The thermopower properties of interacting systems
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Introduction to the show: ident: Quantum Radio. Generated commentary on the latest quantum physics and condensed matter papers.
Kai: I'm Kai, and with me are Mira and Lev, guest researcher.
Mira: Today's paper: "The thermopower properties of interacting systems".
Kai: The gist:
Mira: First, who's behind it and why it matters.
Title and authors: Kai: So the paper "The thermopower properties of interacting systems" by Habitzreuter, de Freitas da Silva, Fontenele, Costa and Paiva talks about how they use determinant quantum Monte Carlo to link interaction changes directly to electronic structure shifts.
Mira: The authors show that the Seebeck coefficient is obtained through the Kelvin formula using entropy data derived from density calculations. They are testing this across several interaction types like attractive interactions, nearest-neighbor interactions, sublattice potentials, and electron-phonon coupling.
Lev: From a quantum error correction standpoint, we have to ask how robust these findings are when you try to translate them to real hardware constraints because of the strong correlations they are studying.
Kai: It’s about seeing how adding these different interaction scales—like attractive versus repulsive interactions—actually changes the material's behavior near half-filling.
Mira: They specifically noted that in the attractive and noninteracting cases, the only sign change in the Seebeck coefficient occurs at half-filling because of particle-hole symmetry.
The paper's summary: Kai: The paper "The thermopower properties of interacting systems" summarizes their findings by showing how they systematically control inherent approximations by increasing computational effort, specifically by reducing the Trotter decomposition error to less than or equal to zero point one in their simulations.
Mira: They also showed that when you use the Hubbard-Stratonovich transformation, which turns many-particle terms into single-particle quadratic ones, they can use discrete real fields that take values of plus or minus one for ea, which simplifies things computationally <ref:2605.14225#pg3>.
Lev: From an engineering standpoint we need to know if that reduced error level is actually enough to see the physical effects they are looking for, like those subtle Fermi surface reconstructions.
Kai: The paper links the sign change in the Seebeck coefficient directly to a Fermi surface reconstruction when they analyze spectral functions at zero frequency, A(k, omega = zero) <ref:2605.14225#pg3>. That's how they diagnose what's happening in the electronic structure.
Mira: And they show that this hole-like FS behavior persists for other values of U and temperature, which suggests this isn't just a fluke in the parameters they chose.
The paper's improvements: Kai: To wrap up on "The thermopower properties of interacting systems," these results show that the Seebeck coefficient is a very sensitive probe for interaction-driven changes in electronic structure, including Mott gap formation and Fermi surface reconstruction.
Mira: The key points are that additional interaction scales can significantly enhance the thermopower response, with nearest-neighbor interactions really amplifying the anomaly near half-filling in the extended Hubbard model.
Lev: What this means for running things is that we need to focus on how these insulating behaviors and metal-insulator boundaries are connected, because that’s where the Seebeck anomaly starts showing up.
Kai: Right, so if we can tune these interaction scales correctly, we can get a much stronger voltage response from a material. We’ll be looking at spin Seebeck effect next.
Mira: Yeah, this paper opens the door to thinking about how CDW physics and other electronic interactions can be used as tunable ingredients in designing efficient low-temperature thermoelectric materials.
Conclusion: Kai: So we've been talking about "The thermopower properties of interacting systems" by Habitzreuter et al. and how they use determinant quantum Monte Carlo to link interaction changes directly to electronic structure shifts.
Mira: And the key is that they found attractive interactions can lead to things like a supersolid phase at half-filling or s-wave superconductivity away from it. That really connects the voltage anomaly we measure in thermopower to some deep structural physics happening in the material itself.
Lev: From an engineering standpoint, we're still looking at whether those specific interaction scales actually translate into something measurable on real hardware because of how much error is involved in simulating those strong correlations.
Kai: Exactly Lev, it’s about tuning the system using attractive versus repulsive interactions and seeing if that leads to a sign change in the Seebeck coefficient, which is what makes this paper interesting for thermoelectric design.
Mira: And they also looked at nearest-neighbor repulsion in the extended Hubbard model and saw that it tends to localize pairs on one sublattice, producing a charge density wave pattern when you're near half-filling. That CDW pattern is something we need to keep an eye on because it could potentially open up a gap that makes the material insulating, which is good for some thermoelectric applications.
