Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By introducing signed distance fields and three-dimensional convolutional neural networks, this method can significantly accelerate electrode design while maintaining high accuracy. It is widely applicable to fuel cells, water electrolyzers, flow batteries, etc.

The first ab initio calculation of the rarest electromagnetic transition in atomic nuclei, the hexacontatetrapole E6 transition in ⁵³Fe, has been performed. Using the valence-space in-medium similarity renormalization group (VS-IMSRG) methods with realistic nuclear force and bare nucleon charges, the study has successfully explained both the excitation energies and electromagnetic decay rates of the unique T_1/2 = 2.54-minutes J^π = 19/2^- isomer at 3.0 MeV. This study provides unprecedented insights into nuclear structure under extreme conditions and validates ab initio approaches for describing the high-multipole electromagnetic transitions in atomic nuclei. The research demonstrates that the formation of 19/2^- isomer arises from the pure 0f_7/2 orbital configuration.

The study, published in PLoS Computational Biology, shows that the balance between two types of inhibition regulates how brain rhythms communicate, enabling flexible and efficient information routing. The research was carried out by the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC UIB-CSIC), the Institute for Neurosciences (IN CSIC-UMH), and Aix-Marseille University (France).

Wheat is one of the world's most important staple foods, especially in the form of bread. A joint study by the Leibniz Institute for Food Systems Biology at the Technical University of Munich (LSB) and the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) now shows that extremely dwarf wheat has a less favorable gluten composition than semi-dwarf, dwarf, or tall wild type wheat, and therefore produces flour with poorer baking properties.

Tropical cyclones (or hurricanes) are intense storms often featuring high winds, heavy rain and the potential for a lot of damage. Despite the wealth of information on cyclone impacts themselves, there has not been much learned about the impacts cyclones have on oceanic stability and recovery. The Bay of Bengal (BoB) is a hotspot for such activity, leading researchers to look into how the pre-monsoon and post-monsoon seasons might shape the frequency and tenacity of tropical cyclones in this area. A team of researchers compared pre-monsoon and post-monsoon tropical cyclones of the same categories using the same key markers to find significant differences in oceanic conditions between the two seasons. The information found highlights the importance of seasonality in cyclone intensity and the ocean’s response pertaining not only to the Bay of Bengal but also to areas with similar conditions.