REVIEW 3 major objections 5 minor 82 references
Prediction of C7N6 and C9N4: Stable and strong porous carbon-nitride nanosheets with attractive electronic and optical properties
T0 review · 3 major / 5 minor · reviewed 2026-08-14 · deepseek-v4-flash
Pith's one-line read C7N6 and C9N4 are predicted to be stable, strong carbon-nitride nanosheets.
desk verdict Two plausible porous C-N monolayers, locally stable by phonon/AIMD, with the authors openly conceding they are not proven ground states; solid screening work, slightly oversold in the conclusion, and one citation is botched. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The load-bearing construction is a repeating motif of three pentagon cores joined by single nitrogen atoms, forming porous hexagonal sheets with alternating 12-membered and 9-membered rings. The short C-N bridge bonds, about 1.29 angstroms, carry much of the lattice rigidity, and electron localization function maps confirm the covalent bonding that explains the high elastic moduli; failure analysis identifies the edge bonds of the pentagon cores as the first to rupture. Computationally, the argument rests on phonon dispersions from density-functional perturbation theory, showing no imaginary frequencies, 20-picosecond ab initio molecular dynamics trajectories for thermal stability, the screened hybrid functional HSE06 for the band gap, and random-phase-approximation optical spectra with intraband contributions added for the metallic cases.
What would settle it
Run a crystal-structure search at the C7N6 and C9N4 stoichiometries; if any sampled phase has lower energy per atom than the reported values of -8.418 and -8.464 eV, the predicted properties belong to a metastable arrangement rather than the ground state. Experimentally, synthesizing the sheets and measuring the optical gap would directly test the predicted 2.25 eV direct-gap character of C7N6.
Extended reading notes
Core claim
The central claim is that two previously unstudied stoichiometries of porous carbon-nitride monolayers are viable two-dimensional materials: C7N6 is a direct-band-gap semiconductor with a 2.25 eV gap at the HSE06 level, and C9N4 is a metal, even though most carbon-nitride nanosheets are semiconductors. Both are dynamically stable, C7N6 remains intact in ab initio molecular dynamics at 1000 K and C9N4 at 500 K, and both combine elastic moduli of 212 and 202 N/m with maximum tensile strengths of 14.1 and 22.4 N/m, respectively. The structures are hexagonal lattices made of three pentagon cores connected by single nitrogen atoms, producing pores bounded by 12-membered and 9-membered rings. C7N6's first absorption peak lies in the visible range and C9N4's in the infrared, and in the 370-500 nm window both show larger absorption coefficients and optical conductivities than graphene. The paper explicitly notes that these observations do not confirm the predicted lattices are the global minimum structures.
Load-bearing premise
The load-bearing premise is that the hand-built pentagon-core lattices are the right structural candidates for these stoichiometries; the paper itself says the calculations cannot confirm these are the global minimum structures, so a more stable phase could replace them and change every predicted property.
Editorial extensions
If this is right
- C7N6 offers a direct band gap of 2.25 eV, placing it in the visible-light range and making it a candidate for optoelectronic and photovoltaic components.
- C9N4 provides a porous metallic carbon-nitride membrane, a combination that could be useful as a conductive catalyst support or electrode material.
- Both sheets show larger absorption coefficients and optical conductivities than graphene across the violet-to-green part of the visible spectrum, which is directly relevant to light-harvesting devices.
- With elastic moduli around 202-212 N/m and tensile strengths up to 22.4 N/m, the predicted sheets rank among the strongest known porous carbon-nitride monolayers, suitable for flexible and load-bearing nanodevices.
- The near coincidence of the C7N6 and C9N4 lattice constants, differing by about one percent, makes lateral or planar heterostructures between a semiconductor and a metal geometrically feasible.
Reading between the lines
- Because the paper's lattices are hand-constructed rather than found by global search, a more stable phase at the same stoichiometry could supersede the reported properties; an evolutionary or random crystal-structure search is the direct test.
- The metallic, porous C9N4 lattice is a natural candidate for alkali-ion storage or electrocatalysis, but the paper does not evaluate electrochemistry; computing ion adsorption energies would be a concrete extension.
- The optical spectra are computed at the random-phase-approximation level without excitonic corrections, so a GW-BSE treatment could shift absorption edges and would determine whether the visible-light advantage over graphene survives many-body effects.
