A team from EPCC proposed FLAPS, a fluctuation-aware power auction strategy to optimize data center power utilization. FLAPS reduces power overload by 9%–10% while maintaining high resource utilization.

In joint research with The University of Tokyo (UTokyo) and Nagoya University, National Institute for Materials Science (NIMS) developed a new material "thermoelectric permanent magnet" exhibiting extremely high transverse thermoelectric conversion performance, and achieved transverse thermoelectric generation with a power density of 56.7 mW/cm² around room temperature in a thermoelectric-permanent-magnet-based module. When converted into a value per applied temperature gradient, this is not only the world’s highest power density among transverse thermoelectric modules, but a performance even comparable to commercial longitudinal thermoelectric modules. This achievement is expected to lead to thermal energy harvesting and management technologies that can be utilized everywhere magnets are used. This research result was published in Energy & Environmental Science on March 18, 2025.

Edible yeast Candida utilis can produce high-quality protein using DHA with 60.1% protein content at rapid growth rates, supporting sustainable feed and food supply.

A novel gas-lift reactor successfully improved the production efficiency of hydrogen oxidizing bacteria single cell protein, providing a new solution for sustainable biomanufacturing.

Researchers developed a continuous-flow synthesis method to precisely control the size of cerium oxide nanoparticles down to 1.3 nm. This enabled the first direct investigation of size effects in metal oxides, revealing structural distortions and unexpected Ce³⁺ states—insights that could advance the design of catalytic and electronic nanomaterials.

Researchers from the China Institute of Atomic Energy (CIAE) and Lanzhou University have jointly conducted systematic integral experiments using D-T and D-D neutron sources on natural lead (^natPb) slabs. By addressing key data gaps in large-angle neutron scattering and thoroughly validating four major evaluated nuclear data libraries, this study establishes new benchmark data, supporting safer reactor designs, advanced fusion systems, and optimized radiation shielding applications.

This study is pleased to present a seminal study examining reserve management strategies across 45197 company-line-year observations from 2000-2012. The research pioneers line-of-business-level analysis to disentangle insurers' multidimensional incentives—tax optimization versus solvency management—through structural reserve adjustments. Employing two-way clustered fixed-effects models and regulatory policy shocks, the study establishes causal evidence of strategic reserve allocation patterns previously undocumented in actuarial literature.

Researchers from Nanjing University of Science and Technology have developed a novel computational method called BlastGraphNet, which uses graph neural networks to predict the distribution of blast loads on complex 3D buildings. This data-driven approach offers significant improvements in accuracy and efficiency compared to traditional methods, with potential applications in structural design, civil defense, and safety assessments. The study, published in Engineering, demonstrates the model’s ability to provide rapid and precise predictions of blast loads, supporting more effective risk management and engineering solutions.