Abstract
We present a method for computing the resonant inelastic x-ray scattering (RIXS) spectra in one-dimensional systems using the density matrix renormalization group (DMRG) method. By using DMRG to address this problem, we shift the computational bottleneck from the memory requirements associated with exact diagonalization (ED) calculations to the computational time associated with the DMRG algorithm. This approach is then used to obtain RIXS spectra on cluster sizes well beyond state-of-the-art ED techniques. Using this new procedure, we compute the low-energy magnetic excitations observed in Cu L-edge RIXS for the challenging corner shared CuO4 chains, both for large multi-orbital clusters and downfolded t-J chains. We are able to directly compare results obtained from both models defined in clusters with identical momentum resolution. In the strong coupling limit, we find that the downfolded t-J model captures the main features of the magnetic excitations probed by RIXS only after a uniform scaling of the spectra is made.
Original language | English |
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Article number | 11080 |
Journal | Scientific Reports |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - Dec 1 2018 |
Externally published | Yes |
Funding
A.N., N.K., and E.D. were supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division. G. A. and S. J. were supported by the Scientific Discovery through Advanced Computing (SciDAC) program funded by the U.S. Department of Energy, Office of Sciences, Advanced Scientific Computing Research and Basic Energy Sciences, Division of Materials Sciences and Engineering. N.K. was also partially supported by the National Science Foundation Grant No. DMR-1404375. This research used computational resources supported both by the University of Tennessee and Oak Ridge National Laboratory Joint Institute for Computational Sciences (Advanced Computing Facility). It also used computational resources at the National Energy Research Scientific Computing Center (NERSC).
Funders | Funder number |
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Advanced Scientific Computing Research and Basic Energy Sciences | |
Office of Sciences | |
National Science Foundation | |
U.S. Department of Energy | |
Directorate for Mathematical and Physical Sciences | 1404375 |
Office of Science | |
Basic Energy Sciences | |
Division of Materials Sciences and Engineering |