- If the metal-semiconductor contrast between C9N4 and C7N6 can be realized in a single junction, the interface may exhibit built-in charge separation; the paper only hints at this possibility without exploring transport.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript predicts three porous carbon-nitride monolayer structures, C7N6, C9N4, and C10N3, built from pentagon cores bridged by N atoms. Using DFT (PBE and HSE06), DFPT phonon calculations, 20 ps AIMD simulations, and RPA optical calculations, the authors report that C7N6 and C9N4 are dynamically and thermally stable, while C10N3 is thermally unstable. They compute elastic moduli in the range 202–212 N/m, tensile strengths up to 22.4 N/m, a direct HSE06 band gap of 2.25 eV for C7N6, metallic character for C9N4 and C10N3, and optical absorption peaks in the visible for C7N6 and infrared for the metallic sheets. The paper concludes that C7N6 and C9N4 are synthesizable candidates with attractive electronic and optical properties and provides the optimized structures in POSCAR format in the supplementary information.
Significance. The paper proposes new carbon-nitride nanosheet stoichiometries and characterizes them with standard first-principles methods. If the structures are the relevant phases, the results are of interest because they identify a direct-gap semiconductor (C7N6 with a HSE06 gap of 2.25 eV) alongside metallic carbon nitrides, which are uncommon, and the mechanical properties are competitive with known porous carbon nitrides. The inclusion of the optimized coordinates in the supplementary information is a concrete asset that enables independent verification. The electronic-structure and mechanical results are internally consistent and are not fitted to any target property, so circularity is not a concern. The main weaknesses are that the stability evidence is local only and that the optical claims rest on RPA without excitonic corrections.
major comments (3)
- [§3 (Stability discussion) and §4 (Summary)] The conclusion that C7N6 and C9N4 are 'synthesizable' is not supported by the evidence presented. The paper demonstrates only local stability through phonon dispersions and short AIMD trajectories, and it explicitly concedes in §3 that 'these observations cannot confirm that the predicted lattices are the global minimum structures.' No formation energies relative to competing phases (e.g., graphene, g-C3N4, C2N, C3N, and N2) and no energy-above-hull analysis are reported; the per-atom energies of -8.418, -8.464, and -8.436 eV are quoted without any reference values. To support the title's claim of 'Prediction' and the Summary's 'synthesizable', the authors should add thermodynamic stability data or restrict the claim to locally stable, metastable candidates.
- [§3 (Optical properties, Figs. 5–7)] The optical absorption and conductivity results are obtained with RPA using PBE eigenvalues, without excitonic (BSE) or self-energy (GW) corrections. For C7N6, a semiconductor with a 2.25 eV HSE06 gap, excitonic effects are expected to shift the absorption edge and modify peak intensities, which directly affects the claim that its absorption coefficient and optical conductivity exceed those of graphene in the visible range. The authors should either perform BSE calculations for C7N6 or moderate the comparative claims to reflect the RPA level of theory.
- [§2 (AIMD) and §3 (Thermal stability)] The thermal-stability distinction between C9N4 (stable at 500 K) and C10N3 (unstable) rests on single 20 ps AIMD trajectories on 2×2×1 supercells. While such short runs are common in the literature, the paper uses this evidence to declare C10N3 outside the set of 'synthesizable' materials. The authors should either extend the AIMD simulations or explicitly acknowledge the sensitivity of the stability assignment to the short simulation time and small cell size.
minor comments (5)
- [§2 (Methods, after Eq. (4))] In the sentence describing the metallic systems, 'C10N13' should be 'C10N3'.
- [§3 (Structural analysis)] The sentence about the C-C bond length in the 12-membered rings compares it to 'the corresponding C-N bond in the C7N6, 1.464 Å'; this is unclear because C7N6 is not described as having 12-membered rings, and the comparison should be spelled out explicitly.
- [§3 (Fig. 7 inset)] The caption of Fig. 7 says 'comparison of optical absorption spectra' in the inset, but the plotted quantity is the real part of the optical conductivity, Re σαβ; please harmonize the terminology.
- [References (Ref. [48])] Reference [48] is a cross-sectional study of sexual desire in married women and is unrelated to the topic of two-dimensional materials; this appears to be a citation error and should be replaced or removed.
- [Eq. (1)] Equation (1) is garbled in the typeset text, with the integrand and summation symbols not legible; it should be re-typeset correctly.
Circularity Check
No circularity found: all predicted properties are outputs of first-principles calculations, and the acknowledged lack of a global structure search is a limitation, not a circular input.
full rationale
The paper is a self-contained first-principles study. The three nanosheet structures are manually constructed, and the reported stability indicators, lattice parameters, mechanical moduli, band structures, band gaps, and optical spectra are all computed outputs from DFT/DFPT, AIMD, and RPA calculations using VASP, PHONOPY, and Wien2k. Nothing is fitted to the target results: the 2.25 eV HSE06 gap of C7N6 and the metallic character of C9N4 and C10N3 emerge from the band-structure calculations, and the elastic moduli and tensile strengths are read off stress-strain curves. The prior results cited from the authors and others, such as graphene optical spectra, C3N, C2N, and graphitic carbon-nitride mechanical data, are used only as external benchmarks for comparison; they are not premises from which the computed quantities are derived. The paper explicitly states that 'these observations cannot confirm that the predicted lattices are the global minimum structures' and calls for crystal structure prediction methods, which is an honest scope limitation rather than a circular step. No self-definition, fitted-input-renamed-as-prediction, or load-bearing self-citation chain is present. Accordingly, the derivation chain is not circular.
