Zeige Ergebnisse 421 - 440 von 931
2022
Mohebpour, M. A., Mortazavi, B., Zhuang, X., & Tagani, M. B. (2022). Optical and thermoelectric properties of non-Janus CuI and AgI, and Janus Cu2BrI and Ag2BrI monolayers by many-body perturbation theory. Physical Review B, 106(12), Artikel 125405. https://doi.org/10.48550/arXiv.2204.10056, https://doi.org/10.1103/PhysRevB.106.125405
Mortazavi, B., Shojaei, F., Shapeev, A. V., & Zhuang, X. (2022). A combined first-principles and machine-learning investigation on the stability, electronic, optical, and mechanical properties of novel C6N7-based nanoporous carbon nitrides. CARBON, 194, 230-239. https://doi.org/10.1016/j.carbon.2022.03.068
Mortazavi, B., Shahrokhi, M., Shojaei, F., Rabczuk, T., Zhuang, X., & Shapeev, A. V. (2022). A first-principles and machine-learning investigation on the electronic, photocatalytic, mechanical and heat conduction properties of nanoporous C5N monolayers. NANOSCALE, 14(11), 4324-4333. https://doi.org/10.1039/d1nr06449e
Mortazavi, B., Zhuang, X., & Rabczuk, T. (2022). A first-principles study on the physical properties of two-dimensional Nb3Cl8, Nb3Br8 and Nb3I8. Applied Physics A: Materials Science and Processing, 128(10), Artikel 934. https://doi.org/10.1007/s00339-022-06011-z
Mortazavi, B., Novikov, I. S., & Shapeev, A. V. (2022). A machine-learning-based investigation on the mechanical/failure response and thermal conductivity of semiconducting BC2N monolayers. CARBON, 188, 431-441. https://doi.org/10.1016/j.carbon.2021.12.039
Mortazavi, B., Shojaei, F., Yagmurcukardes, M., Shapeev, A. V., & Zhuang, X. (2022). Anisotropic and outstanding mechanical, thermal conduction, optical, and piezoelectric responses in a novel semiconducting BCN monolayer confirmed by first-principles and machine learning. CARBON, 200, 500-509. https://doi.org/10.1016/j.carbon.2022.08.077
Mortazavi, B., & Shapeev, A. V. (2022). Anisotropic mechanical response, high negative thermal expansion, and outstanding dynamical stability of biphenylene monolayer revealed by machine-learning interatomic potentials. FlatChem, 32, Artikel 100347. https://doi.org/10.1016/j.flatc.2022.100347
Mortazavi, B., Shojaei, F., Yagmurcukardes, M., Makaremi, M., & Zhuang, X. (2022). A Theoretical Investigation on the Physical Properties of Zirconium Trichalcogenides, ZrS3, ZrSe3 and ZrTe3 Monolayers. ENERGIES, 15(15), Artikel 5479. https://doi.org/10.3390/en15155479
Mortazavi, B., Shojaei, F., & Neek-Amal, M. (2022). Comment on "a novel two-dimensional boron-carbon-nitride (BCN) monolayer: A first-principles insight" [J. Appl. Phys. 130, 114301 (2021)]. Journal of applied physics, 131(21), Artikel 216101. https://doi.org/10.48550/arXiv.2203.16496, https://doi.org/10.1063/5.0078754
Mortazavi, B., Shojaei, F., & Shahrokhi, M. (2022). Comment on “Erratum: ‘Two-dimensional porous graphitic carbon nitride C6N7 monolayer: First-principles calculations’ [Appl. Phys. Lett. 119, 142102 (2021)]”: [Appl. Phys. Lett. 120, 189901 (2022)]. Applied physics letters, 121(5), Artikel 056101. https://doi.org/10.1063/5.0098022
Mortazavi, B., & Chowdhury, S. (2022). Comment on 'MoSi2N4single-layer: A novel two-dimensional material with outstanding mechanical, thermal, electronic and optical properties'. Journal of Physics D: Applied Physics, 55(6), Artikel 068001. https://doi.org/10.1088/1361-6463/ac316f
Mortazavi, B., & Neek-Amal, M. (2022). Comment on 'Two-dimensional carbon nitride C6N nanosheet with egg-comb-like structure and electronic properties of a semimetal [2021, Nanotechnology 32,215702]'. NANOTECHNOLOGY, 33(27), Artikel 278001. https://doi.org/10.1088/1361-6528/ac62b0
Mortazavi, B., Shojaei, F., Shahrokhi, M., Rabczuk, T., Shapeev, A. V., & Zhuang, X. (2022). Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning. Batteries, 8(10), Artikel 194. https://doi.org/10.3390/batteries8100194
Mortazavi, B., Rajabpour, A., Zhuang, XY., Rabczuk, T., & Shapeev, AV. (2022). Exploring thermal expansion of carbon-based nanosheets by machine-learning interatomic potentials. CARBON, 186, 501-508. https://doi.org/10.1016/j.carbon.2021.10.059
Mortazavi, B., Shahrokhi, M., Javvaji, B., Shapeev, A. V., & Zhuang, X. (2022). Highly anisotropic mechanical and optical properties of 2D NbOX2 (X= Cl, Br, I) revealed by first-principle. NANOTECHNOLOGY, 33(27), Artikel 275701. https://doi.org/10.1088/1361-6528/ac622f
Mortazavi, B., & Zhuang, X. (2022). Low and Anisotropic Tensile Strength and Thermal Conductivity in the Single-Layer Fullerene Network Predicted by Machine-Learning Interatomic Potentials. COATINGS, 12(8), Artikel 1171. https://doi.org/10.3390/coatings12081171
Mortazavi, B., Shahrokhi, M., Zhuang, XY., Rabczuk, T., & Shapeev, AV. (2022). Mechanical, thermal transport, electronic and photocatalytic properties of penta-PdPS, -PdPSe and -PdPTe monolayers explored by first-principles calculations. Journal of Materials Chemistry C, 10(1), 329-336. https://doi.org/10.1039/d1tc05297g
Mortazavi, B., Zhuang, X., Rabczuk, T., & Shapeev, A. V. (2022). Outstanding thermal conductivity and mechanical properties in the direct gap semiconducting penta-NiN2 monolayer confirmed by first-principles. Physica E: Low-Dimensional Systems and Nanostructures, 140, Artikel 115221. https://doi.org/10.1016/j.physe.2022.115221
Mortazavi, B., & Zhuang, X. (2022). Ultrahigh strength and negative thermal expansion and low thermal conductivity in graphyne nanosheets confirmed by machine-learning interatomic potentials. FlatChem, 36, Artikel 100446. https://doi.org/10.1016/j.flatc.2022.100446
Mosel, P., Sankar, P., Zulqarnain, Appi, E., Jusko, C., Zuber, D., Kleinert, S., Düsing, J., Mapa, J., Dittmar, G., Püster, T., Böhmer-Brinks, P., Vahlbruch, J. W., Morgner, U., & Kovacev, M. (2022). Potential hazards and mitigation of X-ray radiation generated by laser-induced plasma from research-grade laser systems. Optics express, 30(20), 37038-37050. https://doi.org/10.1364/OE.468135
