In a ground-breaking first, researchers have for the first time prepared catalyst with excellent CO₂ cycloaddition catalytic performance for single-atom copper by utilizing the nano-constrained environment between the silica wall and the templating agent in mesoporous silica KIT-6. This strategy provides a new idea for the convenient preparation of single-atom catalysts.

Researchers developed a computational model to optimize melt crystallization—a low-energy method for producing ultra-pure dimethyl carbonate (DMC). The study reveals how natural convection shapes crystal layer and proposes heating strategies to improve efficiency, offering industry a sustainable path to high-purity materials.

The article utilizes the friction electromagnetic induction coupling mechanism to design a single fiber based Fibre-WBAN it converts the mechanical energy generated by the human body movement into electrical signals and uses the fiber coils to convert the low-frequency time-domain signals into high-frequency frequency-domain signals (40 MHz) for wireless data transmission.

A deep learning-based scheme is proposed for automated and efficient processing of teleseismic phases.

1. The validation with two teleseismic phases, PcP and PKiKP, demonstrate high detection accuracies and low picking errors.

2. Deep-learning picking of first peaks is more accurate than picking first breaks of teleseismic phases.

3. This proposed scheme would enhance mining of teleseismic phases and probing of Earth's interior structures and their dynamics.

A research team led by Academician YU Shuhong from the University of Science and Technology of China (USTC) of Chinese Academy of Sciences (CAS) reported a new strategy for preparing the nacre-like ceramic-metal composites (ceramets) based on deformable alumina microspheres coated with nickel salt. The material has excellent bending strength and fracture toughness, and can be mass-produced in various shapes through simple techniques. This research was published in National Science Review.

Research teams led by Prof. PAN Jianwei, LU Chaoyang, HU Yongheng, and others have realized a high-performance single-photon source with an efficiency beyond the scalable linear optical quantum computing loss tolerance threshold for the first time, and the comprehensive indicators have reached the international advanced level. The results were published in Nature Photonics on February 28^th.

Research teams led by Prof. LUO Xisheng and Prof. SI Ting from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) established a theoretical method for designing smooth curved wall surfaces with variable cross-section shock tubes, and developed an integrated, high-intensity multifunctional shock tube device. The study was published in Review of Scientific Instruments.

Based on the device and techniques, the research team further developed a discontinuous perturbation interface generation technology, pioneering the experimental and mechanistic study of strong shock wave impact on single-mode fluid interface instability in shock tubes. The results were published in Journal of Fluid Mechanics in the form of Rapids.

Recently, researchers from the University of Science and Technology of China (USTC) reveals that not all forms of quantum nonlocality guarantee intrinsic randomness. They demonstrated that violating two-input Bell inequalities is both necessary and sufficient for certifying randomness, but this equivalence breaks down in scenarios involving multiple inputs. This finding has been published in Physical Review Letters

A research team led by Prof. SHI Long and Prof. ZHANG Heping from the University of Science and Technology of China (USTC) of Chinese Academy of Sciences (CAS) established the most comprehensive city-level fire incident database to date, covering 20.6% of the global population and quantified the intrinsic link between climate change and urban fire risks. The study was published in Nature Cities.