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Fully organic photocatalyst systems are highly attractive, not merely because they are transition-metal free, but more importantly due to their unique and often potent reactivity. A detailed understanding of the various redox states, both ground and excited state, and specifically what structural parameters control them is therefore crucial for harnessing the full potential of these systems in organic synthesis. However, unlike their organometallic counterparts, detailed structure-property relationships for organic photocatalysts are largely absent from the literature. In this study, we demonstrate linear free-energy relationships across a range of key photophysical and electrochemical properties of 2,6-diarylpyryliums. Electronic absorption and emission maxima can be carefully tuned over the ranges of 83 nm and 102 nm respectively. Intramolecular charge transfer (ICT) interactions were revealed in cases of substitution with polarizable heavy-atoms. A strong linear dependence of ground state reduction potentials on substituent electronics was observed. Notably, the excited state reduction potential, E*, could be controlled over a range of nearly 1000 mV. Systematic errors in computational modeling of ground and excited state redox potentials were identified and corrected. We believe the quantitative structure-property relationships identified here provide foundational tools for rational and predictive organic photocatalyst design.
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http://dx.doi.org/10.1002/chem.202403543 | DOI Listing |
J Chem Inf Model
September 2025
Department of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona 85721-0041, United States.
The development of low-cost, high-performance materials with enhanced transparency in the long-wavelength infrared (LWIR) region (800-1250 cm/8-12.5 μm) is essential for advancing thermal imaging and sensing technologies. Traditional LWIR optics rely on costly inorganic materials, limiting their broader deployment.
View Article and Find Full Text PDFJ Chem Phys
September 2025
National Synchrotron Radiation Laboratory, State Key Laboratory of Advanced Glass Materials, Anhui Provincial Engineering Research Center for Advanced Functional Polymer Films, University of Science and Technology of China, Hefei, Anhui 230029, China.
Polymer density is a critical factor influencing material performance and industrial applications, and it can be tailored by modifying the chemical structure of repeating units. Traditional polymer density characterization methods rely heavily on domain expertise; however, the vast chemical space comprising over one million potential polymer structures makes conventional experimental screening inefficient and costly. In this study, we proposed a machine learning framework for polymer density prediction, rigorously evaluating four models: neural networks (NNs), random forest (RF), XGBoost, and graph convolutional neural networks (GCNNs).
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
Faculty of Chemistry, Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, PL-50370 Wrocław, Poland.
Computer simulations play an essential role in the interpretation of experimental multiphoton absorption spectra. In addition, models derived from theory allow for the establishment of "structure-property" relationships. This work contributes to these efforts and presents the results of an analysis of two- and three-photon absorptions for a set comprising 450 conjugated molecules performed at the CAM-B3LYP/aug-cc-pVDZ level.
View Article and Find Full Text PDFChemistry
September 2025
Beijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China.
Sequence-controlled polyester-based alternating copolymers have attracted significant interest due to their biocompatibility, biodegradability, closed-loop recyclability, and hydrolytic degradability, offering broad potential in biomedical and sustainable materials. Among the available strategies, regioselective ring-opening polymerization (ROP) of asymmetric cyclic di(thio)esters and cyclic(ester-amide)s has emerged as a promising approach for constructing alternating copolymers with precise sequence- and stereo-control, structural diversity, and tunable properties. This review classifies asymmetric cyclic monomers into two categories: (1) monomers with two aliphatic ester bonds, where regioselectivity is mainly dictated by steric differences and typically requires tailored metal catalysts; and (2) monomers with chemically distinct reactive sites (e.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
Natural Composites Research Group Lab, Department of Materials and Production Engineering, The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut's University of Technology North Bangkok (KMUTNB), Bangkok, Thailand.
This review critically examines the rapidly advancing field of cellulosic natural fibre-reinforced polymer (NFRP) composites, with a particular emphasis on material innovation aligned with sustainability and environmental responsibility. The review presents a systematic analysis of recent literature evaluating the mechanical, thermal, water absorption, wear, and machining characteristics of NFRP composites, as well as the influence of advanced processing approaches such as additive manufacturing. Special attention is given to the structure-property relationships and hybridisation strategies employed to address limitations such as relatively lower mechanical performance and durability compared to synthetic fibre composites.
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