Robotics & Machine Learning Daily News2024,Issue(Nov.29) :51-52.

New Findings in Machine Learning Described from Southern University of Science a nd Technology (SUSTech) (Optimization of Porous Structures Via Machine Learning for Solar Thermochemical Fuel Production)

南方科技大学(SUSTech)(太阳能热化学燃料生产中通过机器学习优化多孔结构)描述的机器学习的新发现

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :51-52.

New Findings in Machine Learning Described from Southern University of Science a nd Technology (SUSTech) (Optimization of Porous Structures Via Machine Learning for Solar Thermochemical Fuel Production)

南方科技大学(SUSTech)(太阳能热化学燃料生产中通过机器学习优化多孔结构)描述的机器学习的新发现

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。根据来自中国人民共和国深圳的新闻,由NewsRx记者报道,研究称,多孔反应物是太阳能热化学反应的关键组成部分,对太阳能热化学反应有重要影响能源转换和燃料生产性能。三周期最小表面(TPMS)结构,具有解析表达式和可预测的结构性能关系,可以方便地进行设计和优化这种结构"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews originating from Shenzhen, People’s R epublic of China, by NewsRx correspondents, research stated,“Porous reactant is the key component in solar thermochemical reactions, significantly affecting th e solarenergy conversion and fuel production performance. Triply periodic minim al surface (TPMS) structures,with analytical expressions and predictable struct ure-property relationships, can facilitate the design andoptimization of such s tructures.”

Key words

Shenzhen/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Southern University of Sci ence and Technology (SUSTech)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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