journal article·2026-08

PySphLab: a software for calculation of electromagnetic properties of spheroid particles

Ye Zheng, Lan Jiang, Paerhatijiang Tuersun, Shuyuan Li, Bozhen Zhang

Applied Physics A· Volume 132· Issue 8
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OpenAlex topics: Plasmonic and Surface Plasmon Research · Gold and Silver Nanoparticles Synthesis and Applications · Thermal Radiation and Cooling Technologies

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References (51)

Show source-provided references
1. A.A. Kochanovskij, Aerosol optics: light absorption and scattering by particles in the atmosphere (Springer, Berlin Heidelberg, 2008)
2. C. Tomasi, S. Fuzzi, A. Kokhanovsky, Atmospheric aerosols: life cycles and effects on air quality and climate (Wiley-VCH, Verlag GmbH & Co. KGaA, Weinheim, Germany, 2017)10.1002/9783527336449 ↗
3. O. Kemppinen, J.C. Laning, R.D. Mersmann et al., Imaging atmospheric aerosol particles from a UAV with digital holography. Sci. Rep. 10, 16085 (2020). https://doi.org/10.1038/s41598-020-72411-x10.1038/s41598-020-72411-x ↗
4. T. Gric, E.U. Rafailov, On the study of ellipsoidal nanowire metamaterials for biomedical applications. Opt. Quantum Electron. 55, 993 (2023). https://doi.org/10.1007/s11082-023-05369-510.1007/s11082-023-05369-5 ↗
5. J.D. Keener, K.J. Chalut, J.W. Pyhtila, A. Wax, Application of Mie theory to determine the structure of spheroidal scatterers in biological materials. Opt. Lett. 32, 1326 (2007). https://doi.org/10.1364/OL.32.00132610.1364/OL.32.001326 ↗
6. H. Chen-Chen, S. Pérez-Hoyos, A. Sánchez-Lavega, Dust particle size, shape and optical depth during the 2018/MY34 martian global dust storm retrieved by MSL Curiosity rover navigation cameras. Icarus 354, 114021 (2021). https://doi.org/10.1016/j.icarus.2020.11402110.1016/j.icarus.2020.114021 ↗
7. S. Höfer, H. Mutschke, T.G. Mayerhöfer, Effects of anisotropy on absorption cross-section spectra of medium-sized spheroidal corundum particles. Astron. Astrophys. A87. (2021). https://doi.org/10.1051/0004-6361/20203893110.1051/0004-6361/202038931 ↗
8. Q. Xie, H. Zhang, Y. Wan et al., Characteristics of light scattering by smoke particles based on spheroid models. J. Quant. Spectrosc. Radiat. Transf. 107, 72–78 (2007). https://doi.org/10.1016/j.jqsrt.2007.01.05910.1016/j.jqsrt.2007.01.059 ↗
9. B.S. Hensley, B.T. Draine, The Astrodust + PAH Model: A Unified Description of the Extinction, Emission, and Polarization from Dust in the Diffuse Interstellar Medium. Astrophys. J. 948, 55 (2023). https://doi.org/10.3847/1538-4357/acc4c210.3847/1538-4357/acc4c2 ↗
10. J. Duan, Y. Qu, Q. Fu et al., Polarized light transmission characteristics in a smoky ellipsoidal particle medium. Appl. Opt. 62, 2510 (2023). https://doi.org/10.1364/AO.48085710.1364/AO.480857 ↗
11. L. Wang, D. Liu, Evaluation of non-spherical particle models for mineral dust in multi-wavelength polarization lidar applications: comparison of spheroid, super-ellipsoid, and irregular-hexagonal models. Remote Sens. 17, 3804 (2025). https://doi.org/10.3390/rs1723380410.3390/rs17233804 ↗
12. P.C. Waterman, Matrix formulation of electromagnetic scattering. Proc. IEEE 53, 805–812 (1965). https://doi.org/10.1109/PROC.1965.405810.1109/PROC.1965.4058 ↗
13. P.C. Waterman, Symmetry, Unitarity, and Geometry in Electromagnetic Scattering. Phys. Rev. D 3, 825–839 (1971). https://doi.org/10.1103/PhysRevD.3.82510.1103/PhysRevD.3.825 ↗
14. B.T. Draine, P.J. Flatau, Discrete-Dipole Approximation For Scattering Calculations. J. Opt. Soc. Am. A 11, 1491 (1994). https://doi.org/10.1364/JOSAA.11.00149110.1364/JOSAA.11.001491 ↗
15. B.T. Draine, P.J. Flatau, Discrete-dipole approximation for periodic targets: theory and tests. J. Opt. Soc. Am. A 25, 2693 (2008). https://doi.org/10.1364/JOSAA.25.00269310.1364/JOSAA.25.002693 ↗
