Exploring the Thermoelectric Properties of Nitrogen-doped Carbon Nanotubes
© The Physical Society of Japan
This article is on
Optimal Thermoelectric Power Factor of Narrow-Gap Semiconducting Carbon Nanotubes with Randomly Substituted Impurities
J. Phys. Soc. Jpn.
90,
044702
(2021)
.
A semiconducting carbon nanotube doped with an optimal concentration of nitrogen delivered a thermoelectric power substantially higher than that delivered by commercial Bi2Te3 alloys.

Thomas Johann Seebeck discovered the thermoelectric (TE) conversion from heat to electrical energy just 200 years ago. Recently, high-performance TE materials have attracted research interest as energy-harvesting technologies. Most of the experimentally discovered TE materials are impurity-doped semiconductors i.e., disordered systems. High-TE effects are expected near the band edge in the impurity-doped semiconductors, where the electronic states are under the influence of strong impurity scattering not properly treated by the conventional Boltzmann transport theory (BTT). Therefore, it is necessary to develop a sophisticated theory beyond BTT. Recently, the authors (T.Y. and H.F.) have alleviated this drawback using the linear response theory (Kubo–Luttinger formula) in conjunction with the thermal Green's function technique [1–3].
The TE linear response theory was successfully applied to nitrogen-doped semiconducting carbon nanotubes (N-CNTs) in the present study. The N-CNTs functioned as lightweight, flexible, and high-performance TE materials. The power factor, PF (=L11S2), was dependent on the nitrogen concentration, c (up to 10-2), per unit cell of a CNT at various temperatures. The electrical conductivity and Seebeck coefficient were designated as L11 and S, respectively. The PF increased with a decrease in c at 300 K. When cdecreased to less than the optimal impurity concentration, copt (= 3.1×10-5), the PF started to decrease. This behavior was explained based on L11 and S, considering the c-dependence of the chemical potential, μ. The μ at c = 10-3located below the donor level formed via nitrogen doping, and the electrons were thermally excited from the donor level to conduction band. The μ level shifted downward with a decrease in c owing to a decrease in the net carrier density of the N-CNTs. Here, |S| increased with a decrease in c. A decrease in c, corresponding to a decrease in the rate of scattering by the impurities, was accompanied by an increase in L11owing to the electrons in the conduction band. Consequently, the PFincreased with a decrease in c. A further lowering of c promoted the asymptotic approach of μ toward the center of the band gap owing to the thermally excited holes. The holes contributed to an increase in L11; however, |S| decreased rapidly because the hole contribution to S cancels out the electron contribution to S. Therefore, the PF started to decrease below copt. These results facilitated successful estimation of the optimal nitrogen concentration to maximize the PF at various temperatures. A PF of 0.30 W/K2m was obtained for copt at 300 K, which is significantly higher than the PF of commercial Bi2Te3alloys. These theoretical predictions will facilitate the development of new materials with optimal TE performances.
(written by M. Matsubara on behalf of all authors)
References
[1] T. Yamamoto and H. Fukuyama, J. Phys. Soc. Jpn. 87, 024707 (2018).
[2] T. Yamamoto and H. Fukuyama, J. Phys. Soc. Jpn. 87, 114710 (2018).
[3] M. Ogata and H. Fukuyama, J. Phys. Soc. Jpn. 88, 074703 (2019).
Optimal Thermoelectric Power Factor of Narrow-Gap Semiconducting Carbon Nanotubes with Randomly Substituted Impurities
J. Phys. Soc. Jpn.
90,
044702
(2021)
.
Share this topic
Fields
Related Articles
-
Topological Recast of Vortex Structures in Human Heart Blood Flow
Cross-disciplinary physics and related areas of science and technology
Electromagnetism, optics, acoustics, heat transfer, and classical and fluid mechanics
2026-2-16
We developed a new topological data analysis method to objectively identify the cardiac vortex structures. The method provides robust quantitative metrics for advancing cardiovascular diagnostics.
-
Rethinking Replica Analysis of Learning
Cross-disciplinary physics and related areas of science and technology
Statistical physics and thermodynamics
2026-1-19
The statistical physics analysis of learning parametric models was revisited by combining the replica method with a grand canonical ensemble and variational approach, enabling prediction error estimation for learning systems with real data.
-
Synthesis of Frustrated Magnets via Low-Temperature Topochemical Reactions
Cross-disciplinary physics and related areas of science and technology
Magnetic properties in condensed matter
2026-1-6
Topochemical exchange converts Li2CoTi3O8 into metastable Co2Ti3O8 with a diamond network, showing strong J1–J2 frustration, TN near 4.4 K, and four magnetization steps up to 50 T.
-
The Physics of Light-Spin Interactions: Advances in Photodriven Quantum Spin Systems
Dielectric, optical, and other properties in condensed matter
Electromagnetism, optics, acoustics, heat transfer, and classical and fluid mechanics
Electronic transport in condensed matter
Magnetic properties in condensed matter
Statistical physics and thermodynamics
2025-12-17
This Special Topics edition of the Journal of the Physical Society of Japan discusses the recent progress and future directions for the rapidly progressing field of photodriven quantum spin systems.
-
Topological Photonics: Recent Advances in Controlling Light
Cross-disciplinary physics and related areas of science and technology
Dielectric, optical, and other properties in condensed matter
Electromagnetism, optics, acoustics, heat transfer, and classical and fluid mechanics
Electronic structure and electrical properties of surfaces and nanostructures
Structure and mechanical and thermal properties in condensed matter
2025-12-8
The special topics edition of the Journal of the Physical Society of Japan presents five new review articles offering cutting-edge information on the emerging field of topological photonics.
