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Updated: Jul 5, 2025

Synthesis of Metal Nanoparticles Supported on Carbon Nanotube with Doped Co and N Atoms and its Catalytic Applications in Hydrogen Production
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基于Ce的金属氧化物复合材料的知识驱动的实验发现,用于通过可解释机器学习来选择性催化降低NO与NH3

Muyu Lu1, Fengyu Gao1, Yiran Tan1

  • 1School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China.

ACS applied materials & interfaces
|January 12, 2024
PubMed
概括

研究人员使用可解释的机器学习发现了一种新的基于的三元金属氧化物催化剂,用于氧化的氨选择性催化还原 (NH3-SCR),提高效率和稳定性.

关键词:
催化剂的发现发现效率指标 效率指标 效率指标文学 采矿 采矿 采矿机器学习是机器学习.模型的解释性可解释性精确的选精确的选.经过验证的预测和预测.

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Preparation of Amines: Reduction of Oximes and Nitro Compounds01:29

Preparation of Amines: Reduction of Oximes and Nitro Compounds

Oximes can be reduced to primary amines using catalytic hydrogenation, hydride reduction, or sodium metal reduction. The reduction of aliphatic and aromatic nitro compounds to primary amines takes place by either catalytic hydrogenation or by using active metals like Fe, Zn, and Sn in the presence of an acid.
Though catalytic hydrogenation can reduce nitrobenzenes, the reduction is nonselective in the presence of other functional groups. For instance, if nitrobenzene contains an aldehyde group,...
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