Award Abstract # 1738698
RII Track-4: Big Data and Massive Computation Approaches to Non-Equilibrium Dynamics of Strongly Correlated Materials

NSF Org: OIA
OIA-Office of Integrative Activities
Recipient: UNIVERSITY OF ALABAMA AT BIRMINGHAM
Initial Amendment Date: September 12, 2017
Latest Amendment Date: April 22, 2019
Award Number: 1738698
Award Instrument: Standard Grant
Program Manager: Subrata Acharya
acharyas@nsf.gov
 (703)292-2451
OIA
 OIA-Office of Integrative Activities
O/D
 Office Of The Director
Start Date: September 15, 2017
End Date: February 28, 2022 (Estimated)
Total Intended Award Amount: $222,122.00
Total Awarded Amount to Date: $228,228.00
Funds Obligated to Date: FY 2017 = $222,122.00
FY 2019 = $6,106.00
History of Investigator:
  • Cheng-Chien Chen (Principal Investigator)
    chencc@uab.edu
Recipient Sponsored Research Office: University of Alabama at Birmingham
701 S 20TH STREET
BIRMINGHAM
AL  US  35294-0001
(205)934-5266
Sponsor Congressional District: 07
Primary Place of Performance: University of Alabama at Birmingham
1720 2nd Ave S
Birmingham
AL  US  35294-0004
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): YND4PLMC9AN7
Parent UEI:
NSF Program(s): EPSCoR Research Infrastructure,
Leadership-Class Computing
Primary Program Source: 01001718DB NSF RESEARCH & RELATED ACTIVIT
01001920DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 9150
Program Element Code(s): 721700, 778100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.083

ABSTRACT

Non-technical Description
In some materials, the motion of elections through the material structure can be highly correlated, such that the electrons behave as cars move in heavy traffic; they cannot maneuver freely and their motions are strongly influenced by others. Materials that exhibit electron correlations also exhibit intriguing properties, such as metal-insulator transitions and unconventional superconductivity. However, whether electron correlation is the sole cause of these observed effects has perplexed scientists for decades. Overcoming this gap in knowledge could open up revolutionary opportunities for novel transistor and ultrafast device applications. In this project, the PI will use the supercomputing capabilities at Oak Ridge National Laboratory to tackle this challenging problem. Advanced simulations will be performed using tens of thousands of computing processors to model the behavior of electron correlation systems at the atomic scale. The research will generate more than 100 terabytes of data, requiring that Big Data techniques be employed to effectively process and analyze the huge data volume. The project includes efforts to broaden participation in the next-generation scientific computing workforce. The research topics address several of the 10 Big Ideas for Future NSF Investments and the Grand Challenges in Basic Energy Sciences, thereby also having potential impacts on U.S. science leadership and an energy-sustainable future.

Technical Description
The project's focus is on modeling quantum many-body phenomena driven away from equilibrium, with the goal of understanding correlated electrons' non-equilibrium behaviors revealed by time-domain spectroscopies at ultra-short time scales. Matrix diagonalization over 100 billion basis states will be tackled by matrix-free and dataflow computing. Equilibrium and non-equilibrium wavefunction-based quantum impurity solvers also will be developed. Non-linear time series regression will be further implemented to alleviate the computational cost for time-evolution calculations. The resulting codes will be employed to simulate ultrafast photon-based spectroscopies on vanadium dioxide (VO2), using effective single-band Hubbard model and multi-orbital Hamiltonian from Wannier projection. The role of structure transition will be addressed by restricted phonon calculations. These simulations could significantly advance the understanding of non-equilibrium phenomena and photo-induced phase transitions in VO2 and other strongly correlated transition-metal oxides. Open-source softwares also will be made freely available to the public for parallel cloud computing to further benefit the scientific community for numerical studies of non-equilibrium many-body problems.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Wang, Yao and Chen, Cheng-Chien and Moritz, B. and Devereaux, T. P. "Light-Enhanced Spin Fluctuations and d -Wave Superconductivity at a Phase Boundary" Physical Review Letters , v.120 , 2018 10.1103/PhysRevLett.120.246402 Citation Details
Wang, Yao and Devereaux, Thomas P. and Chen, Cheng-Chien "Theory of time-resolved Raman scattering in correlated systems: Ultrafast engineering of spin dynamics and detection of thermalization" Physical review. B, Condensed matter , v.98 , 2018 doi.org/10.1103/PhysRevB.98.245106 Citation Details
Wang, Yao and Shi, Tao and Chen, Cheng-Chien "Fluctuating Nature of Light-Enhanced d-Wave Superconductivity: A Time-Dependent Variational Non-Gaussian Exact Diagonalization Study" Physical review , v.11 , 2021 https://doi.org/10.1103/PhysRevX.11.041028 Citation Details
Wang, Yao and Shi, Tao and Chen, Cheng-Chien "Fluctuating Nature of Light-Enhanced d -Wave Superconductivity: A Time-Dependent Variational Non-Gaussian Exact Diagonalization Study" Physical Review X , v.11 , 2021 https://doi.org/10.1103/PhysRevX.11.041028 Citation Details

