Dongguk University scientists uncover novel battery design for industrial energy storage
Peer-Reviewed Publication
Updates every hour. Last Updated: 23-May-2025 21:09 ET (24-May-2025 01:09 GMT/UTC)
Zinc-ion batteries are promising for energy storage, but their traditional current collectors suffer from scalability issues, restricting industrial applications. In a recent study, researchers from Dongguk University have designed a novel alternative current collector in the form of graphene-coated stainless-steel foil. Consequently, they achieve batteries with high electrochemical performance and superior cycling stability, potentially paving the way for industrial-scale systems.
Carbon, the miraculous element in nature, continues to refresh the understanding of materials science. From soft graphite to hard diamond, carbon atoms display dramatically different material structures and properties through various arrangements. Recently, a review by Prof. Yanwu Zhu’s team at University of Science and Technology of China, published in National Science Review, summarizes the latest theoretical prediction and experimental preparation of 3D carbon crystals, painting an exciting blueprint for this field full of possibilities.
The Martian atmosphere has been unexpectedly discovered to be nearly a perfect working medium and unique work patterns of its thermoelectric conversion on Mars have been reported. The inherent advantages of in-situ resource utilization significantly enhance the sustainability of efficient thermoelectric conversion; The inertness, High specific heat capacity, and large molecular characteristics contribute to increased efficiency and power density. Compared to mainstream rare gases, efficiency could improve by 7.4% to 20.0%, and power-density could increase by 1.0% to 14.2%. Notably, conversion efficiency (>22%) can be achieved even at relatively low hot-end temperatures (<973K); Reviewing current space thermoelectric conversion technology, it can achieve higher power-density and efficiency, particularly above 100 kW, it offers significant advantages of lightweight compared to mature technologies; The high-grade waste heat from Martian gas can be utilized for combined oxygen production and heating Mars colony.
The first deep-sea experimental application of diamond quantum vector magnetometer.
A new study led by researchers at the University of Oxford and the Allen Institute for AI (Ai2) has found that large language models (LLMs) – the AI systems behind chatbots like ChatGPT – generalize language patterns in a surprisingly human-like way: through analogy, rather than strict grammatical rules. The findings were published on 9 May in the journal PNAS.
The research challenges a widespread assumption about LLMs: that these learn how to generate language primarily by inferring rules from their training data. Instead, the models rely heavily on stored examples and draw analogies when dealing with unfamiliar words, much as people do.