Activation of Dinitrogen by Solid and Liquid Aluminum Nanoclusters: A Combined Experimental and Theoretical Study-Reference-Cited by-同舟云学术

Activation of Dinitrogen by Solid and Liquid Aluminum Nanoclusters: A Combined Experimental and Theoretical Study

Published:2010-08-25 Issue:37 Volume:132 Page:12906-12918
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Cao Baopeng¹,Starace Anne K.¹,Judd Oscar H.¹,Bhattacharyya Indrani¹,Jarrold Martin F.¹,López José M.¹,Aguado Andrés¹

Affiliation:

1. Chemistry Department, Indiana University, 800 East Kirkwood Avenue, Bloomington, Indiana 47405, and Departamento de Física Teórica, Universidad de Valladolid, Valladolid 47011, Spain

Publisher

American Chemical Society (ACS)

Subject

Colloid and Surface Chemistry,Biochemistry,General Chemistry,Catalysis

Link

https://pubs.acs.org/doi/pdf/10.1021/ja103356r

Reference69 articles.

1. The physics of simple metal clusters: experimental aspects and simple models

2. Irregular variations in the melting point of size-selected atomic clusters

3. Phase transitions in clusters

4. Melting transitions in aluminum clusters: The role of partially melted intermediates

5. Melting of size-selected aluminum nanoclusters with 84–128 atoms

Cited by 43 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electrocatalytic nitrogen reduction on defective graphene modulated from single atom catalyst to aluminium clusters;Applied Surface Science;2023-06

2. High-temperature reactivity of vanadium oxide clusters in methane activation: Vibrational degrees of freedom matter;The Journal of Chemical Physics;2023-05-16

3. Designing nanoclusters for catalytic activation of small molecules: A theoretical endeavor;Atomic Clusters with Unusual Structure, Bonding and Reactivity;2023

4. Recent Progress in Computational Design of Single-Atom/Cluster Catalysts for Electrochemical and Solar-Driven N₂ Fixation;ACS Catalysis;2022-12-05

5. Accelerated prediction of atomically precise cluster structures using on-the-fly machine learning;npj Computational Materials;2022-08-19