Low-energy effective model for H4 square molecule derived from ab initio calculations
ORAL
Abstract
Effective model Hamiltonians are the workhorse of the study of complex electronic states. Typically these models are some degree of phenomenological, in that they are justified based on their agreement with experimental results. However, as models become more complex, this comparison becomes difficult to make in a systematic way. On the other hand, it is now possible to perform many-body quantum calculations to high accuracy for systems with ab initio Hamiltonians and up to hundreds of electrons. These calculations give key insights into correlated electron physics at that scale.
We rigorously examine effective model Hamiltonians for the purely theoretical H4 square molecule, using exact ab initio calculations as a data source. We explicitly construct a 1-1 mapping between a single-band model and the infinite dimensional low-energy ab initio space. Renormalization of operators such as double occupancy are derived as a part of the process. We find that such operator renormalization is key to obtaining simple and accurate models from first principles.
We rigorously examine effective model Hamiltonians for the purely theoretical H4 square molecule, using exact ab initio calculations as a data source. We explicitly construct a 1-1 mapping between a single-band model and the infinite dimensional low-energy ab initio space. Renormalization of operators such as double occupancy are derived as a part of the process. We find that such operator renormalization is key to obtaining simple and accurate models from first principles.
* S.J. was supported by the National Science Foundation under Grant No. DGE-1922758 and L.K.W. by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Computational Materials Sciences Program, under Award No. DE-SC0020177. 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.
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Presenters
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Sonali Joshi
University of Illinois at Urbana-Champaign
Authors
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Sonali Joshi
University of Illinois at Urbana-Champaign
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Lucas K Wagner
University of Illinois at Urbana-Champaign