A research team led by Kyushu University have developed a new water-soluble and metal-free molecule that could be detected by both fluorescence imaging and utilized as an MRI contrast agent. The team modified the luminescent organic radical tris(2,4,6-trichlorophenyl) methyl (TTM) to make it water-soluble. The new molecule produced deep-red fluorescence in water and enhanced the contrast of MRI phantom images by approximately 2.5 to 4.5 times stronger than that of previously reported water-soluble TTM radicals.

A new graph-theoretic framework that provides a unified description of atom-light interactions across regimes ranging from weak to deep-strong coupling has been proposed.

Researchers undertook a study of the ocean’s topography to better understand its impact on Earth’s climate. They discovered that the shape of the ocean floor does affect the global climate system. Their research was published in the journal Ocean-Land-Atmosphere Research on August 25, 2026.

Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions work can require laborious experiments that track reactions through time. Researchers at the University of Tokyo have developed a method to extract hidden information on reaction speeds from yield data obtained during reaction optimization using machine learning together with rate equations developed by chemists. Concentration-dependent yield analysis (CYAN) uses machine learning to expand the yield data from reaction optimization experiments, then uses this information to calculate how quickly the different steps of a reaction occur. This gives chemists a tool to understand, improve and design complex high-yield chemical reactions. 

The high O–H bond strength of common alcohols prevents their direct hydrogen atom transfer (HAT) activation. By leveraging the β-silicon effect in α-silyl alcohols, the research group of Professor Xiao Shen at Wuhan University weaken the O–H bond to enable redox-neutral, photoinduced homolysis using thioxanthone. The resulting alkoxy radicals undergo Brook rearrangement to carbon radicals, which are intercepted by nickel catalysis for enantioconvergent cross-couplings with acyl chlorides and aryl bromides. This protocol tolerates substrates inert under classical SET/PCET conditions and establishes direct HAT as a versatile platform.

Researchers at Zhejiang University have developed AtomDiT, a machine learning framework that builds a digital twin of dislocations from a single high-resolution electron micrograph. The twin simultaneously reveals dislocation type and position, local stress, and chemical fields. Demonstrated across metals and alloys, including dual-phase systems and hydrogen-segregated grain boundaries, AtomDiT uncovers how stress and chemistry govern dislocation motion, offering a new route to understanding crystal deformation and damage.