Lev: So if we can confirm that spectral shift pattern across different interaction scales is robust, it gives us confidence that the physics they are seeing isn't just a fluke in the model setup.
Kai: Right, so to wrap up on "The thermopower properties of interacting systems," these results show that the Seebeck coefficient is a very sensitive probe for interaction-driven changes in electronic structure, including Mott gap formation and Fermi surface reconstruction.
Mira: The key points are that additional interaction scales can significantly enhance the thermopower response, with nearest-neighbor interactions really amplifying the anomaly near half-filling in the extended Hubbard model.
Lev: What this means for running things is that we need to focus on how these insulating behaviors and metal-insulator boundaries are connected, because that’s where the Seebeck anomaly starts showing up.
Kai: Right, so if we can tune these interaction scales correctly, we can get a much stronger voltage response from a material. We'll be looking at spin Seebeck effect next.
Mira: Yeah, this paper opens the door to thinking about how CDW physics and other electronic interactions can be used as tunable ingredients in designing efficient low-temperature thermoelectric materials.
Lev: I just want to say that confirming these specific mechanisms is what will tell us if we can actually engineer a material with a measurable enhancement on our current platforms.
Kai: We'll keep building on this, but for now, that’s where we are with this paper on "The thermopower properties of interacting systems."
M. A. Habitzreuter, Willdauany C. de Freitas da Silva, Rodrigo A. Fontenele, Natanael C. Costa, * and Thereza Paiva
International Institute of Physics, Universidade Federal do Rio Grande do Norte · Departamento de Física, Universidade Federal da Paraíba · Instituto de Física, Universidade Federal do Rio de Janeiro
cond-mat.str-el
Submitted: 2026-05-14
Updated: 2026-10-14
License: http://creativecommons.org/licenses/by-nc-nd/4.0/
Importance score: 77/100
The gist: The gist: Additional interaction scales can indeed enhance the Seebeck coefficient and further induce multiple sign changes as a function of doping Introduction and Motivation The Seebeck coefficient
Key concepts
- Seebeck Coefficient
- This measures the voltage generated across a material when it's subjected to a temperature gradient. It is a key property for thermoelectric performance, indicating how efficiently heat can be converted into electrical energy.
- Determinant Quantum Monte Carlo (DQMC)
- This is the computational method used to calculate thermodynamic properties like entropy from quantum mechanical simulations. It helps determine the density profiles and local density of states within complex interacting systems.
- Fermi Surface Reconstruction (FSR)
- This refers to a change in the shape or topology of the electron's Fermi surface due to electronic interactions. A sign change in the Seebeck coefficient is often a direct signature that this reconstruction is occurring, indicating a shift in carrier type.
- Electron-Phonon Coupling
- This describes how electrons interact with lattice vibrations (phonons). Even without on-site repulsion, electron-phonon coupling alone can induce an anomaly in the Seebeck coefficient, suggesting that lattice interactions play a significant role alongside electronic ones.
Summary
The gist: Additional interaction scales can indeed enhance the Seebeck coefficient and further induce multiple sign changes as a function of doping
Introduction and Motivation
The Seebeck coefficient quantifies the voltage generated across a material in response to a temperature gradient It is important to note that optimizing thermoelectric performance is challenging because it requires not only a large S, but also high electrical conductivity and low thermal conductivity Strong electronic correlations offer a promising new avenue for its enhancement because correlated systems exhibit non-rigid band structures which may be tuned to achieve more favorable combinations of S, σ, and κ Correlated narrow-gap semiconductors like FeSi and FeSb2 exhibit exceptionally large Seebeck coefficients that significantly exceed predictions of conventional electronic band structure theories Cuprates also exhibit an anomalous Seebeck coefficient, such as a pronounced decrease of S/T to negative values in underdoped YBa2Cu3O6+y (YBCO) at low temperatures
Methodology
The study investigates the Seebeck coefficient in the presence of attractive interactions, nearest-neighbor interactions, sublattice potentials, and electron-phonon coupling The Seebeck coefficient is obtained via the Kelvin formula using entropy data derived from density calculations within determinant quantum Monte Carlo (DQMC) The general Hamiltonian considered is H = HK + HU + HV + Hel−ph + Hph, which includes hopping energy, onsite and nearest-neighbor interactions, local electron-ion interaction, and optical phonon modes Thermodynamic and transport properties are obtained by performing Determinant Quantum Monte Carlo (DQMC) simulations The entropy is computed using the formula s(µ, T) = Z µ / µ0 dµ' ∂n / ∂T µ' The Seebeck coefficient is then calculated using the Kelvin formula SKelvin = -1/e dµ / ∂T n = 1/e dS / dn T
