Robotics & Machine Learning Daily News2024,Issue(Oct.23) :33-34.

Donghua University Reports Findings in Machine Learning (Ultrafast dynamics in s patially confined photoisomerization: accelerated simulations through machine le arning models)

Robotics & Machine Learning Daily News2024,Issue(Oct.23) :33-34.

Donghua University Reports Findings in Machine Learning (Ultrafast dynamics in s patially confined photoisomerization: accelerated simulations through machine le arning models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated, “This study shed s light on the exploration of photoresponsive host-guest systems, highlighting t he intricate interplay between confined spaces and photosensitive guest molecule s. Conducting nonadiabatic molecular dynamics (NAMD) simulations based on electr onic structure calculations for such large systems remains a formidable challenge.”

Key words

Shanghai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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