Researchers from East China University of Science and Technology Describe Findin gs in Intelligent Systems (Semantic Mask-based Two-step Approach: a General Fram ework for X-ray Diffraction Peak Search In High-throughput Molecular Sieve Synth etic ...)

华东理工大学的研究人员描述了智能系统中的Findin GS（基于语义掩模的两步法：高通量分子筛合成中X射线衍射峰搜索的通用框架…）

Robotics & Machine Learning Daily News2024，Issue(Jun.11) ：32-33.

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Researchers from East China University of Science and Technology Describe Findin gs in Intelligent Systems (Semantic Mask-based Two-step Approach: a General Fram ework for X-ray Diffraction Peak Search In High-throughput Molecular Sieve Synth etic ...)

华东理工大学的研究人员描述了智能系统中的Findin GS（基于语义掩模的两步法：高通量分子筛合成中X射线衍射峰搜索的通用框架…）

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-研究人员详细介绍了机器学习-智能系统中的新数据。根据NewsRx编辑在中国上海的新闻报道，研究表明：“在合成实验后，用X射线衍射(XRD)表征分子筛的晶体结构，但对于高通量的分子筛合成系统来说，大通量产生的大量数据使得及时分析变得困难。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning - Intelligent Systems. According to news reporting out of Shanghai, Pe ople’s Republic of China, by NewsRx editors, research stated, “Xray diffraction (XRD) is used for characterizing the crystal structure of molecular sieves afte r synthetic experiments. However, for a high-throughput molecular sieve syntheti c system, the huge amount of data derived from large throughput capacity makes it difficult to analyze timely.”

Key words

Shanghai/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/East China University of Science and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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