Results on Interaction Scales
The investigation covers four limits of the general Hamiltonian, including the attractive Hubbard model (AHM) where U < 0, the extended Hubbard model (EHM) which includes nearest-neighbor electron-electron interactions and electron-phonon effects, and the ionic Hubbard model which introduces a staggered on-site potential
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In the attractive Hubbard model, for U/t = -6 at half-filling, the ground state supports a supersolid phase, while away from half-filling it exhibits s-wave superconducting order The Seebeck coefficient exhibits a sign change for n!= 1 driven by electronelectron interactions in the repulsive case, but in the attractive and noninteracting cases, the only sign change occurs at half-filling due to particle-hole symmetry
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In the extended Hubbard model around half-filling, adding a nearest-neighbor repulsion V > 0 tends to localize pairs on one sublattice, producing a CDW pattern which opens a charge gap at half-filling The thermopower anomaly is larger in the case with NN interactions than in the on-site case
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In the extended Hubbard model around quarter-filling, an additional sign change of the Seebeck coefficient is observed, which is robust for T/t ≲ 1 This sign change is associated with a Fermi surface reconstruction (FSR) driven by electronic interactions
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In the Holstein-Hubbard model, electron-phonon coupling smooths out the Mott plateau already visible in the pure Hubbard model, and increasing λ at fixed U = 0 effectively narrows the bandwidth leading to behavior similar to that of the attractive Hubbard model The presence of both electron-electron and electron-phonon interactions suppresses the anomaly of the Seebeck coefficient
Fermi Surface Reconstruction
The sign change in the Seebeck coefficient is a hallmark of a change in carrier type, potentially associated with a Fermi surface reconstruction driven by electronic interactions This is evidenced by analyzing spectral functions A(k, ω = 0) at the Fermi level for U/t = 10 and different electronic densities For densities where the Seebeck coefficient changes sign, the peaks of A(k, ω = 0) shift in a manner consistent with a hole-like FS This behavior persists for other values of U and temperature, directly associating the sign change in the Seebeck coefficient with an FSR
Conclusion
The results establish the Seebeck coefficient as a sensitive probe of interaction-driven changes in electronic structure, including Mott gap formation and Fermi-surface reconstruction The onset of the Seebeck anomaly is closely connected to the emergence of insulating behavior and to the corresponding metal-insulator boundaries Additional interaction scales can significantly enhance the thermopower response, with nearest-neighbor interactions strongly amplifying the Seebeck anomaly near half-filling in the extended Hubbard model The study suggests that future research should investigate spin Seebeck effect in strongly correlated systems
Acknowledgements
The authors thank R.G. Pereira for enlightening discussions about this work The authors acknowledge financial support from the Brazilian funding agencies Conselho Nacional de Desenvolvimento Científicos e Tecnológico (CNPq), Coordenação de Aperfeiçoamento de Pessoal de Ensino Superior (CAPES), and Fundação de Amparo à Pesquisa do Estado do Rio Grande do Norte (FAPERJ) T.P. acknowledges support from FAPERJ Grants No. E-26/210.100/2023, E-26/210.781/2025, and E-26/200.230/26 N.C.C acknowledges support from FAPERJ Grants No. E-26/ 998/ 35 / 19, Serrapilheira Institute Grant No. R-2502-52037, and CNPq grant Nos. 308130/25-1, Serrapilheira Institute Grant No. R-2502-52037 CAPES for funding, the International Institute of Physics of UFRN (IIP-UFRN), where part of this work was completed (Grant No. 1699/24 IIF-FINEP), and CENAPAD-SP (National Center for High Performance Processing in São Paulo) for computational resources, project UNICAMP/FINEP-MCTI The paper is organized as follows. Section II introduces the model Hamiltonians, the determinant quantum Monte Carlo (DQMC) method, and the physical observables considered Section III presents results for (A) the attractive Hubbard model, (B) the extended Hubbard model, (C) the Holstein and Hubbard-Holstein models, and (D) the ionic Hubbard model In Section IV we discuss the relation between the Fermi surface reconstruction and the Seebeck anomaly Our conclusions and perspectives are given in Section V Appendix A: Cluster Perturbation Theory The results are presented below.
