Robotics & Machine Learning Daily News2024,Issue(Nov.11) :69-70.

Ghent University Reports Findings in Machine Learning (TheOperando Nature of Is obutene Adsorbed in Zeolite H-SSZ-13 Unraveled by Machine Learning Potentials Be yond DFT Accuracy)

根特大学报告机器学习的发现(The用机器学习势和密度泛函理论解H-SSZ-13分子筛上异丁烯吸附的操作性质

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :69-70.

Ghent University Reports Findings in Machine Learning (TheOperando Nature of Is obutene Adsorbed in Zeolite H-SSZ-13 Unraveled by Machine Learning Potentials Be yond DFT Accuracy)

根特大学报告机器学习的发现(The用机器学习势和密度泛函理论解H-SSZ-13分子筛上异丁烯吸附的操作性质

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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-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx记者从比利时Zwijnaarde报道,研究称,“解开”分子筛中吸附烯烃的性质对于理解许多沸石催化的过程至关重要。A有充分基础的理论描述,关键在于准确地确定电势能量面(PES)和操作条件下熵效应的可靠计算。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Zwijnaarde, Belgium, by NewsRx correspondents, research stated, “Unravelingthe nature of ad sorbed olefins in zeolites is crucial to understand numerous zeolite-catalyzed p rocesses. Awell-grounded theoretical description critically depends on both an accurate determination of the potentialenergy surface (PES) and a reliable acco unt of entropic effects at operating conditions.”

Key words

Zwijnaarde/Belgium/Europe/Cyborgs/Em erging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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