Fast diagonalization of evolving matrices: application to spin-fermion models
Author:
Publisher
IOP Publishing
Subject
Statistics, Probability and Uncertainty,Statistics and Probability,Statistical and Nonlinear Physics
Reference20 articles.
1. Colossal magnetoresistant materials: the key role of phase separation
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3. Understanding the Insulating Phase in Colossal Magnetoresistance Manganites: Shortening of the Jahn-Teller Long-Bond across the Phase Diagram ofLa1−xCaxMnO3
4. Intrinsic Colossal Magnetoresistance Effect in Thin-FilmPr0.5Sr0.5MnO3through Dimensionality Switching
5. Insulator-Metal Phase Diagram of the Optimally Doped Manganites from the Disordered Holstein-Double Exchange Model
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1. Machine learning assisted derivation of minimal low-energy models for metallic magnets;npj Computational Materials;2023-10-16
2. Sample generation for the spin-fermion model using neural networks;Physical Review B;2022-11-08
3. Effective Ruderman–Kittel–Kasuya–Yosida-like Interaction in Diluted Double-exchange Model: Self-learning Monte Carlo Approach;Journal of the Physical Society of Japan;2021-03-15
4. Minimal energy ensemble Monte Carlo algorithm for the partition function of fermions coupled to classical fields;Physical Review E;2016-06-20
5. Efficient Langevin simulation of coupled classical fields and fermions;Physical Review B;2013-12-02
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