Assumptions & free parameters
assumptions (4)
- domain assumption PBE, HSE06, and LDA exchange-correlation functionals provide adequate approximations to the electronic structure of these carbon-nitride systems.
- ad hoc to paper The hand-constructed lattice topologies are the relevant structural candidates for each stoichiometry.
- domain assumption AIMD for 20 ps on 2x2x1 supercells at selected temperatures is sufficient to infer thermal stability.
- domain assumption RPA without excitonic effects is adequate for the optical absorption claims.
Cite this review
Pith. "Pith review of Prediction of C7N6 and C9N4: Stable and strong porous carbon-nitride nanosheets with attractive electronic and optical properties." pith.science (2026). https://pith.science/paper/XU57BZHU
@misc{pith2026190803103,
author = {Pith},
title = {Pith review of: Prediction of C7N6 and C9N4: Stable and strong porous carbon-nitride nanosheets with attractive electronic and optical properties},
year = {2026},
howpublished = {\url{https://pith.science/paper/XU57BZHU}},
note = {Machine review of arXiv:1908.03103}
}
read the original abstract
In this work, three novel porous carbon-nitride nanosheets with C7N6, C9N4 and C10N3 stoichiometries are predicted. First-principles simulations were accordingly employed to evaluate stability and explore the mechanical, electronic and optical properties. Phonon dispersions confirm the dynamical stability of all predicted nanosheets. Nonetheless, ab-initio molecular dynamics results indicate that only C7N6 and C9N4 are thermally stable. C7N6, C9N4 and C10N3 nanosheets were predicted to exhibit high elastic modulus of 212, 202 and 208 N/m and maximum tensile strengths of 14.1, 22.4 and 15.8 N/m, respectively. C7N6 monolayer was confirmed to be a direct band-gap semiconductor, with a 2.25 eV gap according to the HSE06 method estimation. Interestingly, C9N4 and C10N3 monolayers show metallic character. The first absorption peaks of optical spectra reveal that C7N6 nanosheet can absorb the visible light, whereas C9N4 and C10N3 monolayers can absorb the Infrared range of light. Moreover, the absorption coefficient and optical conductivity of predicted nanosheets in the visible range of light are larger than those of the graphene. The results provided by this study confirm the stability and highlight very promising properties of C7N6 and C9N4 nanosheets, which may serve as promising candidates for numerous advanced technologies.
Reference graph
Works this paper leans on
-
[48]
M. Tabatabaeichehr, H. Mortazavi, M.H. Abadi, L. Moayed, Sexual Desire and Related Factors in Middle-Aged and Elderly Married Women: A Cross-Sectional Study in Iran, Open Access Maced. J. Med. Sci. 6 (2018). doi:10.3889/oamjms.2018.383
-
[1]
K.S. Novoselov, A.K. Geim, S. V Morozov, D. Jiang, Y. Zhang, S. V Dubonos, I. V Grigorieva, A.A. Firsov, Electric field effect in atomically thin carbon films., Science. 306 (2004) 666–9. doi:10.1126/science.1102896
-
[2]
A.K. Geim, K.S. Novoselov, The rise of graphene, Nat. Mater. 6 (2007) 183–191. doi:10.1038/nmat1849
doi:10.1038/nmat1849 2007
-
[3]
C. Lee, X. Wei, J.W. Kysar, J. Hone, Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene, Science (80-. ). 321 (2008) 385–388. doi:10.1126/science.1157996
-
[4]
A.A. Balandin, S. Ghosh, W. Bao, I. Calizo, D. Teweldebrhan, F. Miao, C.N. Lau, Superior thermal conductivity of single-layer graphene, Nano Lett. 8 (2008) 902–907. doi:10.1021/nl0731872
-
[5]
M. Yankowitz, S. Chen, H. Polshyn, Y. Zhang, K. Watanabe, T. Taniguchi, D. Graf, A.F. Young, C.R. Dean, Tuning superconductivity in twisted bilayer graphene, Science (80-. ). (2019). doi:10.1126/science.aav1910
-
[6]
D.A. Bandurin, A. V. Tyurnina, G.L. Yu, A. Mishchenko, V. Zólyomi, S. V. Morozov, R.K. Kumar, R. V. Gorbachev, Z.R. Kudrynskyi, S. Pezzini, Z.D. Kovalyuk, U. Zeitler, K.S. Novoselov, A. Patanè, L. Eaves, I. V. Grigorieva, V.I. Fal’ko, A.K. Geim, Y. Cao, High electron mobility, quantum Hall effect and anomalous optical response in atomically thin InSe, Nat...
