A roadmap toward practical aqueous zinc-based flow batteries
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Oct-2026 13:17 ET (30-Oct-2026 17:17 GMT/UTC)
Research teams from The University of Hong Kong, led by Professor Chunyi Zhi, have provided a focused review of aqueous Zn-based flow batteries for long-duration energy storage. The review identifies Zn anode reversibility loss and active-species crossover/shuttle as two coupled bottlenecks, and summarizes design strategies that integrate electrolyte regulation, interfacial engineering, electrode architecture, species chemistry, and membrane design.
King’s College London’s School of Biomedical Engineering & Imaging Sciences, and the Daisy Appeal, a medical diagnostics research charity based in northern England, have launched a new collaboration aimed at advancing molecular imaging research and accelerating the development of new treatments for patients across the UK.
Nanyang Technological University, Singapore (NTU Singapore) has completed a month-long flight-test campaign in Germany with Singapore’s first indigenously designed, engineered and built electric vertical take-off and landing (eVTOL) aircraft. The prototypes, comprising 8-metre and 3-metre wingspan variants, are research technology demonstrators, currently not designed to carry passengers. Working with flight-test experts from the German Aerospace Center (DLR), the NTU team flew the larger 8-metre wingspan demonstrator to heights above 90 metres, while the 3-metre wingspan demonstrator reached speeds of more than 120 km/h. The flights generated critical data on the aircraft’s performance. The flights mark a historic first for Singapore, demonstrating the country’s ability to design, engineer, build, integrate and fly a complete electric aircraft. The milestone adds a new capability to Singapore’s established aerospace sector and lays the groundwork for further research into electric aviation.
Cement production generates over a billion metric tons of carbon dioxide gas emissions annually, nearly 8% of total global emissions. Now, researchers are developing an electrically powered, plasma heating method to produce cement without burning fossil fuels. The new method fused raw materials into clinkers within seconds, which is nearly 100 times faster than traditional cement production. The researchers will present their results at ACS Fall 2026.
Researchers from the University of Osaka have developed a fast computational framework that predicts the optical performance of quantum color centers without being restricted to a specific host material. By replacing computationally intensive calculations with simple theoretical formulas and procedures, the method enables rapid screening of promising quantum materials spanning ultraviolet to telecommunication wavelengths.
Tide levels can vary by almost a metre across a single bay, according to a new study that uses decades of satellite images to measure tides at the scale of individual beaches.
Researchers at Technische Universität München and the University of Oxford have led the development of a new technique that can estimate tides along the coast at intervals of just 100 metres. This provides a level of local detail that is difficult to capture using existing tide gauges and satellite measurements.
The study has been published today (25 August) in Nature Communications: Earth and Environment.
Electrochemical energy technologies are central to the net-zero transition, yet their multiscale characteristics ranging from atomic materials to device architectures present critical challenges in research and development (R&D). Although artificial intelligence (AI) has accelerated discovery and design in this field, commonly used predictive AI methods remain limited in enabling disruptive advances. Generative AI has shown transformative potential in disciplines such as biology and medicine, though its impact on electrochemical energy R&D is only beginning to emerge. Here we review recent progress in applying generative AI to molecular and crystal discovery, electrode microstructure design, and system optimization, with particular attention to the role of large language models in electrochemical engineering. We argue for a paradigm shift toward generative electrochemical intelligence (GenE), a physics-informed, multimodal framework that integrates human expertise with automated experimentation. We anticipate that GenE will redefine the R&D paradigm for rapidly deployable electrochemical energy technologies and accelerate their translation into real-world applications.
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.