Results 131 to 140 of about 30,449 (185)
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
Thiophene-Based Ligands for Specific Assignment of Distinct Aβ Pathologies in Alzheimer's Disease
Aggregated species of amyloid-β (Aβ) are one of the pathological hallmarks in Alzheimer’s disease (AD), and ligands that selectively target different Aβ deposits are of great interest.
Therése Klingstedt (2354767) +7 more
core +1 more source
This review surveys organic electrochemical transistors as core building blocks for energy‐autonomous bio‐integrated electronics. We outline device physics, OMIEC materials, and electrolyte effects that enable sub‐volt, high‐gain operation, and discuss direct coupling with mechanical, thermal, and optical energy harvesters to realize battery‐free ...
Jonggeun Park +3 more
wiley +1 more source
The rigid fused backbone of Y6‐series acceptors is deconstructed into a modular, non‐fused A‐π‐A′‐π‐A architecture. Comprehensive quantum chemical simulations reveal that strategic core and π‐bridge engineering preserves strong near‐infrared light‐harvesting and enhances intramolecular charge‐transfer character.
Qurat ul Ain +7 more
wiley +1 more source
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
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
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
Catalytic strain‐release ring opening and functionalizations of 1‐azabicyclo[1.1.0]butanes (ABBs) represent a promising strategy for accessing diverse azetidine products. These transformations proceed via polar pathways, radical pathways, and hybrid mechanisms that combine both.
James Shao‐Jiun Yang +1 more
wiley +2 more sources
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
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
Pd‐catalyzed C–H arylation of polycyclic aromatic hydrocarbons (PAHs) with various aryltrimethylsilanes enables the preparation of structurally complicated arylated PAHs, which can be further transformed to nanographenes in a manner of two‐step annulative π‐extension (APEX) reaction.
Honami Katsuragawa +5 more
wiley +2 more sources

