Results 91 to 100 of about 7,365 (252)

Bi‐Functional Single‐Crystalline Active Layers for Uniform Area‐Emitting Organic Light‐Emitting Transistors

open access: yesAdvanced Electronic Materials, EarlyView.
This work employs monolayer molecular crystals (MMCs) as bi‐functional active layers in organic light‐emitting transistors (OLETs). Thanks to the efficient horizontal hole transport and vertical hole injection, the OLETs show a high mobility of 6.64 cm2V−1s−1 and exhibit uniform area emission.
Zhengyao Pu   +9 more
wiley   +1 more source

Controlling Self‐Doping in Conjugated Polyelectrolyte Copolymers to Vary the Threshold Voltage in OECTs

open access: yesAdvanced Electronic Materials, EarlyView.
Two series of self‐doped conjugated polyelectrolytes are synthesized from a non‐self‐dopable building block 3MEEET and a self‐dopable building‐block 3HOT−[TMA+] or 3HOT−[SO3H] enabling precise control over the degree of self‐doping, which in turn directly governs the threshold voltage (VT) in OECTs over a wide range of 700 mV.
Julian Hungenberg   +7 more
wiley   +1 more source

Toward a Rational Design of Conjugated Copolymers with Oxygenated Side Chains for Boosting Thermoelectric Properties

open access: yesAdvanced Energy Materials, EarlyView.
The molecular design strategy that integrates both side chain and backbone engineering in diketopyrrolopyrrole‐based conjugated polymers to identify the optimal balance between doping efficiency and microstructural order is demonstrated. Comprehensive spectroscopic, electrochemical, morphological, and structural characterizations reveal that the ...
Taewoong Han   +13 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Photo‐Triggered, Fast, and Fluorogenic Thiophene‐Based Cycloalkynes for the Bioorthogonal Fluorescent Labeling of 1,3‐Dipole‐Tagged Molecules in No‐Wash Conditions

open access: yesAngewandte Chemie, EarlyView.
Thiophene is king! The fusion of thiophene rings to cycloalkynes super‐charged their copper‐free click chemistry applications, by (1) enhancing the alkyne reactivity (fastest cyclooctyne to date) and (2) rendering the alkyne fluorogenic (with fluorescence enhancement up to 150‐fold upon reaction), making these bioorthogonal reagents ideal for tracking ...
Jurgen Schulz   +7 more
wiley   +2 more sources

Dual Impact of Long‐Lived Localized Carriers Induced by Restricted Hole Transfer in Organic Photovoltaics and Photocatalytic Hydrogen Evolution

open access: yesAdvanced Energy Materials, EarlyView.
This work clarifies why organic semiconductors perform differently in photovoltaic devices and photocatalytic nanoparticles. By examining D18:Y5 and PM6:Y6 systems, we show how aggregation, exciton lifetime, and interfacial charge transfer behavior govern energy‐conversion pathways.
Gayoung Ham   +14 more
wiley   +1 more source

Light‐Controlled Modulation of 15‐Lipoxygenase‐1 Regulates Intestinal Inflammatory Signaling

open access: yesAngewandte Chemie, EarlyView.
The developed target‐guided strategy enables the rational design of diazo‐based photoswitchable inhibitors of 15‐lipoxygenase‐1. Distinct molecular architectures program opposite light‐dependent activity, allowing on‐demand control of enzyme inhibition.
Anastasia Louka   +10 more
wiley   +2 more sources

Sulphur speciation of PM10 samples by XANES spectroscopy

open access: yesOpen Chemistry, 2009
Cozzi Federico   +5 more
doaj   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

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