TY - JOUR
T1 - Pushing the frontiers of modeling excited electronic states and dynamics to accelerate materials engineering and design
AU - Kang, Kisung
AU - Kononov, Alina
AU - Lee, Cheng Wei
AU - Leveillee, Joshua A.
AU - Shapera, Ethan P.
AU - Zhang, Xiao
AU - Schleife, André
N1 - Funding Information:
This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993 ) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. This work made use of the Illinois Campus Cluster, a computing resource that is operated by the Illinois Campus Cluster Program (ICCP) in conjunction with the National Center for Supercomputing Applications (NCSA) and which is supported by funds from the University of Illinois at Urbana-Champaign .
Funding Information:
We thank Emil Constantinescu, Edoardo di Napoli, Michal Ondrejcek, and Jan Winkelmann for fruitful discussions and Emily Chen and the NCSA SPIN program for visualization support. This material is based upon work supported by the National Science Foundation under Grant Nos. ( DMR-1555153 , CBET-1437230 , OAC-1740219 , and DMR-1720633 ). Financial support from the Sandia National Laboratories-UIUC collaboration (SNL Grant No. 1736375 ), the Materials and Manufacturing Graduate Student Fellowship of the National Center for Supercomputing Applications , Los Alamos National Laboratories - Laboratory Directed Research and Development (LANL-LDRD), the Center for Non-Linear Studies , and the Center for Integrated Nano Technology (CNLS and CINT) is acknowledged.
Funding Information:
We thank Emil Constantinescu, Edoardo di Napoli, Michal Ondrejcek, and Jan Winkelmann for fruitful discussions and Emily Chen and the NCSA SPIN program for visualization support. This material is based upon work supported by the National Science Foundation under Grant Nos. (DMR-1555153, CBET-1437230, OAC-1740219, and DMR-1720633). Financial support from the Sandia National Laboratories-UIUC collaboration (SNL Grant No. 1736375), the Materials and Manufacturing Graduate Student Fellowship of the National Center for Supercomputing Applications, Los Alamos National Laboratories - Laboratory Directed Research and Development (LANL-LDRD), the Center for Non-Linear Studies, and the Center for Integrated Nano Technology (CNLS and CINT) is acknowledged.This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. This work made use of the Illinois Campus Cluster, a computing resource that is operated by the Illinois Campus Cluster Program (ICCP) in conjunction with the National Center for Supercomputing Applications (NCSA) and which is supported by funds from the University of Illinois at Urbana-Champaign.
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - Electronic excitations and their dynamics are oftentimes at the foundation of how we use and probe materials. While recent experimental advances allow us to do so with unprecedented accuracy and time resolution, their interpretation relies on solid theoretical understanding. This can be provided by cutting-edge, first-principles theoretical-spectroscopy based on many-body perturbation theory (MBPT) and time-dependent density functional theory (TDDFT). In this work we review some of our recent results as successful examples for how electronic-structure methods lead to interesting insight into electronic excitations and deep understanding of modern materials. In many cases these techniques are accurate and even predictive, yet they rely on approximations to be computationally feasible. We illustrate the need for further theoretical understanding, using dielectric screening as an example in MBPT and faster, more accurate numerical integrators as a challenge for real-time TDDFT. Finally, we describe how incorporating online databases into computational materials research on excited electronic states can side-step the problem of high computational cost to facilitate materials design.
AB - Electronic excitations and their dynamics are oftentimes at the foundation of how we use and probe materials. While recent experimental advances allow us to do so with unprecedented accuracy and time resolution, their interpretation relies on solid theoretical understanding. This can be provided by cutting-edge, first-principles theoretical-spectroscopy based on many-body perturbation theory (MBPT) and time-dependent density functional theory (TDDFT). In this work we review some of our recent results as successful examples for how electronic-structure methods lead to interesting insight into electronic excitations and deep understanding of modern materials. In many cases these techniques are accurate and even predictive, yet they rely on approximations to be computationally feasible. We illustrate the need for further theoretical understanding, using dielectric screening as an example in MBPT and faster, more accurate numerical integrators as a challenge for real-time TDDFT. Finally, we describe how incorporating online databases into computational materials research on excited electronic states can side-step the problem of high computational cost to facilitate materials design.
KW - Database
KW - Many-body perturbation theory
KW - Metals
KW - Semiconductors
KW - Time-dependent density functional theory
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U2 - 10.1016/j.commatsci.2019.01.004
DO - 10.1016/j.commatsci.2019.01.004
M3 - Article
AN - SCOPUS:85060112050
SN - 0927-0256
VL - 160
SP - 207
EP - 216
JO - Computational Materials Science
JF - Computational Materials Science
ER -