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Award Abstract # 1334867
Collaborative Research: DMREF: High-Throughput Mapping of Functional Dielectric/Metallic Heterostructures

NSF Org: DMR
Division Of Materials Research
Recipient: THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK
Initial Amendment Date: September 3, 2013
Latest Amendment Date: February 28, 2018
Award Number: 1334867
Award Instrument: Standard Grant
Program Manager: John Schlueter
jschluet@nsf.gov
 (703)292-7766
DMR
 Division Of Materials Research
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: September 1, 2013
End Date: February 28, 2019 (Estimated)
Total Intended Award Amount: $975,000.00
Total Awarded Amount to Date: $987,000.00
Funds Obligated to Date: FY 2013 = $975,000.00
FY 2018 = $12,000.00
History of Investigator:
  • Matthew Dawber (Principal Investigator)
    matthew.dawber@stonybrook.edu
  • Maria Victoria Fernandez Serra (Co-Principal Investigator)
  • Xu Du (Co-Principal Investigator)
Recipient Sponsored Research Office: SUNY at Stony Brook
W5510 FRANKS MELVILLE MEMORIAL LIBRARY
STONY BROOK
NY  US  11794-0001
(631)632-9949
Sponsor Congressional District: 01
Primary Place of Performance: SUNY at Stony Brook
Dept of Physics and Astronomy
Stony Brook
NY  US  11794-3800
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): M746VC6XMNH9
Parent UEI: M746VC6XMNH9
NSF Program(s): DMR SHORT TERM SUPPORT,
DMREF
Primary Program Source: 01001314DB NSF RESEARCH & RELATED ACTIVIT
01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 054Z, 062Z, 7237, 8400, 8990
Program Element Code(s): 171200, 829200
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

NON-TECHNICAL: In this DMREF project, the rich physics of three large families of artificially structured oxide materials are being studied using a synergistic combination of theoretical and experimental methods. These artificially structured materials, obtained by stacking atomically-thin layers of two or more different compounds, offer enormous flexibility in the choice of constituents, layer thickness, stacking sequence and choice of substrate, which can strongly influence their structure and properties. The approach being developed and applied in this project, integrating computational data-driven search and modeling methods with sophisticated first-principles analysis and state-of-the-art experimental synthesis and characterization of selected materials, allows the design and discovery of novel materials with specified functional properties enhanced and/or distinct from those possible in naturally occurring compounds, thus having the potential to enable transformative technologies.

