首页|Research Findings from Centre for Nanotechnology Update Understanding of Machine Learning (Progress of machine learning in materials design for Li-Ion battery)
Research Findings from Centre for Nanotechnology Update Understanding of Machine Learning (Progress of machine learning in materials design for Li-Ion battery)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews originating from the Centre for Nanotechnology by NewsRx correspondents, research stated, “Thewidespread ad option of lithium-ion batteries has ushered in a transformative era across indus tries, poweringan array of devices from portable electronics to electric vehicl es.”The news journalists obtained a quote from the research from Centre for Nanotech nology: “Thisreview explores recent advancements in machine learning tools tail ored for improving battery materials,management strategies, and system-level op timization. It provides a comprehensive overview of the currentlandscape, empha sizing the less-explored evolution of machine learning algorithms in battery mat erials.Machine learning integration enhances our understanding of material prop erties, accelerates the discoveryof efficient compositions, and contributes to the development of more durable lithium-ion batteries. Thearticle also delves i nto machine learnings role in predicting State of Health and remaining useful li fe,crucial for proactive battery maintenance.”
Centre for NanotechnologyCyborgsEmer ging TechnologiesMachine Learning
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