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

作者信息

Chen Dian-Teng, Helms Phillip, Hale Ashlyn R, Lee Minseong, Li Chenghan, Gray Johnnie, Christou George, Zapf Vivien S, Chan Garnet Kin-Lic, Cheng Hai-Ping

机构信息

Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.

National High Magnetic Field Laboratory, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.

出版信息

J Phys Chem Lett. 2022 Mar 17;13(10):2365-2370. doi: 10.1021/acs.jpclett.2c00354. Epub 2022 Mar 7.

Abstract

The single-molecule magnet {Mn} 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 = 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.

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