Robotics & Machine Learning Daily News2024,Issue(Nov.12) :29-30.

Reports from Massachusetts Institute of Technology Advance Knowledge in Machine Learning (3-d Full-field Reconstruction of Chemically Reacting Flow Towards High -dimension Conditions Through Machine Learning)

麻省理工学院的报告:机器学习的先进知识(通过机器学习对化学反应流向高维条件的三维全场重建)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :29-30.

Reports from Massachusetts Institute of Technology Advance Knowledge in Machine Learning (3-d Full-field Reconstruction of Chemically Reacting Flow Towards High -dimension Conditions Through Machine Learning)

麻省理工学院的报告:机器学习的先进知识(通过机器学习对化学反应流向高维条件的三维全场重建)

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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-调查人员发布马学习新报告。根据新闻报道NewsRx记者源于剑桥,Metriuse TTS,研究称,“化学监测”反应flo-w是各种化工转化过程优化和控制的关键情景。这些过程常常受到多种因素的影响,从而形成一种高维的条件给计算流体力学带来密集补偿成本的空间(CFD)方法。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Cambridge, Massachuse tts, by NewsRx journalists, research stated, “Monitoring chemicallyreacting flo w is crucial for optimizing and controlling the conversion processes in various chemical engineeringscenarios. These processes are often influenced by multiple factors, creating a highdimensional conditionspace that imposes intensive comp utational cost to computational fluid dynamics (CFD) methods.”

Key words

Cambridge/Massachusetts/United States/North and Central America/Computational Fluid Dynamics/Cyborgs/Emerging Tech nologies/Fluid Mechanics/Machine Learning/Massachusetts Institute of Technolo gy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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