Computational Fluid Dynamics (CFD) is a pivotal tool in modern engineering and scientific research. As simulation scale increases, computational acceleration for CFD have become a prominent focus. The implicit-explicit (IMEX) method partitions spatial regions to apply implicit or explicit methods, maintaining numerical stability while enhancing computational efficiency. Numerical results demonstrate that IMEX methods achieve efficiency improvements exceeding an order of magnitude compared to classical methods. In the future, coupling IMEX methods with GPU architectures will achieve greater computational speedups in extreme-scale simulations.

Researchers from Ningbo University and The University of Hong Kong have proposed a novel 3D nanoprinting technique to fabricate high-resolution piezoceramic structures. This method enables precise control over PZT nanostructures with high elasticity and exceptional piezoelectric performance. Their breakthrough allows the creation of flexible, ultra-sensitive sensors, including a bionic air-flow sensor capable of detecting airflow as low as 0.02 m·s⁻¹—nearly 10 times more sensitive than conventional designs.

This innovation paves the way for next-generation piezoelectric devices in industrial sensing, biomedical implants, and IoT applications, offering a scalable and efficient approach to high-performance nanomanufacturing.

Neuromorphic computing, which mimics architecture of brain, could support growing energy demands of AI

Chrysanthemums—prized for their beauty and medicinal value—have long lacked a centralized, data-rich research platform. That's about to change. 

This study outlines a protocol to generate human pluripotent stem cell-derived myotubes for investigating skeletal muscle aging mechanisms linked to sarcopenia. The method enables gene editing, drug screening, and addresses challenges like differentiation efficiency and senescence variability, offering a translational tool to bridge aging research and therapeutic development.

This study overcomes the challenge of imaging low-copy-number proteins in live cells by combining Halo-SiR labeling with sparse deconvolution structured illumination microscopy (Sparse-SIM). Targeting nuclear pore complexes (NPCs), Halo-SiR-tagged POM121 achieved 6× higher fluorescence intensity and 4× greater contrast than conventional mCherry tags, alongside minimal photobleaching during 200-frame SR imaging. This enabled the discovery of dynamic NPC remodeling, including heterogeneous architectures (ring-like and cluster-like structures) and sequential recruitment of nucleoporins. The method establishes a versatile tool for prolonged live-cell SR imaging of low-abundance targets, with potential applications in studying rare membrane proteins or transient complexes. Future integration with advanced microscopy and computational models could further enhance its spatiotemporal resolution.

Cryogenic electron microscopy (cryoEM) faces challenges such as particle aggregation, preferential orientation, and loss at the air-water interface (AWI), particularly for membrane proteins like the ClC-1 channel. This study demonstrates that particles migrate to the AWI to minimize surface energy, a behavior mitigated by adding surfactants to reduce surface tension. CryoET and single-particle cryoEM experiments with GroEL revealed that surfactants reduce AWI adsorption from >90% to <20% while preserving structural integrity (≤3 Å resolution). Applied to the ClC-1 channel, this approach enabled its first near-atomic structure determination (3.8 Å), resolving ion transport mechanisms. The surfactant-based strategy provides a simple, universal solution to AWI artifacts, expanding cryoEM’s applicability to previously intractable targets.