Robotics & Machine Learning Daily News2024,Issue(Feb.15) :26-27.DOI:10.1016/j.xcrp.2023.101553

Researchers’ Work from Friedrich-Schiller-University Jena Focuses on Machine Learning (Fingerprint Applicable for Machine Learning Tested On Lcst Behavior of Polymers)

Robotics & Machine Learning Daily News2024,Issue(Feb.15) :26-27.DOI:10.1016/j.xcrp.2023.101553

Researchers’ Work from Friedrich-Schiller-University Jena Focuses on Machine Learning (Fingerprint Applicable for Machine Learning Tested On Lcst Behavior of Polymers)

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Abstract

Investigators discuss new findings in Machine Learning. According to news reporting out of Jena, Germany, by NewsRx editors, research stated, “Since the 1990s, there have been many attempts to efficiently decode molecules; however, for polymers, some descriptions have always been neglected. Details like position and occurrence of molecular structural patterns are hardly possible with such techniques.”

Key words

Jena/Germany/Europe/Cyborgs/Emerging Technologies/Machine Learning/Friedrich-Schiller-University Jena

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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被引量1
参考文献量42
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