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Updated: Feb 16, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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NORR電触媒としてG/BPヘテロ構造に固定された単一の移行金属原子の設計とスクリーニング: DFTと機械学習の研究

Xiang Zhong1, Xinyi Han1, Xiaowen Sun1

  • 1School of Science, Jiangsu Ocean University, Lianyungang 222005, China.

Journal of hazardous materials
|February 14, 2026
PubMed
まとめ

窒素酸化物 (NOx) の電気触媒的還元により,有害ガスがアンモニア (NH3) に変換されます. この研究では,グラフェンと青色リン (G/BP) の異質構造に固定された鉄 (Fe) とロジウム (Rh) が,このプロセスの高度に活性的で選択的な触媒として特定されています.

キーワード:
DFTの計算方法についてG/BPのヘテロ構造は機械学習 (Machine Learning) とは,機械学習 (Machine Learning) というものです.NO NOの還元反応単原子触媒は,単原子触媒として使われています.

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