Results 191 to 200 of about 41,406,751 (291)

Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?

open access: yesAdvanced Materials, EarlyView.
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

open access: yesAdvanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim   +5 more
wiley   +1 more source

Sub‐nm2 Ferroelectric Domains via Charged 180° Walls in ZrO2

open access: yesAdvanced Materials, EarlyView.
Ferroelectric ZrO2${\rm ZrO}_2$ thin films host closely spaced charged 180∘$^{\circ }$ domain walls that vertically compress polar domains beyond their lateral half‐unit‐cell limit. These head‐to‐head and tail‐to‐tail walls show distinct bulk‐like structures, natural oxygen‐mediated stabilization, and highly asymmetric mobility, highlighting new ...
Nashrah Afroze   +33 more
wiley   +1 more source

Ferrocene‐Based Self‐Assembled Monolayers Enable Ultra‐High Specific Detectivity in Perovskite Photodetectors

open access: yesAdvanced Materials, EarlyView.
We report perovskite photodetectors with record specific detectivities exceeding 1013 Jones with a novel molecular design strategy to functionalize self‐assembled monolayers (SAMs) with ferrocene (Fc) derivatives. Fc‐SAM‐based devices also exhibit strong operational stability and enable data transmission rates exceeding 1 Mbps in a LiFi system ...
Edoardo Angela   +10 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng   +24 more
wiley   +1 more source

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