Machine learning analysis of perovskite oxides grown by molecular beam epitaxy

Provence, Sydney R.; Thapa, Suresh; Paudel, Rajendra; Truttmann, Tristan K.; Prakash, Abhinav; Jalan, Bharat; Comes, Ryan B.

doi:10.1103/physrevmaterials.4.083807

Machine learning analysis of perovskite oxides grown by molecular beam epitaxy

Journal Article · Fri Aug 21 00:00:00 EDT 2020 · Physical Review Materials

DOI:https://doi.org/10.1103/physrevmaterials.4.083807· OSTI ID:1803923

Provence, Sydney R. ^[1]; ^[2]; ^[2]; Truttmann, Tristan K. ^[3]; ^[3]; Jalan, Bharat ^[3]; ^[2]

Auburn Univ., AL (United States); OSTI
Auburn Univ., AL (United States)
Univ. of Minnesota, Minneapolis, MN (United States)

Reflection high-energy electron diffraction (RHEED) is a ubiquitous in situ molecular beam epitaxial (MBE) characterization tool. Although RHEED can be a powerful means for crystal surface structure determination, it is often used as a static qualitative surface characterization method at discrete intervals during a growth. A full analysis of RHEED data collected during the entirety of MBE growths is made possible using principle component analysis (PCA) and $$\textit{k}$$-means clustering to examine significant boundaries that occur in the temporal clusters grouped from RHEED data and identify statistically significant patterns. This process is applied to data from homoepitaxial SrTiO₃ growths, heteroepitaxial SrTiO₃ grown on scandate substrates, BaSnO₃ films grown on SrTiO₃ substrates, and LaNiO₃ films grown on SrTiO₃ substrates. We report this analysis may provide additional insights into the surface evolution and transitions in growth modes at precise times and depths during growth, and that video archival of an entire RHEED image sequence may be able to provide more insight and control overgrowth processes and film quality.

View Accepted Manuscript (DOE)

Research Organization:: Univ. of Minnesota, Minneapolis, MN (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Office of Science (SC)

Grant/Contract Number:: SC0020211

OSTI ID:: 1803923

Journal Information:: Physical Review Materials, Journal Name: Physical Review Materials Journal Issue: 8 Vol. 4; ISSN 2475-9953

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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