[1]
Zhang, L., Shi, X.L., Yang, Y.L. and Chen, Z.G., 2021. Flexible thermoelectric materials and devices: From materials to applications. Materials today, 46, pp.62-108.
DOI: 10.1016/j.mattod.2021.02.016
Google Scholar
[2]
d'Angelo, M., Galassi, C. and Lecis, N., 2023. Thermoelectric materials and applications: A review. Energies, 16(17), p.6409.
DOI: 10.3390/en16176409
Google Scholar
[3]
Anu, K. and Hemalatha, J., 2020. Magnetically tuned thermoelectric behavior of Zn-doped magnetite nanofluids. Nanotechnology, 32(2), p.025707.
DOI: 10.1088/1361-6528/abb72a
Google Scholar
[4]
Suraj, K.S., Eivari, H.A., Tatara, G. and Assadi, M.H.N., 2024. Tripling magnetite's thermoelectric figure of merit with rare earth doping. Journal of Materials Chemistry C, 12(47), pp.19212-19218.
DOI: 10.1039/d4tc03153a
Google Scholar
[5]
Constantin, C. and Rosenberg, M., 1971. Thermoelectric power of pure and substituted magnetite above and below the verwey transmission. Solid State Communications, 9(10), pp.675-677.
DOI: 10.1016/0038-1098(71)90243-2
Google Scholar
[6]
Assadi, M.H.N., Gutiérrez Moreno, J.J. and Fronzi, M., 2020. High-performance thermoelectric oxides based on spinel structure. ACS Applied Energy Materials, 3(6), pp.5666-5674.
DOI: 10.1021/acsaem.0c00640
Google Scholar
[7]
Kresse, G. and Furthmüller, J., 1996. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set. Computational materials science, 6(1), pp.15-50.
DOI: 10.1016/0927-0256(96)00008-0
Google Scholar
[8]
Kresse, G. and Joubert, D., 1999. From ultrasoft pseudopotentials to the projector augmented-wave method. Physical review b, 59(3), p.1758.
DOI: 10.1103/physrevb.59.1758
Google Scholar
[9]
Perdew, J.P., Burke, K. and Ernzerhof, M., 1996. Generalized gradient approximation made simple. Physical review letters, 77(18), p.3865.
DOI: 10.1103/physrevlett.77.3865
Google Scholar
[10]
Dudarev, S.L., Botton, G.A., Savrasov, S.Y., Humphreys, C.J. and Sutton, A.P., 1998. Electron-energy-loss spectra and the structural stability of nickel oxide: An LSDA+ U study. Physical Review B, 57(3), p.1505.
DOI: 10.1103/physrevb.57.1505
Google Scholar
[11]
Jain, A., Montoya, J., Dwaraknath, S., Zimmermann, N.E., Dagdelen, J., Horton, M., Huck, P., Winston, D., Cholia, S., Ong, S.P. and Persson, K., 2020. The materials project: Accelerating materials design through theory-driven data and tools. Handbook of Materials Modeling: Methods: Theory and Modeling, pp.1751-1784.
DOI: 10.1007/978-3-319-44677-6_60
Google Scholar
[12]
Jain, A., Ong, S.P., Hautier, G., Chen, W., Richards, W.D., Dacek, S., Cholia, S., Gunter, D., Skinner, D., Ceder, G. and Persson, K.A., 2013. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation. APL materials, 1(1).
DOI: 10.1063/1.4812323
Google Scholar
[13]
Suraj, K.S., Tatara, G. and Assadi, M.H.N., 2024. Ab initio investigation of magnetism and stability in Nb doped magnetite. Journal of Magnetism and Magnetic Materials, 601, p.172162.
DOI: 10.1016/j.jmmm.2024.172162
Google Scholar
[14]
Suraj, K.S., Tatara, G., Katayama-Yoshida, H. and Assadi, M.H.N., 2025. Tuning the Curie Temperature of Fe3O4 to Achieve Automated Magnetic Hyperthermia. IEEE Transactions on Magnetics.
DOI: 10.36227/techrxiv.173473229.98936374/v1
Google Scholar
[15]
Madsen, G.K., Carrete, J. and Verstraete, M.J., 2018. BoltzTraP2, a program for interpolating band structures and calculating semi-classical transport coefficients. Computer Physics Communications, 231, pp.140-145.
DOI: 10.1016/j.cpc.2018.05.010
Google Scholar
[16]
Scheidemantel, T.J., Ambrosch-Draxl, C., Thonhauser, T., Badding, J.V. and Sofo, J.O., 2003. Transport coefficients from first-principles calculations. Physical Review B, 68(12), p.125210.
DOI: 10.1103/physrevb.68.125210
Google Scholar