-
[7]
A.H.. Castro Neto, N.M.R.. Peres, K.S.. Novoselov, A.K.. Geim, F. Guinea, The electronic properties of graphene, Rev. Mod. Phys. 81 (2009) 109–162. doi:10.1103/RevModPhys.81.109
Show all 82 references
-
[8]
M. Liu, X. Yin, E. Ulin-Avila, B. Geng, T. Zentgraf, L. Ju, F. Wang, X. Zhang, A graphene-based broadband optical modulator, Nature. 474 (2011) 64–67. doi:10.1038/nature10067
2011 doi
-
[9]
Withers, M
F. Withers, M. Dubois, A.K. Savchenko, Electron properties of fluorinated single-layer graphene transistors, Phys. Rev. B - Condens. Matter Mater. Phys. 82 (2010). doi:10.1103/PhysRevB.82.073403
2010 doi
-
[10]
Martins, R.H
T.B. Martins, R.H. Miwa, A.J.R. Da Silva, A. Fazzio, Electronic and transport 16 properties of boron-doped graphene nanoribbons, Phys. Rev. Lett. (2007). doi:10.1103/PhysRevLett.98.196803
2007 doi
-
[11]
H. Wang, T. Maiyalagan, X. Wang, Review on recent progress in nitrogen-doped graphene: Synthesis, characterization, and its potential applications, ACS Catal. (2012). doi:10.1021/cs200652y
2012 doi
-
[12]
Panchakarla, K.S
L.S. Panchakarla, K.S. Subrahmanyam, S.K. Saha, A. Govindaraj, H.R. Krishnamurthy, U. V. Waghmare, C.N.R. Rao, Synthesis, structure, and properties of boron- and nitrogen-doped graphene, Adv. Mater. 21 (2009) 4726–4730. doi:10.1002/adma.200901285
2009 doi
-
[13]
Pereira, A.H
V.M. Pereira, A.H. Castro Neto, Strain Engineering of Graphene’s Electronic Structure, Phys. Rev. Lett. 103 (2009). doi:10.1103/PhysRevLett.103.046801
2009 doi
-
[14]
Guinea, M.I
F. Guinea, M.I. Katsnelson, A.K. Geim, Energy gaps and a zero-field quantum Hall effect in graphene by strain engineering, Nat. Phys. 6 (2010) 30–33. doi:10.1038/nphys1420
2010 doi
-
[15]
J. Bai, X. Zhong, S. Jiang, Y. Huang, X. Duan, Graphene nanomesh, Nat. Nanotechnol. (2010). doi:10.1038/nnano.2010.8
2010 doi
-
[16]
Pedersen, C
T.G. Pedersen, C. Flindt, J. Pedersen, N.A. Mortensen, A.P. Jauho, K. Pedersen, Graphene antidot lattices: Designed defects and spin qubits, Phys. Rev. Lett. 100 (2008) 136804. doi:10.1103/PhysRevLett.100.136804
2008 doi
-
[17]
Eroms, D
J. Eroms, D. Weiss, Weak localization and transport gap in graphene antidot lattices, New J. Phys. 11 (2009) 095021. doi:10.1088/1367-2630/11/9/095021
2009 doi
-
[18]
Thomas, A
A. Thomas, A. Fischer, F. Goettmann, M. Antonietti, J.-O. Müller, R. Schlögl, J.M. Carlsson, Graphitic carbon nitride materials: variation of structure and morphology and their use as metal-free catalysts, J. Mater. Chem. 18 (2008) 4893. doi:10.1039/b800274f
2008 doi
-
[19]
Rajabpour, S
A. Rajabpour, S. Bazrafshan, S. Volz, Carbon-nitride 2D nanostructures: Thermal conductivity and interfacial thermal conductance with the silica substrate, Phys. Chem. Chem. Phys. 21 (2019) 2507–2512. doi:10.1039/C8CP06992A
2019 doi
-
[20]
Zheng, Y
Y. Zheng, Y. Jiao, J. Chen, J. Liu, J. Liang, A. Du, W. Zhang, Z. Zhu, S.C. Smith, M. Jaroniec, G.Q. (Max) Lu, S.Z. Qiao, Nanoporous Graphitic-C 3 N 4 @Carbon Metal- Free Electrocatalysts for Highly Efficient Oxygen Reduction, J. Am. Chem. Soc. 133 (2011) 20116–20119. doi:10.1...
