood.
Yuri Lee   +4 more
wiley   +1 more source

Defending Principled Advocacy for Children in Modern Organ Transplant. [PDF]

open access: yesPediatr Transplant
Husain SA   +3 more
europepmc   +1 more source

Predicting the Reactivity of Acyclic Silylenes and Germylenes in Hydrogen Activation Using Machine Learning

open access: yesAdvanced Science, EarlyView.
Statistical models for the prediction of the energy profile of H2 activation by silylenes and germylenes were developed. A simple model based on increments of the elements in α‐position enabled robust energy prediction, extrapolation to new structures, and transferability to new tetrylenes and substrates.
Michelle Kleinhaus   +4 more
wiley   +1 more source

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