
NSF Org: |
DMR Division Of Materials Research |
Recipient: |
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Initial Amendment Date: | January 29, 2013 |
Latest Amendment Date: | May 11, 2020 |
Award Number: | 1255379 |
Award Instrument: | Continuing Grant |
Program Manager: |
Lynnette Madsen
lmadsen@nsf.gov (703)292-4936 DMR Division Of Materials Research MPS Directorate for Mathematical and Physical Sciences |
Start Date: | July 1, 2013 |
End Date: | December 31, 2020 (Estimated) |
Total Intended Award Amount: | $550,000.00 |
Total Awarded Amount to Date: | $705,214.00 |
Funds Obligated to Date: |
FY 2015 = $390,000.00 FY 2018 = $28,594.00 FY 2020 = $66,620.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
926 DALNEY ST NW ATLANTA GA US 30318-6395 (404)894-4819 |
Sponsor Congressional District: |
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Primary Place of Performance: |
225 North Avenue, NW Atlanta GA US 30332-0002 |
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): |
OFFICE OF MULTIDISCIPLINARY AC, DMR SHORT TERM SUPPORT, CERAMICS, XC-Crosscutting Activities Pro |
Primary Program Source: |
01001516DB NSF RESEARCH & RELATED ACTIVIT 01001819DB NSF RESEARCH & RELATED ACTIVIT 01002021DB NSF RESEARCH & RELATED ACTIVIT |
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
NON-TECHNICAL DESCRIPTION: Coupling between electrical and mechanical impulses underlies the basic behavior of many sensors and actuators. Classical piezoelectric materials are based on a linear correlation between the developed charges and applied stress (sensor applications) or strain developed under an applied electric field (actuator applications). With the drive towards miniaturization for micro- and nano-electromechanical systems (MEMS and NEMS), piezoelectric materials have received additional interest because piezoelectric actuation and sensing at the nanoscale can be conducted with much higher actuation power densities than with electrostatic and magnetoelectric approaches. This finding is in contrast to classical piezoelectric materials that offer only a limited strain range, and actuating device structures offer only limited scalability below the micron level. This work aims to take advantage of novel physical phenomena, i.e. flexoelectricity (coupling between strain gradients and developed charge), emergent on the nanoscale, to develop novel electromechanical materials systems scalable to nanometer sizes, while allowing for large strains. The electromechanical response scales inversely with the dimensions of flexoelectric composites (and therefore miniaturized samples), a trend opposite to what is observed in currently-available bulk single-crystal or ceramic piezoelectrics. The response of flexoelectric composites cannot be thermally or electrically degraded, and Pb-free compositions should offer much larger electromechanical response than current Pb-based piezoelectric materials. Therefore, flexoelectric nano-composites may enable a wider range of miniaturized applications and an environmentally-safe alternative to current bulk sensors and actuators.
TECHNICAL DETAILS: This research aims to achieve fundamental understanding of flexoelectricity as a contributor to the electromechanical response of all dielectrics, and to harness it as a new transduction approach for micro- and nano-systems. The combination of precise nano-manufacturing methods with rigorous dielectric and (micro- and macro-scale) piezoelectric characterization, in addition to exhaustive microstructural characterization will provide a major insight into the multiscale science of flexoelectric composites. This research aims to establish theoretical and experimental limits for high electromechanical response through flexoelectricity in micro- and nano-meter patterned dielectrics, and correlate dielectric (microstructural) and flexoelectric (geometric) scaling effects to understand their co-regulation of the effective piezoelectric response in flexoelectric patterned dielectrics. A new understanding of flexoelectricity facilitates the required departure from lead-containing crystals, which remain the cornerstone of ceramic sensors and actuators. Flexoelectric coupling provides a potentially transformative companion to the conventional approaches of solid-solution engineering once the relationships between strain gradients, nanostructure, and phase transitions are well understood. An integral part of this project is the recruitment and retention of women in science and engineering. This objective is achieved through hands-on workshops (focused on smart materials) targeted to groups of girls in grades 5-12, as well as mentorship, research and education activities targeted at graduate and undergraduate students in cutting-edge scientific and technological fields.
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.
This work pioneered the development of “energy discovery platforms.” These platforms combine nano/micro-fabricated lateral devices with in-situ characterization methods, and they enable multiscale, correlative studies of functional properties of materials, particularly in thin film form. Using these devices, we probed and verified the micro- and nano-scales origins of conductivity in nanoscale ceria as a function of environmental conditions (temperature and relative humidity). These studies highlighted the way microstructure and defects enable electrochemical and transport processes. Similarly, we reported the effects of dopants on the BaZrO3 proton conductors, and how the local and nanoscale variations within a few unit cells can impact the overall functionality of the material.
We also created an open-sourced code and platform for implementation of resonant-mode piezoresponse force microscopy on any commercial atomic force microscope. Using this setup, we demonstrated a powerful approach for inclusion physical and chemical constraints (through data-concatenation methods) in Machine Learning. Data concatenation improves the otherwise physics- and chemistry-agnostic mathematical analyses, resulting in increased significance of the output of Machine Learning algorithms.
Specifically, we applied the developed Machine Learning techniques to the family of relaxor-ferroelectric solid solutions – materials of complex chemistry, based on a relaxor and a ferroelectric end-member – used as the transducer material in medical ultrasound and underwater devices. We discovered that the effect of the relaxor end-member extends well beyond relaxor-rich compositions. Similarly, we showed that the effects of the internal interfaces (domain walls) is substantially more limited on the polarization switching of relaxor-ferroelectrics compared to prototypical ferroelectrics. We explored methods to concatenate differing parameters (e.g., piezoresponse amplitude and frequency), and proposed methodologies for reducing user-bias in selection of Machine Learning parameters and interpretation of the obtained outputs. All the data and developed codes are made available in open repositories.
Overall, this project supported, partially or completely, the education of one post-doctoral associate, six Ph.D., four M.S., twelve undergraduate and three high school researchers, fourteen of whom were women. Graduates of the program are currently employed at many major research and development corporations (including fields of microelectronics, semiconductors processing and manufacturing equipment, space exploration), federal institutions (e.g., NASA, Sandia National Laboratories), as well as enrolled in more advanced degree programs across the nation (e.g., UC Berkeley, Princeton, Georgia Tech).
Last Modified: 01/14/2021
Modified by: Nazanin Bassiri-Gharb
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