
NSF Org: |
DMR Division Of Materials Research |
Recipient: |
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Initial Amendment Date: | June 21, 2019 |
Latest Amendment Date: | January 30, 2020 |
Award Number: | 1905411 |
Award Instrument: | Standard Grant |
Program Manager: |
Robert Meulenberg
DMR Division Of Materials Research MPS Directorate for Mathematical and Physical Sciences |
Start Date: | July 15, 2019 |
End Date: | June 30, 2023 (Estimated) |
Total Intended Award Amount: | $367,462.00 |
Total Awarded Amount to Date: | $367,462.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
3400 N CHARLES ST BALTIMORE MD US 21218-2608 (443)997-1898 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1101 E. 33rd St., Ste B001 Baltimore MD US 21218-2686 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | SOLID STATE & MATERIALS CHEMIS |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.049 |
ABSTRACT
PART 1: NON-TECHNICAL SUMMARY
The rational discovery of new superconductors, materials that conduct electricity without resistance, remains an unsolved materials challenge in chemistry and physics. Simply stated, even how to approach this problem is unknown. Yet achieving this goal has the potential to benefit society with cheaper and more efficient electrical distribution, improved cell towers, and enhanced medical imaging. The proposed work, supported by the Solid State and Materials Chemistry program in the Division of Materials Research, is centered on identifying appropriate design principles for superconductors through iterative materials-by-design. A combination of materials synthesis, pressure-dependent structural and physical property characterization, and computational modeling will be used to establish structure-property relationships. Understanding these relationships will in turn yield design principles allowing scientists to piece together new superconductors, enabling the next generation of technological benefits to society. Involvement of the local community, including electrical engineering students from Morgan State University, will further extend the impact by providing cross-fertilization of knowledge between the materials and electrical engineering fields, and the implementation of new classroom and hands-on modules on solid-state electronic materials will help train the next-generation workforce.
PART 2: TECHNICAL SUMMARY
The PIs propose to establish novel structure-function relationships and design principles for new materials discovery in layered electronic materials, specifically aimed toward the superconducting state. To do so, a combination of materials synthesis, physical property and structural characterization measurements under pressure, chemical bonding models, and density functional theory (DFT) will be applied. Specific questions to be addressed include: 1) what is the connection between symmetry, polymorphism, and superconductivity?; and 2) how does dimensionality impact superconductivity? Using electronic structure calculations, the PIs have identified a class of lesser-known materials that will provide unprecedented insight into each of these questions: in the former by targeting concomitant changes in structural parameters, and in the latter by providing the first example of bilayer iron pnictides with flexible chemical motifs. These design principles, which are elucidated through pressure-dependent measurements and computation, will be applied iteratively to inform further design principles for improved materials at ambient pressure. In addition, the application of iterative materials-by-design to superconductivity will demonstrate how a problem for which definitive predictive theories do not exist can still be significantly enhanced by modern materials-by-design approaches. Involvement of the local community, including electrical engineering students from Morgan State University, will further extend the impact by providing cross-fertilization of knowledge between the materials and electrical engineering domains. The implementation of new classroom and hands-on modules on solid-state electronic materials will help train the next generation workforce, with the content freely and publicly available for use by others. This project is supported by the Solid State and Materials Chemistry program in the Division of Materials Research.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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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 rational discovery of new superconductors, important for future technologies including maglev trains and more sustainable electrical transport grids, remains one of the greatest unsolved materials design challenges in solid state chemistry and condensed matter physics. Despite numerous concrete phenomenological and microscopic theories, the discovery of new, especially improved, superconductors has relied on broad materials searches, intuition, and good fortune. We applied a convergent materials by design iterative approach to identify key design strategies allowing us (and others) to advance the discovery rate of new and technologically viable layered superconducting materials. We computationally predicted phases that should exhibit superconductivity upon appropriate application of doping and pressure, and successfully crystallized key phases. In the process, we discovered a new, wide bandgap, exfoliatable material (ScSI) that may find use in functional 2D devices. We implemented a set of course modules on applying data science to materials science, and released those publicly as Materials Automated ( https://www.materialsautomated.com ); the initial online weekly offering attracted numerous individuals from the solid state chemistry community. Seven students received hands on training in materials synthesis and discovery, with two theses able to be completed due to this support, and with two students funded in part by this work planning to move into critical semiconductor positions in the United States.
Last Modified: 11/09/2023
Modified by: Tyrel Mcqueen
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