Results 141 to 150 of about 86,061 (298)
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
A novel molecular design strategy is employed to modify the D–A type SAM using an alkyne linker. Incorporation of the alkyne linker enhanced π‐electron delocalization, facilitating more efficient hole transfer, and strengthened interfacial bonding, thereby improving device stability. As a result, the perovskite solar cells achieved an impressive PCE of
Ziyang Xia +8 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
Cyclopenta-thiophenes. VIII. Thiophene Analogues of Isoindenes. [PDF]
Jan Skramstad +5 more
openaire +1 more source
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Convergent Total Synthesis of 16β‐Hydroxylpseudobufarenogin
We present a novel convergent strategy that integrates Pd/Ag‐promoted Suzuki–Miyaura coupling with Ir‐catalyzed radical‐relay cyclization, enabling the first total synthesis of 16β‐hydroxylpseudobufarenogin. This approach is broadly applicable to the total synthesis of various oxygenated bufadienolides by simply modifying the fragment structures ...
Wataru Shigematsu +3 more
wiley +2 more sources
We disclose a novel boron macrocycle derived from the sustainable furan building block. The boraporphyrinoid exhibits a global antiaromatic ring current and dynamic conformational flexibility. Twofold reduction induces a switch to strong global aromaticity, accompanied by stiffening of the porphyrinoid backbone.
Lukas Swoboda +6 more
wiley +2 more sources
Intermolecular Electrophilic Germylation Using GeCl4 and Al2Cl6
While electrophilic aromatic substitution is well‐established for carbon and silicon‐based electrophiles, it is extremely underdeveloped for germanium. Herein we report the first effective intermolecular Germa–Friedel–Crafts reaction. The process can be modified to enable selective synthesis of the mono‐ or the di‐aryl germane derivatives, ArGeCl3 and ...
Justyna Łosiewicz +4 more
wiley +2 more sources
Wir stellen eine kobaltkatalysierte Radikalkaskade vor, die zwei Alken Ausgangsstoffe effizient miteinander verbindet und so in einem einzigen Schritt mehrere Bindungen aufbaut. Der Prozess beginnt mit einem kobaltkatalysierten Wasserstoffatomtransfer an eine Styrol‐Doppelbindung, gefolgt von einer Giese‐Addition.
Jingyang Qin +3 more
wiley +1 more source

