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All issues Volume 369 (2026) EPJ Web Conf., 369 (2026) 01007 References
Open Access
Issue
EPJ Web Conf.
Volume 369, 2026
4th International Conference on Artificial Intelligence and Applied Mathematics (JIAMA’26)
Article Number 01007
Number of page(s) 14
Section Applied Physics & Engineering Systems Modeling
DOI https://doi.org/10.1051/epjconf/202636901007
Published online 13 May 2026
  1. M. Maldovan, Sound and heat revolutions in phononics. Nature 503, 209–217 (2013). https://doi.org/10.1038/nature12608 [Google Scholar]
  2. D.G. Cahill, P.V. Braun, G. Chen, D.R. Clarke, S. Fan, K.E. Goodson, P. Keblinski, W.P. King, G.D. Mahan, A. Majumdar, H.J. Maris, S.R. Phillpot, E. Pop, L. Shi, Nanoscale thermal transport. II. 2003–2012. Appl. Phys. Rev. 1, 011305 (2014). https://doi.org/10.1063/1.4832615 [Google Scholar]
  3. J.-H. Lee, J.C. Grossman, J. Reed, G. Galli, Lattice thermal conductivity of nanoporous Si: Molecular dynamics study. Appl. Phys. Lett. 91, 223110 (2007). https://doi.org/10.1063/1.2817739 [Google Scholar]
  4. Y. He, D. Donadio, J.-H. Lee, J.C. Grossman, G. Galli, Thermal transport in nanoporous silicon: Interplay between disorder on mesoscopic and atomic scales. ACS Nano 5, 1839–1844 (2011). https://doi.org/10.1021/nn2003184 [Google Scholar]
  5. J.-K. Yu, S. Mitrovic, D. Tham, J. Varghese, J.R. Heath, Reduction of thermal conductivity in phononic nanomesh structures. Nat. Nanotechnol. 5, 718–721 (2010). https://doi.org/10.1038/nnano.2010.149 [Google Scholar]
  6. P.E. Hopkins, C.M. Reinke, M.F. Su, R.H. Olsson III, E.A. Shaner, Z.C. Leseman, J.R. Serrano, L.M. Phinney, I. El-Kady, Reduction in the thermal conductivity of single crystalline silicon by phononic crystal patterning. Nano Lett. 11, 107–112 (2011). https://doi.org/10.1021/nl102918q [Google Scholar]
  7. J. Fang, L. Pilon, Scaling laws for thermal conductivity of crystalline nanoporous silicon based on molecular dynamics simulations. J. Appl. Phys. 110, 064305 (2011). https://doi.org/10.1063/1.3638054 [Google Scholar]
  8. L. de Sousa Oliveira, N. Neophytou, Large-scale molecular dynamics investigation of geometrical features in nanoporous Si. Phys. Rev. B 100, 035409 (2019). https://doi.org/10.1103/PhysRevB.100.035409 [Google Scholar]
  9. L. de Sousa Oliveira, S.A. Hosseini, A. Greaney, N. Neophytou, Heat current anticorrelation effects leading to thermal conductivity reduction in nanoporous Si. Phys. Rev. B 102, 205405 (2020). https://doi.org/10.1103/PhysRevB.102.205405 [Google Scholar]
  10. S.A. Hosseini, A. Davies, I. Dickey, N. Neophytou, P.A. Greaney, L. de Sousa Oliveira, Super-suppression of long phonon mean-free-paths in nano-engineered Si due to heat current anticorrelations. Mater. Today Phys. 27, 100719 (2022). https://doi.org/10.1016/j.mtphys.2022.100719 [Google Scholar]
  11. P.A. Greaney, S.A. Hosseini, L. de Sousa Oliveira, A. Davies, N. Neophytou, Super-suppression of long-wavelength phonons in constricted nanoporous geometries. Nanomaterials 14, 795 (2024). https://doi.org/10.3390/nano14090795 [Google Scholar]
  12. G. Romano, J.C. Grossman, Heat transfer in nanostructured materials predicted by phonon bulk mean free path distribution. J. Heat Transfer 137, 071302 (2015). https://doi.org/10.1115/1.4029775 [Google Scholar]
  13. G. Romano, J.C. Grossman, Toward phonon-boundary engineering in nanoporous materials. Sci. Rep. 7, 44379 (2017). https://doi.org/10.1038/srep44379 [Google Scholar]
  14. L. Yang, N. Yang, B. Li, Extreme low thermal conductivity in nanoscale 3D Si phononic crystal with spherical pores. Nano Lett. 14, 1734–1738 (2014). https://doi.org/10.1021/nl403750s [Google Scholar]
