Catal. Sci. Technol., 2024, Accepted Manuscript DOI: 10.1039/D4CY00925H, PaperGeorge E. P. O'Connell, Richard Francis Webster, Elise Elkington, Rose Amal, Jason Scott, Emma Catherine Lovell Introducing light to thermal DRM may be an effective strategy to improve catalyst stability, but light’s role in the stability mechanism is not well understood....

Catal. Sci. Technol., 2024, Accepted Manuscript DOI: 10.1039/D4CY00955J, CommunicationZhaotian Wu, Xuefei Sha, Shan Wang, Huan Yang, Shaojun Zheng, Chunhui Jiang, Shu-Yang Chen, Hongfei Lu Visible-light-induced cross-dehydrogenative coupling between heptameric cyclic imine derivatives and di-aryl phosphine oxides has been developed and heptameric cyclic...

Catal. Sci. Technol., 2024, Accepted Manuscript DOI: 10.1039/D4CY00913D, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Daniel James Ward, Daniel J. Saccomando, Filipe Vilela, Gary Walker, Stephen M Mansell Hf(OTf)4 was identified as an excellent catalyst for the low temperature (180...

Catal. Sci. Technol., 2024, Accepted Manuscript DOI: 10.1039/D4CY01080A, PaperTeppei Miyamoto, Atsushi Takagaki, Jun Tae Song, Motonori Watanabe, Tatsumi Ishihara Boron nitride has received much attention as an emerging heterogeneous catalyst. Porous boron nitride catalysts were synthesized using boric acid (B) and urea (U) at various molar ratio via...

Catal. Sci. Technol., 2024, Accepted Manuscript DOI: 10.1039/D4CY00248B, PaperHaobin Tan, Xiuli Hou, Chen Zhou, Shengbo Wang, Qiang Liu, Zhenhui Xu, Peng Zhang Designing efficient, abundant, and durable catalysts for heterogeneous Fenton reaction is essential for the development of novel advanced oxygenated systems. The high complexity of reaction mechanism...

Catal. Sci. Technol., 2024, Accepted Manuscript DOI: 10.1039/D4CY01000K, PaperJonathan Yik Chang Ting, George Opletal, Amanda S. Barnard The application of supervised machine learning to the study of catalytic metal nanoparticles has been shown to deliver excellent performance for a range of predictive tasks. However, this success assumes... The content...