Towards unlocking the full potential of sodium- and potassium-ion batteries
Peer-Reviewed Publication
Updates every hour. Last Updated: 10-Jun-2026 18:15 ET (10-Jun-2026 22:15 GMT/UTC)
Next-generation sodium- and potassium-ion batteries offer resource-unconstrained, cost-effective, and sustainable energy storage systems. In a recent review, researchers from Japan redefine the electrode-electrolyte interphase (SEI and CEI) to improve battery stability and performance. By systematically analyzing these overlooked layers, the team demonstrates how controlling interfacial reactions can influence electrochemical performance and safety. Their findings could accelerate the development of the next-generation battery systems for grid storage, electric vehicles, and other energy applications.
Hydrogen bonds, best known for holding water molecules and biological structures together, are now shown to play a powerful role in solar energy conversion. In a study published in National Science Review, researchers from Inner Mongolia University and Tsinghua University demonstrate that strategically engineered hydrogen-bond interactions can significantly enhance charge separation, which still remains a major obstacle in artificial photosynthesis. By linking perylene diimide and aminated fullerene through hydrogen bonds, the system creates a polarized “charge bridge” that simultaneously promotes exciton delocalization and accelerates charge migration, resulting in markedly enhanced solar-to-oxygen conversion efficiency. These findings provide new insights into charge dynamics and offer a promising strategy for designing high-performance organic photocatalysts.
Can an AI truly think like a human? A model named Centaur, which can mimic human performance on 160 cognitive tasks, is now under scrutiny. Recent research suggests it may not genuinely understand the tasks but instead relies heavily on statistical patterns from its training data. This finding underscores a crucial challenge: for AI to achieve general cognitive abilities, genuine language comprehension—not mere pattern matching—remains the key bottleneck.
Researchers have developed Knowledge Extractor. This is a scientific framework designed to transition AI from a passive tool into a supportive research partner. By linking a large language model fine-tuned for this domain with a dynamic knowledge base, the Hydrogen Agent system can collect data, analyze technical trends, and produce strategic reports for the hydrogen energy sector.