Studies in the Area of Machine Learning Reported from Argonne National Laboratory (Accelerating multiscale electronic stopping power predictions with time-depen dent density functional theory and machine learning)

Robotics & Machine Learning Daily News2024，Issue(Sep.27) ：49-49.

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Studies in the Area of Machine Learning Reported from Argonne National Laboratory (Accelerating multiscale electronic stopping power predictions with time-depen dent density functional theory and machine learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on artificial intelligence. According to news originating from the Argonne National Laboratory by NewsRx correspondents, research stated, “Knowing the rate at which particle radiation releases energy in a material, the ‘stopping power,’ is key t o designing nuclear reactors, medical treatments, semiconductor and quantum materials, and many other technologies.” Funders for this research include U.S. Department of Energy; United States Department of Defense | United States Navy | Office of Naval Research; National Science Foundation.

Key words

Argonne National Laboratory/Cyborgs/Em erging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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