Study of the One- and Two-Band Models for Colossal Magnetoresistive Manganites Using the Truncated Polynomial Expansion Method
C. Sen, G. Alvarez, Y. Motome, N. Furukawa, I. A. Sergienko, T., Schulthess, A. Moreo, and E. Dagotto

TL;DR
This study applies the Truncated Polynomial Expansion Method to large-scale spin-fermion models of manganites, revealing phase transitions and colossal magnetoresistance effects consistent with experiments, and demonstrating TPEM's accuracy for large systems.
Contribution
The paper introduces and validates the TPEM for large-scale manganite models, enabling detailed analysis of CMR phenomena beyond previous computational limits.
Findings
First-order phase transitions between ferromagnetic metal and insulator.
Large magnetoresistance effects at low temperatures with small magnetic fields.
TPEM provides accurate results comparable to exact diagonalization for large lattices.
Abstract
Considerable progress has been recently made in the theoretical understanding of the colossal magnetoresistance (CMR) effect in manganites. The analysis of simple models with two competing states and a resistor network approximation to calculate conductances has confirmed that CMR effects can be theoretically reproduced using non-uniform clustered states. In this paper, the recently proposed Truncated Polynomial Expansion method (TPEM) for spin-fermion systems is tested using the double-exchange one-band, with finite Hund coupling , and two-band, with infinite , models. Two dimensional lattices as large as 4848 are studied, far larger than those that can be handled with standard exact diagonalization (DIAG) techniques for the fermionic sector. The clean limit (i.e. without quenched disorder) is here analyzed in detail. Phase diagrams are obtained, showing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
