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Published November 7, 2019 | Supplemental Material
Journal Article Open

Design of a One-Dimensional Stacked Spin Peierls System with Room-Temperature Switching from Quantum Mechanical Predictions

Abstract

Planar bis-1,2-dithiolene complex anions of a transition metal (denoted as [M(dithiolato)₂]− and M = Ni, Pd, or Pt ion) favor forming columnar stacks of anions in the crystal that feature S = 1/2 spin-chains, and such a spin-chain compound often undergoes a spin-Peierls-type transition, making this a promising material for conducting and magnetic switching. However, current examples show the transition temperatures are far too low for most applications. We use quantum mechanics to predict that changing the cation arrangement from the boat-type to the chair-type packing configuration in a spin-Peierls-type [Ni(dithiolato)₂]⁻ complex will substantially stabilize the antiferromagnetic coupling, dramatically increasing the transition temperature. We estimate that the [Ni(mnt)₂]-based complexes (mnt = maleonitriledithiolate) with chair-type packing of cations will lead to critical temperatures of ∼170, ∼252, and ∼310 K for S-, Se-, and Te-based mnt, respectively. We also suggest how to stabilize the chair-type configurations of these systems.

Additional Information

© 2019 American Chemical Society. Received: July 30, 2019; Accepted: October 3, 2019; Published: October 3, 2019. We thank the Joint Ph.D. program of China Scholarships Council (Grant CSC No. 201608320161) for financial support of H.Y. This work was partially supported by the Postdoctoral routine program from Office of Human Resources and Social Security in Jiangsu Province of China (Grant No. 2019Z282). We thank the National Nature Science Foundation of China (Grant Nos. 91122011, 21071080, and 21671100), Priority Academic Program Development of the Jiangsu Higher Education Institutions, and the 111 Project of Collaborative Innovation Center of Suzhou Nano Science & Technology; W.A.G. received support from the Department of Energy (DE-SC0014607). We used the computational resources from the Extreme Science and Engineering Discovery Environment, which is supported by National Science Foundation Grant ACI-1548562. The authors declare no competing financial interest.

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