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Title: Computational Approach for Epitaxial Polymorph Stabilization through Substrate Selection

Abstract

With the ultimate goal of finding new polymorphs through targeted synthesis conditions and techniques, we outline a computational framework to select optimal substrates for epitaxial growth using first principle calculations of formation energies, elastic strain energy, and topological information. To demonstrate the approach, we study the stabilization of metastable VO 2 compounds which provides a rich chemical and structural polymorph space. Here, we find that common polymorph statistics, lattice matching, and energy above hull considerations recommends homostructural growth on TiO 2 substrates, where the VO 2 brookite phase would be preferentially grown on the a-c TiO 2 brookite plane while the columbite and anatase structures favor the a-b plane on the respective TiO 2 phases. Overall, we find that a model which incorporates a geometric unit cell area matching between the substrate and the target film as well as the resulting strain energy density of the film provide qualitative agreement with experimental observations for the heterostructural growth of known VO 2 polymorphs: rutile, A and B phases. The minimal interfacial geometry matching and estimated strain energy criteria provide several suggestions for substrates and substrate-film orientations for the heterostructural growth of the hitherto hypothetical anatase, brookite, and columbite polymorphs. Our criteriamore » serve as a preliminary guidance for the experimental efforts stabilizing new materials and/or polymorphs through epitaxy. The current screening algorithm is being integrated within the Materials Project online framework and data and hence publicly available.« less

Authors:
 [1];  [1];  [2];  [2];  [2];  [3]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States). Materials Chemistry Science and Technology
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Technologies; Univ. of California, Berkeley, CA (United States). Dept. of Materials Science and Engineering
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Energy Frontier Research Centers (EFRC) (United States). Center for Next Generation of Materials by Design: Incorporating Metastability (CNGMD)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1379356
Grant/Contract Number:  
AC02-05CH11231; AC36-089028308
Resource Type:
Accepted Manuscript
Journal Name:
ACS Applied Materials and Interfaces
Additional Journal Information:
Journal Volume: 8; Journal Issue: 20; Journal ID: ISSN 1944-8244
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; epitaxy; substrate selection; topology; elastic energy; homoepitaxy; heteroepitaxy

Citation Formats

Ding, Hong, Dwaraknath, Shyam S., Garten, Lauren, Ndione, Paul, Ginley, David, and Persson, Kristin A. Computational Approach for Epitaxial Polymorph Stabilization through Substrate Selection. United States: N. p., 2016. Web. doi:10.1021/acsami.6b01630.
Ding, Hong, Dwaraknath, Shyam S., Garten, Lauren, Ndione, Paul, Ginley, David, & Persson, Kristin A. Computational Approach for Epitaxial Polymorph Stabilization through Substrate Selection. United States. doi:10.1021/acsami.6b01630.
Ding, Hong, Dwaraknath, Shyam S., Garten, Lauren, Ndione, Paul, Ginley, David, and Persson, Kristin A. Wed . "Computational Approach for Epitaxial Polymorph Stabilization through Substrate Selection". United States. doi:10.1021/acsami.6b01630. https://www.osti.gov/servlets/purl/1379356.
@article{osti_1379356,
title = {Computational Approach for Epitaxial Polymorph Stabilization through Substrate Selection},
author = {Ding, Hong and Dwaraknath, Shyam S. and Garten, Lauren and Ndione, Paul and Ginley, David and Persson, Kristin A.},
abstractNote = {With the ultimate goal of finding new polymorphs through targeted synthesis conditions and techniques, we outline a computational framework to select optimal substrates for epitaxial growth using first principle calculations of formation energies, elastic strain energy, and topological information. To demonstrate the approach, we study the stabilization of metastable VO 2 compounds which provides a rich chemical and structural polymorph space. Here, we find that common polymorph statistics, lattice matching, and energy above hull considerations recommends homostructural growth on TiO 2 substrates, where the VO 2 brookite phase would be preferentially grown on the a-c TiO 2 brookite plane while the columbite and anatase structures favor the a-b plane on the respective TiO 2 phases. Overall, we find that a model which incorporates a geometric unit cell area matching between the substrate and the target film as well as the resulting strain energy density of the film provide qualitative agreement with experimental observations for the heterostructural growth of known VO 2 polymorphs: rutile, A and B phases. The minimal interfacial geometry matching and estimated strain energy criteria provide several suggestions for substrates and substrate-film orientations for the heterostructural growth of the hitherto hypothetical anatase, brookite, and columbite polymorphs. Our criteria serve as a preliminary guidance for the experimental efforts stabilizing new materials and/or polymorphs through epitaxy. The current screening algorithm is being integrated within the Materials Project online framework and data and hence publicly available.},
doi = {10.1021/acsami.6b01630},
journal = {ACS Applied Materials and Interfaces},
number = 20,
volume = 8,
place = {United States},
year = {2016},
month = {5}
}

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Works referencing / citing this record:

Accelerating the discovery of materials for clean energy in the era of smart automation
journal, April 2018

  • Tabor, Daniel P.; Roch, Loïc M.; Saikin, Semion K.
  • Nature Reviews Materials, Vol. 3, Issue 5
  • DOI: 10.1038/s41578-018-0005-z

Accelerating the discovery of materials for clean energy in the era of smart automation
journal, April 2018

  • Tabor, Daniel P.; Roch, Loïc M.; Saikin, Semion K.
  • Nature Reviews Materials, Vol. 3, Issue 5
  • DOI: 10.1038/s41578-018-0005-z