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.

In strongly correlated materials, electrons cannot maneuver freely and their motions are strongly influenced by others, like cars moving in heavy traffic. When these materials are driven to non-equilibrium, intriguing phenomena such as metal-insulator transition and superconductivity can further emerge. Understanding the behaviors of correlated electrons out of equilibrium remains a challenging task. Overcoming the challenge could open up revolutionary opportunities for novel device applications. In this project, the PI have utilized advanced quantum simulations with high-performance supercomputing to tackle the challenging problem of modeling non-equilibrium strongly correlated systems.

Intellectual Merit:

In two high-profile publications [Phys. Rev. Lett. 120, 246402 (2018) and Phys. Rev. X 11, 041028 (2021)], the PI and collaborators have studied the non-equilibrium dynamics of correlated electron systems coupled with phonons (quanta of lattice vibrations). It is found that the d-wave superconductivity pairing correlation can be enhanced by a pulse laser, when the original equilibrium system resides near a quantum phase boundary. However, the pairing correlation length is heavily suppressed, indicating that the induced electron Cooper pairs are essentially local, and that light-enhanced superconductivity may be of fluctuating nature.

To study the above problems, a novel quantum many-body approach was developed to simulate non-equilibrium electron-phonon systems. This approach separates the electronic wave function, the phonon wave function, and their entanglement. This allows solving the dynamics of each component using respectively exact diagonalization and variational methods while evolving the entire wave function self-consistently. The study is an important step towards understanding ultrafast light-induced phenomena in strongly correlated materials with prominent lattice effects.

In another publication [Phys. Rev. B 98, 245106 (2018)], the PI and collaborators have developed the theory for non-resonant time-resolved Raman scattering, and simulated the pump-probe dynamics of a correlated Mott-Hubbard model. It is found that for high-frequency and off-resonance pumps, the Floquet theory can capture the softening of magnon. Moreover, at small pump fluences, effective heating can dominate, while many-body effects take over at larger pump amplitudes and frequencies on resonance to the Mott gap. The results demonstrated that time-resolved Raman scattering provides the platform to explore various ultrafast processes and engineer fundamental interactions out of equilibrium. 

Broader of Impacts:

During the project period, the PI has mentored 4 PhD, 8 undergrad, and 1 high-school students. The students are of diversified backgrounds, including female, African American, and veteran students. They have received training on materials modeling, quantum many-body theory, high-performance supercomputing, and data-driven machine learning. In addition to scientific writing and publication, the students were supervised to present in local/regional/national conferences to improve their presentation/communication skills and to disseminate research findings. The PI has developed new courses "Computational Solid-State Physics" and "Machine Learning Applications in Physics and Materials Science" for his Department's computational physics track. The courses covered interdisciplinary topics in computational physics, data sciences, and materials modeling, where part of the educational materials come directly from activities supported by this grant. The PI has served as lecturers at the Birmingham Summer Institute held by the non-profit organization College Admissions Made Possible for 100 African American elementary-school students, and in the Tech Track Camp organized by American Association of University Women for 65 eighth-grade girls from 17 Alabama counties. The PI's extensive student mentoring, education, and outreach efforts will help build up advanced STEM workforce for Alabama and the U.S., by engaging them at various stages and by capturing America's strength in diversity.

The project topics directly address two of the Five Grand Challenges in Basic Energy Sciences, including understanding emergent phenomena due to correlation effects and characterizing material properties away from equilibrium. Using innovative computation techniques and data-driven discoveries to study non-equilibrium complex quantum systems also concerns several of the 10 Big Ideas for Future NSF Investments. Therefore, the project outcomes have potential impacts on an energy-sustainable future and help push forward the frontier of U.S. science leadership.


Last Modified: 05/24/2022
Modified by: Cheng-Chien Chen

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