Robotics & Machine Learning Daily News2024,Issue(Apr.17) :59-60.

Researchers from East China University of Science and Technology Discuss Finding s in Machine Learning (Elucidating the Local Structure and Properties of Molten Na2co3-k2co3 Salts Using Machine Learning-driven Molecular Dynamics)

Robotics & Machine Learning Daily News2024,Issue(Apr.17) :59-60.

Researchers from East China University of Science and Technology Discuss Finding s in Machine Learning (Elucidating the Local Structure and Properties of Molten Na2co3-k2co3 Salts Using Machine Learning-driven Molecular Dynamics)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting originating inShanghai, People’s Republic of China, by NewsRx journalists, research stated, “Molten Na2CO3-K2CO3binary salts have shown promise as electrolytes for fuel cell technology. Extensive investigations of thelocal structure and transport properties of these melts have been conduc ted via experiments and moleculardynamics (MD) simulations.”

Key words

Shanghai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Molecular Dynamics/Physic s/East China University of Science andTechnology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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