The integration of machine learning and logical reasoning has long been considered a holy grail problem in artificial intelligence. ABductive Learning (ABL) is a paradigm that integrates machine learning and logical reasoning in a unified framework.

In a paper published in National Science Review, an international team of scientists introduce a new perspective review on liquid-solid composite materials by exploring confined interface behavior. They explore these materials through the collaborative and complementary design of liquid materials and solid materials within the confined interface, especially focusing on the motion behavior of confined liquids. The article focuses on the frontier development of the confined interface behavior of liquid-solid composites. And it puts forward for the first time the concept and connotation of liquid-based confined interface materials (LCIMs), further discussing the challenges and opportunities in its future development.

A study published in National Science Review reveals that carbon-14 (C-14) from algae can integrate into zebrafish biomolecules through a food chain transfer pathway, causing metabolic changes and neurological alterations.

A research team led by Professor Chuanxin He at Shenzhen University employed innovative organic doping strategies to modify a large number of molecules within Pt nanocrystals, significantly altering the catalytic properties of metallic Pt. Notably, the electrocatalytic hydrogen evolution performance, which typically dominates in aqueous solution systems, has been successfully transformed into CO₂ electroreduction reaction (CO₂RR). The synthesized PtNPs@Th catalyst demonstrates the ability to electrochemically reduce CO₂ to methane (CH₄) under acidic conditions, exhibiting stability for over 100 hours.