2011 doi
-
[21]
S.M. Lyth, Y. Nabae, N.M. Islam, S. Kuroki, M. Kakimoto, S. Miyata, Electrochemical Oxygen Reduction Activity of Carbon Nitride Supported on Carbon 17 Black, J. Electrochem. Soc. 158 (2011) B194–B201. doi:10.1149/1.3519365
2011 doi
-
[22]
S.M. Lyth, Y. Nabae, S. Moriya, S. Kuroki, M.A. Kakimoto, J.I. Ozaki, S. Miyata, Carbon nitride as a nonprecious catalyst for electrochemical oxygen reduction, J. Phys. Chem. C. 113 (2009) 20148–20151. doi:10.1021/jp907928j
2009 doi
-
[23]
Makaremi, S
M. Makaremi, S. Grixti, K.T. Butler, G.A. Ozin, C.V. Singh, Band Engineering of Carbon Nitride Monolayers by N-Type, P-Type, and Isoelectronic Doping for Photocatalytic Applications, ACS Appl. Mater. Interfaces. 10 (2018) 11143–11151. doi:10.1021/acsami.8b01729
2018 doi
-
[24]
Algara-Siller, N
G. Algara-Siller, N. Severin, S.Y. Chong, T. Björkman, R.G. Palgrave, A. Laybourn, M. Antonietti, Y.Z. Khimyak, A. V. Krasheninnikov, J.P. Rabe, U. Kaiser, A.I. Cooper, A. Thomas, M.J. Bojdys, Triazine-based graphitic carbon nitride: A two- dimensional semiconductor, Angew. Ch...
2014 doi
-
[25]
Mahmood, E.K
J. Mahmood, E.K. Lee, M. Jung, D. Shin, I.-Y. Jeon, S.-M. Jung, H.-J. Choi, J.-M. Seo, S.-Y. Bae, S.-D. Sohn, N. Park, J.H. Oh, H.-J. Shin, J.-B. Baek, Nitrogenated holey two-dimensional structures, Nat. Commun. 6 (2015) 6486. doi:10.1038/ncomms7486
2015 doi
-
[26]
Mahmood, E.K
J. Mahmood, E.K. Lee, M. Jung, D. Shin, H.-J. Choi, J.-M. Seo, S.-M. Jung, D. Kim, F. Li, M.S. Lah, N. Park, H.-J. Shin, J.H. Oh, J.-B. Baek, Two-dimensional polyaniline (C3N) from carbonized organic single crystals in solid state, Proc. Natl. Acad. Sci. . 113 (2016) 7414–7419...
2016 doi
-
[27]
Y. Dong, M. Meng, M.M. Groves, C. Zhang, J. Lin, Thermal conductivities of two- dimensional graphitic carbon nitrides by molecule dynamics simulation, Int. J. Heat Mass Transf. 123 (2018) 738–746. doi:https://doi.org/10.1016/j.ijheatmasstransfer.2018.03.017
2018 doi
-
[28]
Y. Gao, H. Wang, M. Sun, Y. Ding, L. Zhang, Q. Li, First-principles study of intrinsic phononic thermal transport in monolayer C3N, Phys. E Low-Dimensional Syst. Nanostructures. 99 (2018) 194–201. doi:10.1016/J.PHYSE.2018.02.012
2018 doi
-
[29]
Shirazi, R
A.H.N. Shirazi, R. Abadi, M. Izadifar, N. Alajlan, T. Rabczuk, Mechanical responses of pristine and defective C3N nanosheets studied by molecular dynamics simulations, Comput. Mater. Sci. 147 (2018) 316–321. doi:10.1016/j.commatsci.2018.01.058
2018 doi
-
[30]
Sadeghzadeh, Effects of vacancies and divacancies on the failure of C3N nanosheets, Diam
S. Sadeghzadeh, Effects of vacancies and divacancies on the failure of C3N nanosheets, Diam. Relat. Mater. 89 (2018) 257–265. doi:10.1016/J.DIAMOND.2018.09.018. 18
2018 doi
-
[31]
Shi, Y.-Y
L.-B. Shi, Y.-Y. Zhang, X.-M. Xiu, H.-K. Dong, Structural characteristics and strain behaviors of two-dimensional C3N : First principles calculations, Carbon N. Y. 134 (2018) 103–111. doi:https://doi.org/10.1016/j.carbon.2018.03.076
2018 doi
-
[32]
Y. Hong, J. Zhang, X.C. Zeng, Monolayer and bilayer polyaniline C3N: two- dimensional semiconductors with high thermal conductivity, Nanoscale. 10 (2018) 4301–4310. doi:10.1039/C7NR08458G
2018 doi
-
[33]
J. Zhao, H. Zeng, X. Zhou, X3N (X=C and Si) monolayers and their van der Waals Heterostructures with graphene and h-BN: Emerging tunable electronic structures by strain engineering, Carbon N. Y. 145 (2019) 1–9. doi:https://doi.org/10.1016/j.carbon.2018.12.109
2019 doi
-
[34]
Zhang, H
