Results 161 to 170 of about 740,617 (344)

Azaporphyrinoid‐Based Photo‐ and Electroactive Architectures for Advanced Functional Materials

open access: yesAdvanced Materials, EarlyView.
A long‐standing collaboration between the Torres and Guldi groups has yielded diverse azaporphyrinoid‐based donor‐acceptor nanohybrids with promising applications in solar energy conversion. This conspectus highlights key molecular platforms and structure‐function relationships that govern light and charge management, supporting the rational design of ...
Jorge Labella   +3 more
wiley   +1 more source

A REMARK ON THE TOPOLOGICAL ENTROPY

open access: yesMemoirs of the Faculty of Science, Kyushu University. Series A, Mathematics, 1972
Haruo Totoki, Toshihiro Hamachi
openaire   +4 more sources

Reticular Frameworks for Advanced Polymer Materials

open access: yesAdvanced Materials, EarlyView.
Reticular frameworks (RFs) such as metal–organic frameworks, covalent organic frameworks, and hydrogen‐bonded organic frameworks offer versatile platforms for polymer materials innovation, enabling regulated polymerization, efficient macromolecular purification, and polymer functionalization.
Bohan Cheng   +2 more
wiley   +1 more source

From Stripes to Hexagons: Strain‐Induced 2D Pb Phases Confined Between Graphene and SiC

open access: yesAdvanced Materials Interfaces, EarlyView.
Intercalating Pb beneath epitaxial graphene on SiC(0001) stabilizes distinct 2D phases at the interface. Using LEED, LEEM, SEM, and STM, the formation of characteristic stripe and hexagonal Pb monolayer structures is observed, and atomistic models are provided.
Markus Gruschwitz   +6 more
wiley   +1 more source

Polypeptide Nanotoroids Formed on Substrate via Solvent Evaporation‐Induced Self‐Assembly

open access: yesAdvanced Materials Interfaces, EarlyView.
Polypeptide nanotoroids are formed on substrates via a solvent evaporation‐induced self‐assembly process, which is driven by the increased interfacial energy of the initially formed polypeptide nanorods upon their exposure to air during the solvent evaporation.
Qi Guo   +3 more
wiley   +1 more source

Applications of QSPR and Machine Learning in Molecular Photonics

open access: yesAdvanced Optical Materials, EarlyView.
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak   +2 more
wiley   +1 more source

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