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Published March 17, 2022 | public
Journal Article

Using Hyperoptimized Tensor Networks and First-Principles Electronic Structure to Simulate the Experimental Properties of the Giant {Mn₈₄} Torus

Abstract

The single-molecule magnet {Mn₈₄} is a challenge to theory because of its high nuclearity. We directly compute two experimentally accessible observables, the field-dependent magnetization up to 75 T and the temperature-dependent heat capacity, using parameter-free theory. In particular, we use first-principles calculations to derive short- and long-range exchange interactions and compute the exact partition function of the resulting classical Potts and Ising spin models for all 84 Mn S = 2 spins to obtain observables. The latter computation is made possible by using hyperoptimized tensor network contractions, a technique developed to simulate quantum supremacy circuits. We also synthesize the magnet and measure its heat capacity and magnetization, observing qualitative agreement between theory and experiment and identifying an unusual bump in the heat capacity and a plateau in the magnetization. Our work also identifies some limitations of current theoretical modeling in large magnets, such as sensitivity to small, long-range exchange couplings.

Additional Information

© 2022 American Chemical Society. Received 5 February 2022. Accepted 2 March 2022. Published online 7 March 2022. Work by D.-T.C., A.R.H., M.L., G.C., V.S.Z., G.K.-L.C., and H.-P.C. was supported by the Center for Molecular Magnetic Quantum Materials, an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under award no. DE-SC0019330. C.L. was supported by the U.S. National Science Foundation under award no. 1931328. Support for P.H. was provided by the Simons Investigator program. J.G. was supported by a gift from Amazon Web Services, Inc. The facilities of the National High Magnetic Field Laboratory are funded by the National Science Foundation (cooperative agreement no. DMR-1644779), the Department of Energy, and the State of Florida. Computations were performed at the National Energy Research Scientific Computing Center, at University of Florida Research Computing, and on hardware donated by Nvidia. Author Contributions. D.-T.C. and P.H. contributed equally. The authors declare no competing financial interest.

Additional details

Created:
August 22, 2023
Modified:
October 23, 2023