As artificial intelligence (AI) and smart gadgets become more common, our need for reliable power sources grows. Renewable energy options like solar and wind are great, but they depend on specific conditions. A research team led by Professor Dong-Myeong Shin from the Department of Mechanical Engineering at the University of Hong Kong (HKU) has developed a novel moisture-activated electricity generator (MEG) that offers a fresh, eco-friendly way to generate electricity — just from moisture in the air.

Funded by the Hong Kong SAR Government’s Public Policy Research (PPR) Funding Scheme, the University of Hong Kong’s Department of Real Estate and Construction has completed a study on the relics of the territory’s pillboxes (PBs), constructed by both its defenders and invaders during World War II (WWII).  The research team found that many hill paths leading to these historical sites have disappeared for various reasons, thereby hindering access for prospective visitors.  This has resulted in a significant waste of potential tourism and educational resources.

A global collaboration including Sunwoda, Chery, Nobel laureate M. Stanley Whittingham, Semitronix, the University of Delaware, and Advance Power, has proposed the "Integrated Battery Large Model," the first AI-driven paradigm covering the entire lithium-ion battery lifecycle. Published in National Science Open, the work outlines a new paradigm for intelligent battery design, manufacturing optimization, defect diagnosis, and lifecycle management through multi-modal AI and simulation synergy.

High-resolution full-color quantum dot light-emitting diode (QLED) displays still face significant challenges, particularly limitations in restricted pixelation manufacturing process and the operational longevity of specific pixels. Researchers have developed a single-layer color-tunable QLEDs technology that achieves color-tunable emission via operating voltage adjustment, avoiding complex tandem structures while demonstrating record-breaking external quantum efficiency （EQE） and broad color gamut including standard white emission, highlighting significant potential for application in full-color display and lighting technologies.

Artificial intelligence is reshaping brain modeling. This review introduces a unified framework where AI functions as a surrogate brain by integrating dynamical modeling, inverse problem solving, and model evaluation. Trained on neural data, surrogate brains can accurately predict large-scale brain activity and support system analysis, virtual experiments, and model-guided neurostimulation.

EMBARGOED: A new study to be presented Dec. 6 at the 2025 American Society of Hematology (ASH) meeting reveals that even subtle disruptions in genome architecture can predispose individuals to lymphoma. This finding offers a new perspective on understanding and eventually treating blood cancers.

Professor Yongzhe Wun's team at East China University of Science and Technology significantly improved the interfacial contact and mechanical stability of inverted perovskite solar cells by constructing triphenylamine-based co-assembled hole transport monolayers. This work addressed key issues such as poor interfacial wettability and insufficient mechanical stability of traditional carbazole-based self-assembled monolayers (e.g., Me-4PACz) in inverted perovskite solar cells. They designed and synthesized a series of multi-legged triphenylamine derivatives (TPA-nCPA) containing cyanoethylphosphonic acid anchoring groups and innovatively proposed a co-assembly strategy with Me-4PACz. Rigid devices fabricated based on this strategy achieved an excellent photoelectric conversion efficiency of 26.27%, while flexible devices achieved an efficiency of 22.38%. Furthermore, after 5000 cycles at a 5mm bending radius, they maintained 90% of their initial efficiency, demonstrating outstanding mechanical stability. The article was published as an open access research article in CCS Chemistry, the flagship journal of the Chinese Chemical Society.