Recently, the research groups led by Prof. ZHANG Qingli and Prof. JIANG Haihe from Hefei institutes of Physical Science (HFIPS) of Chinese Academy of Sciences (CAS) have jointly developed a high-symmetry gradient-doped Nd:YAG laser crystal designed for dual-end pumping configurations. This innovation significantly mitigates thermal effects and enhances laser performance.

A team led by Prof. YIN Huajie from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a solar-powered system that produces green hydrogen directly from atmospheric moisture without relying on external water or energy sources. 

A research team from the Anhui Institute of Optics and Fine Mechanics (AIOFM), the Hefei Institutes of Physical Science of the Chinese Academy of Sciences (CAS), in collaboration with the Hefei Cancer Hospital of CAS, has developed a new method to accurately measure hemoglobin levels in blood using near-infrared spectroscopy (NIRS). 

A research team led by Prof. CHU Yannan at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, has uncovered a new way to detect cancer early—by analyzing the invisible chemical "scents" that the body gives off. 

Researchers from the Institute of Solid State Physics at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, together with the Shenzhen International Graduate School of Tsinghua University and Suzhou University of Technology, have successfully developed a natural electron donor–assisted healing and targeted surface reconstruction strategy that enables the direct regeneration of degraded lithium iron phosphate (LiFePO₄) cathode materials from retired power batteries. 

In a paper published on aBIOTECH, the authors used a symplastic tracing approach and ultrastructural observations to elucidate the role of uninfected cells (UCs) in nutrient storage and transport within root nodules. The authors discovered an extensive network of plasmodesmata connecting infected cells (ICs) and UCs that dynamically regulates nutrient allocation. These finding provide insights into the regulatory mechanisms of symbiotic nitrogen fixation (SNF) and underscore the crucial role of UCs in optimizing nitrogen fixation efficiency.

In a recent paper published on aBIOTECH, the authors integrated epigenomic, transcriptomic, and 3D genomic data to investigate the regulatory mechanisms of plant resistance genes PRRs and NLRs in soybean. Their findings revealed a poised chromatin state of disease resistance genes (R-genes) and a co-regulation mechanism of clustered R-genes mediated by shared chromatin states within topologically associating domains (TADs)

The article examines how machine learning is revolutionizing igneous petrology and volcanology by automating tasks, enhancing models, and accelerating discoveries. At the same time, the authors warn of key challenges, including the need to understand what models actually learn and to ensure transparency, reproducibility, and interpretability. These concerns are especially critical for volcanic hazard assessment and crisis management. The study also addresses ethical risks and reviews evolving policies in the EU, US, and China.

In a paper published on aBIOTECH, so far, the authors have for the first time comprehensively analyzed the post-transcriptional modifications during peanut pod development by Direct RNA method.

In a paper published on aBIOTECH, the authors developed a lightweight open-source deep learning algorithm automates wheat Fusarium Head Blight diseased spikelet rate measurement from phone-captured images. With 93.8% AP and 7.2M parameters, this algorithm is fit for deployment on mobile devices to facilitate resistance breeding.