
NSF Org: |
DMR Division Of Materials Research |
Recipient: |
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Initial Amendment Date: | November 15, 2016 |
Latest Amendment Date: | November 15, 2016 |
Award Number: | 1609560 |
Award Instrument: | Standard Grant |
Program Manager: |
Daryl Hess
dhess@nsf.gov (703)292-4942 DMR Division Of Materials Research MPS Directorate for Mathematical and Physical Sciences |
Start Date: | December 1, 2016 |
End Date: | November 30, 2019 (Estimated) |
Total Intended Award Amount: | $171,000.00 |
Total Awarded Amount to Date: | $171,000.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
210 N 4TH ST FL 4 SAN JOSE CA US 95112-5569 (408)924-1400 |
Sponsor Congressional District: |
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Primary Place of Performance: |
One Washington Square San Jose CA US 95192-0106 |
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): | CONDENSED MATTER & MAT THEORY |
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
NONTECHNICAL SUMMARY
This award supports theoretical research and education in the physics of disorder and its effect on how electrons organize in real materials. Theoretical study and understanding of fundamental properties of solids that exhibit unexpected and often technologically useful properties at low temperatures commonly rely on the assumption that atoms form perfectly periodic lattices. However, disorder (crystal defects or impurities) that exists in real materials cannot always be ignored when studying electronic properties. Together with all the other important players in the system (crystal lattice geometry, interaction between electrons, etc.), their presence can drive the system as a whole to phases that do not appear if one considers disorder alone, or only electronic interactions. The accurate description of such an inclusive system using current numerical techniques can be a daunting task.
In this project, the PI will implement a novel idea for efficiently taking random disorder into account in certain numerical simulations of interacting electrons. The PI will use the method to study the collective rearrangements of electrons and the different transformations they can undergo. The results will help interpret experimental observations, and will ultimately help understand the mechanism behind the creation of exotic phases, such as insulating and superconducting phases, with possible applications in the technology and energy sectors.
The activities will provide several undergraduate students from the diverse population of San Jose State University with hands-on research experience in the field of computational condensed matter physics, and with opportunities to improve their scientific communication skills through writing papers and presenting their findings at national scientific meetings. The award also supports the PI in his efforts to integrate research and undergraduate education through the incorporation of computational methods into physics courses.
TECHNICAL SUMMARY
This award supports theoretical research and education in the physics of disorder and its effect on electronic phase transitions. The interplay of disorder, caused by impurities or crystal defects in real materials, and electronic correlations in condensed matter physics is only poorly understood. Important questions about the effect of disorder on the appearance and nature of phase transitions, as well as on the fate of the Anderson localization upon introduction of electronic interactions in different dimensions, remain largely unsettled. This is especially true for fermionic systems and the corresponding quantum lattice models that emulate disorder effects through random-site or bond energies. Recent experiments with ultracold Fermi gasses on optical lattices have begun to shed light on some of these questions. However, much like in experimental simulations with clean lattices, these experiments rely on approximation-free and highly precise numerical simulations for thermometry and characterization.
In this project the PI will implement a new idea for the treatment of continuous random disorder in the numerical linked-cluster expansion, an emerging and powerful method that yields exact finite-temperature results for strongly correlated electronic systems in the thermodynamic limit. Using this method, the PI will study the thermodynamic properties, including various magnetic and/or superconducting correlations of Heisenberg and Hubbard models in two and three dimensions. The results will improve our understanding of the exotic phenomena that can arise in the presence of both disorder and electronic correlations, and will help interpret results of future experiments with disordered optical lattices. The data obtained, especially in the strong-coupling regimes, can also be used to benchmark other numerical methods for disordered fermionic systems.
The activities will provide several undergraduate students from the diverse population of San Jose State University with hands-on research experience in the field of computational condensed matter physics, and with opportunities to improve their scientific communication skills through writing papers and presenting their findings at national scientific meetings. The award also supports the PI in his efforts to integrate research and undergraduate education through the incorporation of computational methods into physics courses.
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.
Crystal defects or impurities, collectively referred to as disorder, in solids can affect their electronic properties in nontrivial ways. The theoretical models we use to gain insight into the collective properties of electrons moving around and interacting with each other in solids, including their tendency to organize themselves in ways that give rise to macroscopically interesting phenomena, such as magnetism or superconductivity, are often constructed in clean and homogeneous environments. This is partly because treating disorder effects on the same footing as all the other important players in an interacting electronic system is very challenging for the vast majority of the numerical methods we use to study those models. In this project, we developed and implemented algorithms based on a numerical method that can already produce exact results for such systems in the clean limit to extend its applicability to systems with disorder. Given the extent of randomness introduced to model parameters due to a certain type of disorder present in the system, we can obtain exact properties such as the heat capacity, magnetization, or the tendency for the system to change its phase, at a range of finite temperatures relevant to experimental realizations. Our results have helped to improve our understanding of how disorder, in the presence interactions, modifies the temperature-dependent collective electronic character of quantum materials.
The project created opportunities for undergraduate and Masters students from the diverse population of San Jose State University, including six from groups historically underrepresented in physics, to engage in research activities, including computer programming, presentation of their findings at conferences, and co-authorship of scientific papers. Traveling to meetings, conferences and workshops for the dissemination of the results obtained for this project, facilitated PI's collaborations, including several with experimental groups, and significantly improved the PI's engagement in his professional field. Sixteen peer-reviewed publications, including three published in journals of Science and Nature, were produced, made possible at least in part due to support from this grant. Activities supported by this grant also promoted building capacity for high-performance computing facilities at the PI's institution.
Last Modified: 03/30/2020
Modified by: Ehsan Khatami
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