T. Zhang, H. Zeng, D. Ding, R.S. Chen, A Numerical Simulation of C3N Nanoribbon- Based Field-Effect Transistors, IEEE Trans. Electron Devices. 66 (2019) 1087–1091. doi:10.1109/TED.2018.2883298
2019
-
[35]
Y. Ren, F. Cheng, X. Zhou, K. Chang, G. Zhou, Tunable mechanical, electronic and magnetic properties of monolayer C3N nanoribbons by external fields, Carbon N. Y. (2019). doi:10.1016/j.carbon.2018.10.018
2019 doi
-
[36]
Tagani, Electrical and mechanical properties of a fully hydrogenated two- dimensional polyaniline sheet, Comput
M.B. Tagani, Electrical and mechanical properties of a fully hydrogenated two- dimensional polyaniline sheet, Comput. Mater. Sci. 153 (2018) 126–133. doi:https://doi.org/10.1016/j.commatsci.2018.06.027
2018 doi
-
[37]
Tagani, S.I
M.B. Tagani, S.I. Vishkayi, Polyaniline (C3N) nanoribbons: Magnetic metal, semiconductor, and half-metal, J. Appl. Phys. 124 (2018) 84304. doi:10.1063/1.5042207
2018 doi
-
[38]
Bafekry, S
A. Bafekry, S. Farjami Shayesteh, F.M. Peeters, C3N Monolayer: Exploring the Emerging of Novel Electronic and Magnetic Properties with Adatom Adsorption, Functionalizations, Electric Field, Charging, and Strain, J. Phys. Chem. C. 123 (2019) 12485–12499. doi:10.1021/acs.jpcc.9b02047
2019 doi
-
[39]
Bafekry, M
A. Bafekry, M. Ghergherehchi, S. Farjami Shayesteh, F.M. Peeters, Adsorption of molecules on C3N nanosheet: A first-principles calculations, Chem. Phys. 526 (2019) 110442. doi:https://doi.org/10.1016/j.chemphys.2019.110442
2019
-
[40]
Esrafili, S
M.D. Esrafili, S. Heydari, B-doped C3N monolayer: a robust catalyst for oxidation of carbon monoxide, Theor. Chem. Acc. 138 (2019) 57. doi:10.1007/s00214-019-2444-z
2019 doi
-
[41]
B. He, J. Shen, D. Ma, Z. Lu, Z. Yang, Boron-Doped C3N Monolayer as a Promising Metal-Free Oxygen Reduction Reaction Catalyst: A Theoretical Insight, J. Phys. Chem. C. 122 (2018) 20312–20322. doi:10.1021/acs.jpcc.8b05171. 19
2018 doi
-
[42]
X. Wang, J. Chen, Phonon-mediated superconductivity in charge doped and Li- deposited two dimensional C3N, Phys. C Supercond. Its Appl. 558 (2019) 12–16. doi:https://doi.org/10.1016/j.physc.2019.01.004
2019 doi
-
[43]
Y. Wang, Z. Jiao, S. Ma, Y. Guo, Probing C3N/Graphene heterostructures as anode materials for Li-ion batteries, J. Power Sources. 413 (2019) 117–124. doi:https://doi.org/10.1016/j.jpowsour.2018.12.031
2019 doi
-
[44]
O. Faye, T. Hussain, A. Karton, J. Szpunar, Tailoring the capability of carbon nitride (C3N) nanosheets toward hydrogen storage upon light transition metal decoration, Nanotechnology. 30 (2018) 75404. doi:10.1088/1361-6528/aaf3ed
2018 doi
-
[45]
Oganov, C.W
A.R. Oganov, C.W. Glass, Crystal structure prediction using ab initio evolutionary techniques: principles and applications., J. Chem. Phys. 124 (2006) 244704. doi:10.1063/1.2210932
2006 doi
-
[46]
Glass, A.R
C.W. Glass, A.R. Oganov, N. Hansen, USPEX-Evolutionary crystal structure prediction, Comput. Phys. Commun. 175 (2006) 713–720. doi:10.1016/j.cpc.2006.07.020
2006 doi
-
[47]
L.-B. Shi, S. Cao, M. Yang, Strain behavior and Carrier mobility for novel two- dimensional semiconductor of GeP: First principles calculations, Phys. E Low- Dimensional Syst. Nanostructures. 107 (2019) 124–130. doi:10.1016/J.PHYSE.2018.11.024
2019 doi
-
[49]
Kresse, J
G. Kresse, J. Furthmüller, Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set, Comput. Mater. Sci. 6 (1996) 15–50. doi:10.1016/0927-0256(96)00008-0
1996 doi
-
[50]
Kresse, J
G. Kresse, J. Furthmüller, Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set, Phys. Rev. B. 54 (1996) 11169–11186. doi:10.1103/PhysRevB.54.11169
1996 doi
-
[51]
Kresse, From ultrasoft pseudopotentials to the projector augmented-wave method, Phys