TECHNICAL: In this DMREF project, the rich physics of metallic-dielectric perovskite oxide superlattices are being explored through an integrated theoretical-experimental investigation. The principal objective is to map the structure and properties of three selected broad families of superlattices (superlattices of SrMO3 where M=V, Cr, Mn, Fe, Co, Mo or Ru combined with SrTiO3, PbTiO3 or LaMO3) spanning an enormous configuration space. Specifically, the researchers are building on recent advances in high-throughput first-principles infrastructure to develop and demonstrate a guided-sampling high-throughput first-principles approach that uses physically-motivated models to interpret and interpolate first-principles results. Furthermore, their approach compares approximate quantities (that are computed in high-throughput calculations) to those obtained through both high-accuracy computational methods and state-of-the-art experimental synthesis and characterization. This approach is enabling them to identify individual systems with desired functionalities, particularly those related to metal-insulator transitions. In insulating materials the properties of interest are those related to polarization, including piezoresponse and dielectric constant and the size and position of band gaps and band edges. For metallic materials, the thermoelectric properties of these layered systems are especially promising. Intensive theoretical and experimental investigation is validating the theoretically generated structure-property maps, revealing any novel physical phenomena, and pointing the way to potential technological applications. Beyond the systems being studied in this project, the guided-sampling high-throughput approach being developed for this investigation can be applied to other materials design challenges as well. The tight integration of theory and experiment in this project provides a unique opportunity for participants, including graduate, undergraduate and high school students, to develop a broad skill set while participating in cutting edge materials development.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 18)
A. Gura, G. Bertino, B. Bein, and M. Dawber "Transition regime from step-flow to step-bunching in the growth of epitaxial SrRuO3 on (001) SrTiO3." Applied Physics Letters. , v.112 , 2018 , p.182902 https://doi.org/10.1063/1.5026682
C. Morice, P. Chandra, S.E. Rowley, G.G. Lonzarich and S. S. Saxena "Hidden Fluctuations close to a Quantum Bicritical Point." Physical Review B , v.96 , 2017 , p.245104 https://doi.org/10.1103/PhysRevB.96.245104
Hongwei Wang, Jianguo Wen, Dean J. Miller, Qibin Zhou, Ho Nyung Lee, Karin M. Rabe, and Xifan Wu "Highly polar phase stabilized at interface ofperovskite superlattice designed by oxygen octahedron rotation reconstruction." Physical Review X , v.6 , 2015 , p.011027 http://dx.doi.org/10.1103/PhysRevX.6.011027
Hongwei Wang, Jianguo Wen, Dean J. Miller, Qibin Zhou, Ho Nyung Lee, Karin M. Rabe, and Xifan Wu "Stabilization of highly polar BiFeO3 ­like structure: A new interface design route for enhanced ferroelectricity in artificial perovskite superlattices" Physical Review X , v.6 , 2016 , p.011027 http://dx.doi.org/10.1103/PhysRevX.6.011027
J. Bonini, J. W. Bennett, P. Chandra, and K. M. Rabe "First-principles bulk-layer model for dielectric and piezoelectric responses in superlattices." Phys. Rev. B. , v.99 , 2019 , p.104107 https://doi.org/10.1103/PhysRevB.99.104107
J. Park, Y. Ahn, J, A. Tilka, H. J. Lee, A. Pateras, M.H. Yusuf, M. Dawber, H. Wen, and P. G. Evans "Role of temperature-dependent electron trapping dynamics in the optically driven nanodomain transformation in a PbTiO3/SrTiO3 superlattice." Appl. Phys. Lett.. , v.116 , 2020 , p.012901 https://doi.org/10.1063/1.5128364
J. Trinh, E. Bruck, T. Siegrist, R. Flint, P. Chandra, P. Coleman and A.P. Ramirez "Thermodynamic Measurement of Angular Anisotropy at the Hidden Order Transition of URu2Si2." Physical Review Letters , v.117 , 2017 , p.157201 https://doiorg. proxy.libraries.rutgers.edu/10.1103/PhysRevLett.117.157201
J. Zhu, H. Park, J. Y. Chen, X. K. Gu, H. Zhang, S. Karthikeyan, N. Wendel, S. A. Campbell. M. Dawber, X. Du, M. Li, J. P. Wang, R. G. Yang and X. J. Wang "Revealing the origins of 3D anisotropic thermal conductivities of blackphosphorus" Advanced Electronic Materials , v.2 , 2016 , p.1600040 10.1002/aelm.201600040
M.H. Yusuf, A. Gura, X. Du and M. Dawber "Local control of the resistivity of graphene through mechanically inducedswitching of a ferroelectric superlattice." 2D Materials , v.4 , 2017 , p.021022 https://doi.org/10.1088/20531583/ aa636f
MyungGeunHan, Joseph A. Garlow, Matthieu Bugnet, Simon Divilov, Matthew S. J. Marshall, Lijun Wu, MatthewDawber, Marivi FernandezSerra, Gianluigi A. Botton, Sang-WookvCheong, Frederick J. Walker, Charles H. Ahn andvYimei Zhu "Coupling of biasinducedcrystallographic shear planes with charged domain walls in ferroelectric oxide thinfilms." Physical Review B , v.94 , 2016 , p.100101(R) https://doi.org/10.1103/PhysRevB.94.100101
N. Ng, R.Ahluwalia, A. Kumar, D.J. Srolovitz, P. Chandra and J.F. Scott "Electron­beam driven relaxation oscillations in ferroelectric nanodisks" Applied Physics Letters , v.107 , 2015 , p.152902 10.1063/1.4932653
(Showing: 1 - 10 of 18)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The goal of the Materials Genome Initiative is to accelerate the development of new materials through integration of computational tools and data with experimental realization by synthesis and characterization. The very first step in the materials development pipeline is the identification of promising new candidate materials with enhanced or novel functionalities. This project furthers this goal by drawing on recent dramatic progress in synthesizing structures, called superlattices, with two complex oxide compounds combined into patterns at the atomic scale, giving vast new families of artificial materials in which desired functionalities can be engineered. With computer simulations, we can predict the precise atomic arrangements and properties for each choice of compounds and patterns. From analysis of the simulation results for a large set of superlattices, stored and organized in an online database, we have constructed a model that allows a useful estimate of the relevant properties just from quantities computed for the individual constituent compounds. This estimation capability greatly increases the speed with which the large number of candidate superlattices can be searched. The auxiliary database of simulation results for the necessary information about individual constituent compounds includes information about competing phases distinct from those observed under normal conditions, but which could be accessed by changing external parameters such as temperature, pressure and the size and shape of the sample; our computer simulations are uniquely suited to the generation of this data.  These materials design tools and data allow us efficiently to identify the most promising superlattices for a particular application for realization and characterization in the laboratory. Selected candidates have been synthesized and characterized by members of the team using the information from the computer simulations. Examples include the observation of enhanced piezoelectricity in ferroelectric PbTiO3/BaTiO3 superlattices, and the control of intrinsic bias in metallic-dielectric PbTiO3/SrTiO3 and PbTiO3/SrRuO3  superlattices, and synthesis of SrTiO3/SrCrO3 as a candidate metal-insulator switch system.


Last Modified: 04/22/2020
Modified by: Matthew Dawber

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