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The density profiles, local density of states, and entropy were shown in Figure 2 (a), including a dip at n = 1 for V /t = 1 Consequently, the Seebeck coefficient exhibits anomalies near half-filling for these parameters Notice that the thermopower anomaly is larger in the case with NN interactions than in the on-site case Interestingly, in the CDW phase, the charge gap directly measures the order parameter
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The results for temperature T /t = 0.5, with U/t = -6 and V /t = 0 the density profile varies mostly around µ = 0, thus we used δµ = 0.1 for µ < 2 and δµ = 0.2 otherwise For U/t = -6 and V /t = 1, we used δµ = 0.6 in the plateaus, where there is a small density variation with µ, and δµ = 0.
Improvements for AI systems
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textbfFundamental Thermoelectric Property Prediction from Interactions: Develop a predictive model for Seebeck coefficient anomalies based on interaction type and doping level, as demonstrated by investigating
attractive interactions
versusrepulsive interactions
in the AHM (Section III A). This system can predict when an anomalous sign change in SKelvin is expected based on whether the interaction strength U/t is positive or negative at half-filling, noting thatfor attractive and noninteracting cases, the only sign change occurs at halffilling due to particle-hole symmetry.
-
textbfFermi Surface Reconstruction (FSR) Identification: Implement a method to diagnose Fermi surface topology changes using spectral weight analysis near the Fermi level, as shown in Section IV. This improved system can distinguish between
an electron-like closed FS
and ahole-like FS
by analyzing shifts in spectral peaks of A(k, ω = 0) when the Seebeck coefficient changes sign. -
textbf Charge Density Wave (CDW) Order Detection: Create an automated tool to detect incipient CDW order using the charge structure factor S CDW(q), as analyzed in Section III B. This system can map a
metallic region (dark blue color) and a CDW region (dark green color)
in the phase diagram of the Extended Hubbard Model, signaling potential thermoelectric enhancement linked toCDW order.
-
textbf Phonon-Mediated Transport Modeling: Develop a simulation capability to quantify how electron-phonon coupling suppresses or enhances thermopower, as analyzed in Section III C. This tool can predict that
the presence of both electron-electron and electron-phonon interactions suppresses the anomaly of the Seebeck coefficient
in the Holstein-Hubbard model, clarifying complex transport regimes. -
textbf Phase Boundary Mapping for Insulating Regimes: Build a system capable of mapping phase transitions between metallic, bandinsulating, and Mott-insulating states using the ionic Hubbard model (Section III D). This allows the system to determine that
the Seebeck coefficient clearly distinguishes the metallic, band-insulating, and Mott-insulating regimes,
capturing transitions wherethe onset of the Seebeck anomaly is closely connected to the emergence of insulating behavior.
Abstract
The Seebeck coefficient quantifies the voltage generated across a material in response to a temperature gradient. Recent studies have shown that strong electronic correlations can enhance this coefficient, producing anomalous behavior near half-filling associated with the Mott plateau. This raises the possibility that other interaction scales, not necessarily originating in Mott physics, could give rise to similar enhancements. Here, we investigate the Seebeck coefficient in the presence of attractive interactions, nearest-neighbor interactions, sublattice potentials, and electron-phonon coupling. The Seebeck coefficient is obtained via the Kelvin formula, using entropy data derived from density calculations within determinant quantum Monte Carlo (DQMC). We find that these additional interaction scales can indeed enhance the Seebeck coefficient and further induce multiple sign changes as a function of doping. We show that this anomalous behavior is associated with the opening of a gap in the ground state, as computed via cluster perturbation theory (CPT). Moreover, electron-phonon coupling alone-even in the absence of on-site repulsion-can produce a Seebeck anomaly. We relate these sign changes to a restructuring of the Fermi surface and an accompanying change in its topology, an effect commonly observed in cuprates.
Sources
- Sign changes of the thermoelectric transport coefficient across the metal-insulator crossover in the doped Fermi Hubbard model
- An introduction to quantum cluster methods
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