G. Kresse, From ultrasoft pseudopotentials to the projector augmented-wave method, Phys. Rev. B. 59 (1999) 1758–1775. doi:10.1103/PhysRevB.59.1758
1999 doi
-
[52]
Perdew, K
J. Perdew, K. Burke, M. Ernzerhof, Generalized Gradient Approximation Made Simple., Phys. Rev. Lett. 77 (1996) 3865–3868. doi:10.1103/PhysRevLett.77.3865
1996 doi
-
[53]
Monkhorst, J
H. Monkhorst, J. Pack, Special points for Brillouin zone integrations, Phys. Rev. B. 13 20 (1976) 5188–5192. doi:10.1103/PhysRevB.13.5188
1976 doi
-
[54]
Blöchl, O
P.E. Blöchl, O. Jepsen, O.K. Andersen, Improved tetrahedron method for Brillouin- zone integrations, Phys. Rev. B. 49 (1994) 16223–16233. doi:10.1103/PhysRevB.49.16223
1994 doi
-
[55]
and O.A.V
A.V.K. and O.A.V. and A.F.I. and G.E. Scuseria, Influence of the exchange screening parameter on the performance of screened hybrid functionals, J. Chem. Phys. 125 (2006) 224106. doi:10.1063/1.2404663
2006 doi
-
[56]
A. Togo, I. Tanaka, First principles phonon calculations in materials science, Scr. Mater. 108 (2015) 1–5. doi:10.1016/j.scriptamat.2015.07.021
2015 doi
-
[57]
Schwarz, P
K. Schwarz, P. Blaha, Solid state calculations using WIEN2k, in: Comput. Mater. Sci., 2003: pp. 259–273. doi:10.1016/S0927-0256(03)00112-5
2003 doi
-
[58]
Wooten, Optical properties of solids, Academic press, 2013
F. Wooten, Optical properties of solids, Academic press, 2013
2013
-
[59]
Mortazavi, M
B. Mortazavi, M. Shahrokhi, M. Makaremi, T. Rabczuk, Anisotropic mechanical and optical response and negative Poisson’s ratio in Mo 2 C nanomembranes revealed by first-principles simulations, Nanotechnology. 28 (2017) 115705. doi:10.1088/1361- 6528/aa5c29
2017 doi
-
[60]
Silvi, A
B. Silvi, A. Savin, Classification of Chemical-Bonds Based on Topological Analysis of Electron Localization Functions, Nature. 371 (1994) 683–686. doi:10.1038/371683a0
1994 doi
-
[61]
W. Li, J. Carrete, N.A. Katcho, N. Mingo, ShengBTE: A solver of the Boltzmann transport equation for phonons, Comput. Phys. Commun. 185 (2014) 1747–1758. doi:10.1016/j.cpc.2014.02.015
2014 doi
-
[62]
Bazrafshan, A
S. Bazrafshan, A. Rajabpour, Engineering of thermal transport in graphene using grain size, strain, nitrogen and boron doping; a multiscale modeling, Int. J. Heat Mass Transf. 123 (2018) 534–543. doi:https://doi.org/10.1016/j.ijheatmasstransfer.2018.02.107
2018 doi
-
[63]
Bazrafshan, A
S. Bazrafshan, A. Rajabpour, Thermal transport engineering in amorphous graphene: Non-equilibrium molecular dynamics study, Int. J. Heat Mass Transf. 112 (2017) 379–
2017
-
[64]
Ghasemi, A
H. Ghasemi, A. Rajabpour, A.H. Akbarzadeh, Tuning thermal conductivity of porous graphene by pore topology engineering: Comparison of non-equilibrium molecular dynamics and finite element study, Int. J. Heat Mass Transf. 123 (2018) 261–271. doi:10.1016/j.ijheatmasstransfer.2018.02.094
2018 doi
-
[65]
Salavati, T
M. Salavati, T. Rabczuk, First-principles investigation of N-triphenylene-graphdiyne 21 nanosheets as an anode material for Na, K, Mg and Ca storage, Comput. Mater. Sci. 169 (2019) 109093. doi:https://doi.org/10.1016/j.commatsci.2019.109093
2019
-
[66]
Salavati, N
M. Salavati, N. Alajlan, T. Rabczuk, Super-stretchability in two-dimensional RuCl3 and RuBr3 confirmed by first-principles simulations, Phys. E Low-Dimensional Syst. Nanostructures. 113 (2019) 79–85. doi:https://doi.org/10.1016/j.physe.2019.05.011
2019 doi
-
[67]
Salavati, T
M. Salavati, T. Rabczuk, Application of highly stretchable and conductive two- dimensional 1T VS2 and VSe2 as anode materials for Li-, Na- and Ca-ion storage, Comput. Mater. Sci. 160 (2019) 360–367. doi:https://doi.org/10.1016/j.commatsci.2019.01.018
