Characterization of large vacancy clusters in diamond from a generational algorithm using tight binding density functional theory

Journal article

Peer reviewed

Brad SLEPETZ, Istvan LASZLO, Yury GOGOTSI, David HYDE-VOLPE and Miklos KERTESZ

Physical chemistry chemical physics : PCCP, v 12(42), pp 14017-14022

2010

PMID: 20856969

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Chemistry

General and physical chemistry

Porous materials

Colloidal state and disperse state

Exact sciences and technology

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11 citations in Scopus

Title: Characterization of large vacancy clusters in diamond from a generational algorithm using tight binding density functional theory
Creators: Brad SLEPETZ - Chemistry Department, Georgetown University, 37th and O Streets, NW, Washington, DC 20057-1227, United States
Istvan LASZLO - Chemistry Department, Georgetown University, 37th and O Streets, NW, Washington, DC 20057-1227, United States
Yury GOGOTSI - Department of Materials Science and Engineering, Drexel University, Philadelphia, PA, 19104, United States
David HYDE-VOLPE - Chemistry Department, Georgetown University, 37th and O Streets, NW, Washington, DC 20057-1227, United States
Miklos KERTESZ - Chemistry Department, Georgetown University, 37th and O Streets, NW, Washington, DC 20057-1227, United States
Publication Details: Physical chemistry chemical physics : PCCP, v 12(42), pp 14017-14022
Publisher: Royal Society of Chemistry; Cambridge
Resource Type: Journal article
Language: English
Academic Unit: Materials Science and Engineering
Web of Science ID: WOS:000283262400017
Scopus ID: 2-s2.0-77958530818
Other Identifier: 991014877814604721

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Collaboration types: Domestic collaboration; International collaboration
Web of Science research areas: Chemistry, Physical; Physics, Atomic, Molecular & Chemical