Recently, a research team led by Academician Lijun Wang at CIOMP under UCAS has systematically reviewed the latest advancements in transfer printing (TP) technology. The team detailed its practical applications in integrating III-V semiconductor devices into photonic integrated circuits (PIC), demonstrating its significant potential for developing high-performance, high-reliability PICs. Their work provides crucial theoretical guidance for improving transfer yield and precision, while also offering forward-looking insights into current technical challenges and future development directions for this technology.

An innovative CRISPR-Cpf1-endo-recombinase CauR co-edited platform was developed and successfully applied to the glutamate-producing strain Corynebacterium glutamicum S9114 for high-efficiency production of N-acetylglucosamine (GlcNAc).

A study on the engineering of thermostable endo-polygalacturonase has opened up a new and efficient way for the production of functional oligosaccharides.

An electrode for structural batteries was developed by combining carbon nanotubes (CNT) with quartz woven fabric (QWF), demonstrating the potential for structural batteries applicable to the aerospace and defense industries.

Researchers from the National University of Defense Technology have developed a novel composite fiber Bragg grating using femtosecond laser technology, which effectively suppresses harmful Raman scattering in high-power fiber oscillator lasers. The composite fiber Bragg grating also makes laser systems more compact and stable, unlocking better performance for industrial processing, high-end manufacturing, and biomedicine.

 

Until now, AI services based on Large Language Models (LLMs) have mostly relied on expensive data center GPUs. This has resulted in high operational costs and created a significant barrier to entry for utilizing AI technology. A research team at KAIST has developed a technology that reduces reliance on expensive data center GPUs by utilizing affordable, everyday GPUs to provide AI services at a much lower cost.

Researchers at the Dalian Institute of Chemical Physics have designed a rhodium catalyst whose microenvironment is tuned by both sulfur and phosphine ligands, based on an industrial single-site Rh₁/POPs catalyst. The new “single-site” catalyst hydroformylates propylene and higher olefins up to twice as fast as the current benchmark, while maintaining high selectivity and stability. The study explains how a carefully controlled amount of sulfur can switch from poisoning the catalyst to promoting its performance.