Recently, Chinese researchers have developed an automated system for simultaneous separation and purification of medical isotopes actinium-225 and radium-223.

Researchers from Institute of Physics of the Chinese Academy of Science have developed a quantum sensing approach based on diamond nitrogen-vacancy (NV) centers. Using an integrated device combining quantum sensing system with battery, researchers achieved in-situ monitoring of nanoscale active material particles, demonstrated by Fe3O4 electrodes.

​Recently, Prof. GAO Xiaoming’s team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a novel photoacoustic spectroscopy (PAS)-based sensor that enabled simultaneous, highly sensitive detection of CO2, CH4, and N2O, with improved long-term measurement accuracy.

Recently, Professor YANG Xiaoping's research group at the High Magnetic Field Laboratory, Hefei Institutes of Physical Science of the Chinese Academy of Sciences, discovered a tunable and controllable monoatomic layer two-dimensional electron gas (2DEG) localized at the heterointerface.

A research team has used a machine learning approach to investigate the evolution of shell structure for nuclei far from the stability valley, and reveals the double-magic nature of Tin-100 and the disappearance of the magic number 20 in Oxygen-28.

In a recent review published in Biotechnology for Biofuels and Bioproducts, a research team led by Associated Professor WANG Peng from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, in collaboration with Dr. Rodrigo Ledesma-Amaro from Imperial College London, provided a comprehensive overview of ethanol as a renewable carbon source for producing various high-value products, offering new perspectives for the development of eco-friendly industrial biotechnology processes.

Scientists at the Institute of Modern Physics of the Chinese Academy of Sciences and their collaborators reported the nonradiative double-electron capture (NRDC) in collisions of 95–197 MeV/u bare Xe⁵⁴⁺ ions with Kr and Xe atoms.

A research group led by Prof. YAO Baoli and BAI Chen form Xi'an Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences developed a training-free multi-prior physics-enhanced neural network (MPPN-PSR) for high-throughput, pixel super-resolution quantitative phase imaging.