Analytical Chemistry researchers at the University of Amsterdam’s Van ‘t Hoff Institute for Molecular Sciences (HIMS) have developed a novel algorithm that significantly improves the analysis of copolymers. It allows the determination of their block structure, which has until now been impossible using common analytical approaches. The researchers present their achievement in two recent scientific papers in ACS Macromolecules and Analytica Chimica Acta.

In the first study of its kind, researchers at the RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) in Japan have used artificial intelligence to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the origins of our own galaxy, particularly the elements essential for life in the Milky Way.

Jürgen Czarske's team at the Technical University of Dresden in Germany used FPGA technology to achieve mode decomposition in multimode fiber communications, significantly reducing latency and power consumption, and effectively improving the efficiency of real-time data transmission. This research has broad application potential in the fields of classical communication systems, medical endoscopes, and high-precision sensors, and has contributed to advancing the industrialization of related technologies.

Scientists have studied a new target for antibiotics in the greatest detail yet – in the fight against antibiotic resistance.