Robotics & Machine Learning Daily News2024,Issue(Jul.3) :24-25.

Research Conducted at University of Ghent Has Provided New Information about Mac hine Learning (Machine Learning Insights Into Caco3 Phase Transitions: Synthesis and Phase Prediction)

根特大学进行的研究提供了关于Mac Hine学习的新信息(机器学习对Caco3相变的洞察:合成和相预测)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :24-25.

Research Conducted at University of Ghent Has Provided New Information about Mac hine Learning (Machine Learning Insights Into Caco3 Phase Transitions: Synthesis and Phase Prediction)

根特大学进行的研究提供了关于Mac Hine学习的新信息(机器学习对Caco3相变的洞察:合成和相预测)

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者在贝尔吉根特的新闻报道,Research称:“机器学习(ML)在许多研究领域迅速扩展,包括设计新的加工程序、成像和材料科学。特别是,ML能够设计复杂结构的新材料,并通过现有数据库的模型预测缩短开发周期。”本研究的资助者包括卓越科学(EOS)计划下的BOF-UGENT、FWO-F.N.R.S、欧盟项目"SurfBio"、FWO、中国奖学金委员会、Be LGIAN联邦科学政策办公室、欧洲航天局。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Ghent, Belgi um, by NewsRx journalists, research stated, “Machine learning (ML) extends rapid ly in many research areas including design of novel processing routines, imaging , and material science. Particularly, ML enables design of new materials with co mplex structures and shorten the development cycle through model prediction from existing database.” Funders for this research include BOF-UGent, FWO-F.N.R.S under the Excellence of Science (EOS) program, EU project “SurfBio”, FWO, China Scholarship Council, Be lgian Federal Science Policy Office, European Space Agency.

Key words

Ghent/Belgium/Europe/Cyborgs/Emergin g Technologies/Machine Learning/University of Ghent

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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