  15. H. de Araujo Oliveira, Z. Fan, A. Harju, L.F.C. Pereira, Tuning the thermal conductivity of silicon phononic crystals via defect motifs: Implications for thermoelectric devices and photovoltaics. ACS Appl. Nano Mater. 8, 4364–4372 (2025). https://doi.org/10.1021/acsanm.4c01875 [Google Scholar]
  16. K.R. Hahn, C. Melis, L. Colombo, Thermal conduction and rectification phenomena in nanoporous silicon membranes. Phys. Chem. Chem. Phys. 24, 13625–13632 (2022). https://doi.org/10.1039/D2CP00775D [Google Scholar]
  17. F. Müller-Plathe, A simple nonequilibrium molecular dynamics method for calculating the thermal conductivity. J. Chem. Phys. 106, 6082–6085 (1997). https://doi.org/10.1063/1.473271 [Google Scholar]
  18. A.P. Thompson, H.M. Aktulga, R. Berger, D.S. Bolintineanu, W.M. Brown, P.S. Crozier, P.J. in’t Veld, A. Kohlmeyer, S.G. Moore, T.D. Nguyen, R. Shan, M.J. Stevens, J. Tranchida, C. Trott, S.J. Plimpton, LAMMPS – a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales. Comput. Phys. Commun. 271, 108171 (2022). https://doi.org/10.1016/j.cpc.2021.108171 [Google Scholar]
  19. P.K. Schelling, S.R. Phillpot, P. Keblinski, Comparison of atomic-level simulation methods for computing thermal conductivity. Phys. Rev. B 65, 144306 (2002). https://doi.org/10.1103/PhysRevB.65.144306 [Google Scholar]
  20. S.G. Volz, G. Chen, Molecular-dynamics simulation of thermal conductivity of silicon crystals. Phys. Rev. B 61, 2651–2656 (2000). https://doi.org/10.1103/PhysRevB.61.2651 [Google Scholar]
  21. D.P. Sellan, E.S. Landry, J.E. Turney, A.J.H. McGaughey, C.H. Amon, Size effects in molecular dynamics thermal conductivity predictions. Phys. Rev. B 81, 214305 (2010). https://doi.org/10.1103/PhysRevB.81.214305 [Google Scholar]
  22. K. Esfarjani, G. Chen, H.T. Stokes, Heat transport in silicon from first-principles calculations. Phys. Rev. B 84, 085204 (2011). https://doi.org/10.1103/PhysRevB.84.085204 [Google Scholar]
  23. C.J. Glassbrenner, G.A. Slack, Thermal conductivity of silicon and germanium from 3°K to the melting point. Phys. Rev. 134, A1058–A1069 (1964). https://doi.org/10.1103/PhysRev.134.A1058 [Google Scholar]
  24. C.-W. Nan, R. Birringer, D.R. Clarke, H. Gleiter, Effective thermal conductivity of particulate composites with interfacial thermal resistance. J. Appl. Phys. 81, 6692–6699 (1997). https://doi.org/10.1063/1.365209 [Google Scholar]
  25. N.K. Ravichandran, A.J. Minnich, Coherent and incoherent thermal transport in nanomeshes. Phys. Rev. B 89, 205432 (2014). https://doi.org/10.1103/PhysRevB.89.205432 [Google Scholar]
  26. R. Dettori, C. Melis, X. Cartoixà, R. Rurali, L. Colombo, Model for thermal conductivity in nanoporous silicon from atomistic simulations. Phys. Rev. B 91, 054305 (2015). https://doi.org/10.1103/PhysRevB.91.054305 [Google Scholar]
  27. G. Gesele, J. Linsmeier, V. Drach, J. Fricke, R. Arens-Fischer, Temperature-dependent thermal conductivity of porous silicon. J. Phys. D: Appl. Phys. 30, 2911–2916 (1997). https://doi.org/10.1088/0022-3727/30/21/001 [Google Scholar]
  28. K. Zhu, J. Wang, C. Xu, G. Cheng, R. Zheng, Abnormal anisotropic thermal conductivity in porous silicon membranes. Int. J. Heat Mass Transfer 241, 126743 (2025). https://doi.org/10.1016/j.ijheatmasstransfer.2025.126743 [Google Scholar]
  29. C. Zhu, E.A. Bamidele, X. Shen, G. Zhu, B. Li, Machine learning aided design and optimization of thermal metamaterials. Chem. Rev. 124, 4258–4331 (2024). https://doi.org/10.1021/acs.chemrev.3c00708 [Google Scholar]

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