Results 231 to 240 of about 4,417,224 (372)

Ultrasoft Iontronics: Stretchable Diodes Enabled by Ionically Conductive Bottlebrush Elastomers

open access: yesAdvanced Functional Materials, EarlyView.
This work introduces a solvent‐free, ultrasoft, and stretchable ionic diode based on oppositely charged bottlebrush elastomers (BBEs). The BBE diode exhibits an ultralow Young's modulus (<23 kPa), a high rectification ratio of 46, and stretchability over 400%.
Xia Wu   +6 more
wiley   +1 more source

Native Lignin Migration and Clustering in Wood: Superhydrophobic, Antimold, and Tribonegative Layers for Rain‐Driven Electrification

open access: yesAdvanced Functional Materials, EarlyView.
This study proposes a sustainable solution for rainwater‐driven energy harvesting by harnessing the intrinsic properties of lignin in wood. The first demonstration of an all‐wood tribonegative material for liquid–solid triboelectric nanogenerators is presented, eliminating the need for fluorine‐containing polymers and functional additives. Abstract The
Xuetong Shi   +8 more
wiley   +1 more source

Phase and Valence State Engineering of MOFs-Derived Iron Oxide@Carbon Polyhedrons for Advanced Microwave Absorption. [PDF]

open access: yesNanomaterials (Basel)
Yang X   +9 more
europepmc   +1 more source

Laser‐Induced Graphene‐Assisted Patterning and Transfer of Silver Nanowires for Ultra‐Conformal Breathable Epidermal Electrodes in Long‐Term Electrophysiological Monitoring

open access: yesAdvanced Functional Materials, EarlyView.
This study presents a novel method using laser‐induced graphene (LIG) to enable high‐yield transfer of silver nanowire (AgNW) networks onto ultra‐low modulus, breathable silicone substrates. This approach creates ultra‐conformal epidermal electrodes (≈50 µm) for long‐term, high‐fidelity electrophysiological monitoring, even in challenging conditions ...
Jiuqiang Li   +10 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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