Robotics & Machine Learning Daily News2024,Issue(Jul.1) :86-87.

East China Normal University Reports Findings in Machine Learning (Machine Learn ing-Guided Prediction of Desalination Capacity and Rate of Porous Carbons for Ca pacitive Deionization)

华东师范大学报告机器学习的发现(机器学习指导下的海水淡化能力和多孔碳钙去离子速率预测)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :86-87.

East China Normal University Reports Findings in Machine Learning (Machine Learn ing-Guided Prediction of Desalination Capacity and Rate of Porous Carbons for Ca pacitive Deionization)

华东师范大学报告机器学习的发现(机器学习指导下的海水淡化能力和多孔碳钙去离子速率预测)

扫码查看

摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据中国人民代表大会上海的新闻报道,NewsRx编辑的研究表明:“目前,电容去离子(CDI)已经成为海水淡化领域的一项突出技术,主要是利用多孔碳作为电极。然而,电极性质和操作条件对海水淡化性能形成的确切意义仍然模糊不清,需要进行大量耗时和耗费资源的CDI实验。”国家自然科学基金、山东省自然科学基金资助本研究。

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 out of Shanghai, People’s Rep ublic of China, by NewsRx editors, research stated, “Nowadays, capacitive deioni zation (CDI) has emerged as a prominent technology in the desalination field, ty pically utilizing porous carbons as electrodes. However, the precise significanc e of electrode properties and operational conditions in shaping desalination per formance remains blurry, necessitating numerous timeconsuming and resource-inte nsive CDI experiments.” Financial supporters for this research include National Natural Science Foundati on of China, Natural Science Foundation of Shandong Province.

Key words

Shanghai/People's Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文