2019 doi
-
[68]
F. Liu, P. Ming, J. Li, Ab initio calculation of ideal strength and phonon instability of graphene under tension, Phys. Rev. B - Condens. Matter Mater. Phys. 76 (2007). doi:10.1103/PhysRevB.76.064120
2007 doi
-
[69]
Mortazavi, Ultra high stiffness and thermal conductivity of graphene like C3N, Carbon N
B. Mortazavi, Ultra high stiffness and thermal conductivity of graphene like C3N, Carbon N. Y. 118 (2017) 25–34. doi:10.1016/j.carbon.2017.03.029
2017 doi
-
[70]
Rahaman, B
O. Rahaman, B. Mortazavi, A. Dianat, G. Cuniberti, T. Rabczuk, A structural insight into mechanical strength of graphene-like carbon and carbon nitride networks., Nanotechnology. 28 (2017) 055707. doi:10.1088/1361-6528/28/5/055707
2017 doi
-
[71]
Mortazavi, O
B. Mortazavi, O. Rahaman, M. Makaremi, A. Dianat, G. Cuniberti, T. Rabczuk, First- principles investigation of mechanical properties of silicene, germanene and stanene, Phys. E Low-Dimensional Syst. Nanostructures. 87 (2017) 228–232. doi:10.1016/j.physe.2016.10.047
2017 doi
-
[72]
Gubaev, E
K. Gubaev, E. V. Podryabinkin, G.L.W. Hart, A. V. Shapeev, Accelerating high- throughput searches for new alloys with active learning of interatomic potentials, Comput. Mater. Sci. 156 (2019) 148–156. doi:10.1016/j.commatsci.2018.09.031
2019 doi
-
[73]
L.J. Sham, M. Schl̈ ter, Density-functional theory of the energy gap, Phys. Rev. Lett. (1983). doi:10.1103/PhysRevLett.51.1888
1983 doi
-
[74]
Shahrokhi, S
M. Shahrokhi, S. Naderi, A. Fathalian, Ab initio calculations of optical properties of B2C graphene sheet, Solid State Commun. 152 (2012) 1012–1017. doi:10.1016/j.ssc.2012.03.019
2012 doi
-
[75]
Y. Bai, K. Zhou, N. Srikanth, J.H.L. Pang, X. He, R. Wang, Dependence of elastic and optical properties on surface terminated groups in two-dimensional MXene monolayers: a first-principles study, RSC Adv. 6 (2016) 35731–35739. doi:10.1039/C6RA03090D
2016 doi
-
[76]
L. Yang, J. Deslippe, C.H. Park, M.L. Cohen, S.G. Louie, Excitonic Effects on the 22 Optical Response of Graphene and Bilayer Graphene, Phys. Rev. Lett. 103 (2009). doi:10.1103/PhysRevLett.103.186802
2009 doi
-
[77]
Shahrokhi, C
M. Shahrokhi, C. Leonard, Tuning the band gap and optical spectra of silicon-doped graphene: Many-body effects and excitonic states, J. Alloys Compd. 693 (2017) 1185–
2017
-
[78]
Shahrokhi, Quasi-particle energies and optical excitations of novel porous graphene phases from first-principles many-body calculations, Diam
M. Shahrokhi, Quasi-particle energies and optical excitations of novel porous graphene phases from first-principles many-body calculations, Diam. Relat. Mater. 77 (2017) 35–40. doi:https://doi.org/10.1016/j.diamond.2017.05.012. 23 Supporting Information Prediction of C7N6 and ...
2017 doi
-
[81]
2- AIMD results for the thermal stability
Atomic structures of constructed monolayers unit-cells in VASP POSCAR. 2- AIMD results for the thermal stability. 3- Failure mechanism upon the uniaxial loading. 4- HSE06 results for the total electronic density of states. 24
-
[82]
Atomic structures of constructed monolayers unit-cells in VASP POSCAR. 1.1-C7N6 1.00000000000000 6.7943948564804693 0.0000000000000000 0.0000000000000000 3.3971974282402351 5.8841185491832784 0.0000000000000000 0.0000000000000000 0.0000000000000000 15.0000000000000000 C N 7 6 ...
-
[386]
doi:10.1016/j.ijheatmasstransfer.2017.04.127
2017 doi
-
[1196]
doi:10.1016/j.jallcom.2016.10.101
2016 doi
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