A new active learning approach for global optimization of atomic clusters
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physical and Theoretical Chemistry
Link
https://link.springer.com/content/pdf/10.1007/s00214-021-02766-5.pdf
Reference74 articles.
1. Alonso JA (2005) Structure and properties of atomic nanoclusters. Imperial college Press. Available via http://worldcat.org. http://www.books24x7.com/marc.asp?bookid=18671.
2. Kulkarni A, Lobo-Lapidus RJ, Gates BC (2010) Metal clusters on supports: synthesis, structure, reactivity, and catalytic properties. Chem Commun 46(33):5997–6015. https://doi.org/10.1039/C002707N
3. Tyo EC, Vajda S (2015) Catalysis by clusters with precise numbers of atoms. Nat Nanotechnol 10(7):577–588. https://doi.org/10.1038/nnano.2015.140
4. Li Z, Ji S, Liu Y, Cao X, Tian S, Chen Y, Niu Z, Li Y (2020) Well-defined materials for heterogeneous catalysis: from nanoparticles to isolated single-atom sites. Chem Rev 120(2):623–682. https://doi.org/10.1021/acs.chemrev.9b00311
5. Jena P, Sun Q (2018) Super atomic clusters: design rules and potential for building blocks of materials. Chem Rev 118(11):5755–5870. https://doi.org/10.1021/acs.chemrev.7b00524
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