Researchers at The Hong Kong University of Science and Technology (HKUST) have achieved a breakthrough in calcium-ion battery (CIB) technology, which could transform energy storage solutions in everyday life. Utilizing quasi-solid-state electrolytes (QSSEs), these innovative […]
When the sun goes down, solar panels stop working. This is the fundamental hurdle of renewable energy: how to save the sun’s power for a rainy day—or a cold night. Chemists at UC Santa Barbara […]
In the context of global decarbonization, reducing energy consumption in the building sector is an urgent issue. Researchers have developed a next-generation building energy evaluation model that combines rule-based symbolic AI computing with VR technology. […]
The approximately 5 billion people who use the internet daily leave traces of their activity behind. Companies use these data to learn user interests, purchase history, and other browsing habits, and benefit through sales, advertising, […]
Lithium-metal batteries (LMBs) are rechargeable batteries that contain an anode (i.e., the electrode through which current flows and a loss of electrons occurs) made of lithium metal. Compared to conventional lithium-ion batteries (LIBs), which power […]
Rice tiller angle is an important trait affecting population structure, light utilization, planting density, and yield potential. Although several genes affecting tiller angle have been reported, the upstream regulatory networks connecting gravity sensing and hormone […]
A University of Houston professor has taken on the global challenge of reducing the staggering amount of heat generated in artificial intelligence data centers. Hadi Ghasemi, J. Willard Gibbs Distinguished Professor of Mechanical & Aerospace […]
As the world is moving toward more sustainable energy solutions, the emergence of next-generation batteries is a crucial and indispensable milestone. One such next-generation battery is the lithium-ion battery (LIB), which is currently dominating the […]
In a new review, researchers from the Xinjiang Institute of Ecology and Geography (XIEF) of the Chinese Academy of Sciences synthesized evidence and proposed a multi-objective optimization framework for designing farmland windbreak systems that can […]
A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving yield estimates for this key agricultural region and potentially providing strategic benefits to global soybean markets. The […]
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