16. A. Taflove, S.C. Hagness, Computational electrodynamics: the finite-difference time-domain method, 3rd ed. (Artech House, Boston, Mass., 2010)
17. J.N. Reddy, An introduction to the finite element method, 3. ed., internat. ed., [Nachdr.]. (McGraw-Hill, Boston, 2009)
18. G.-R. Liu, S.S. Quek, The finite element method: a practical course, 2nd edition. (Butterworth-Heinemann, Amsterdam Oxford, 2014)
19. J. Ding, P. Yang, Lorenz-Mie theory-type solution for light scattering by spheroids with small-to-large size parameters and aspect ratios. Opt. Express. 31, 40937 (2023). https://doi.org/10.1364/OE.50541610.1364/OE.505416 ↗
20. D.J. Wielaard, M.I. Mishchenko, A. Macke, B.E. Carlson, Improved T-matrix computations for large, nonabsorbing and weakly absorbing nonspherical particles and comparison with geometrical-optics approximation. Appl. Opt. 36, 4305 (1997). https://doi.org/10.1364/AO.36.00430510.1364/AO.36.004305 ↗
21. M.I. Mishchenko, L.D. Travis, D.W. Mackowski, T-matrix computations of light scattering by nonspherical particles: A review. J. Quant. Spectrosc. Radiat. Transf. 55, 535–575 (1996). https://doi.org/10.1016/0022-4073(96)00002-710.1016/0022-4073(96)00002-7 ↗
22. M.I. Mishchenko, L.D. Travis, Capabilities and limitations of a current fortran implementation of the T-matrix method for randomly oriented, rotationally symmetric scatterers. J. Quant. Spectrosc. Radiat. Transf. 60, 309–324 (1998). https://doi.org/10.1016/S0022-4073(98)00008-910.1016/S0022-4073(98)00008-9 ↗
23. B. Vandenbroucke, M. Baes, P. Camps, CosTuuM: Polarized Thermal Dust Emission by Magnetically Oriented Spheroidal Grains. Astron. J. 160, 55 (2020). https://doi.org/10.3847/1538-3881/ab9cbd10.3847/1538-3881/ab9cbd ↗
24. W.R.C. Somerville, B. Auguié, E.C. Le Ru, Smarties: user-friendly codes for fast and accurate calculations of light scattering by spheroids. J. Quant. Spectrosc. Radiat. Transf. 174, 39–55 (2016). https://doi.org/10.1016/j.jqsrt.2016.01.00510.1016/j.jqsrt.2016.01.005 ↗
25. D. Ma, P. Tuersun, L. Cheng et al., Pymielab_V1.0: a software for calculating the light scattering and absorption of spherical particles. Heliyon 8, e11469 (2022). https://doi.org/10.1016/j.heliyon.2022.e1146910.1016/j.heliyon.2022.e11469 ↗
26. L. Jiang, P. Tuersun, D. Ma et al., Pymultilab: a software for calculation of electromagnetic properties of multilayered spherical particles. Plasmonics 20, 4393–4404 (2024). https://doi.org/10.1007/s11468-024-02581-110.1007/s11468-024-02581-1 ↗
27. L. Tognolatti, C. Ponti, M. Santarsiero, G. Schettini, An efficient computational technique for the electromagnetic scattering by prolate spheroids. Mathematics 10, 1761 (2022). https://doi.org/10.3390/math1010176110.3390/math10101761 ↗
28. A.A. Shcherbakov, Calculation of the electromagnetic scattering by non-spherical particles based on the volume integral equation in the spherical wave function basis. J. Quant. Spectrosc. Radiat. Transf. 231, 102–114 (2019). https://doi.org/10.1016/j.jqsrt.2019.04.02210.1016/j.jqsrt.2019.04.022 ↗
29. S. Hu, L. Liu, T. Gao, Q. Zeng, Design and Validation of the Invariant Imbedded T-Matrix Scattering Model for Atmospheric Particles with Arbitrary Shapes. Appl. Sci-BASEL. 9, 4423 (2019). https://doi.org/10.3390/app920442310.3390/app9204423 ↗
30. V. Schmidt, T. Wriedt, The T-matrix for particle with arbitrary permittivity tensor and parallelization of the computational code. J. Quant. Spectrosc. Radiat. Transf. 113, 1712–1718 (2012). https://doi.org/10.1016/j.jqsrt.2012.04.00310.1016/j.jqsrt.2012.04.003 ↗
31. J. Zhao, S. Hu, X. Liu, S. Li, The computational optimization of the invariant imbedding T matrix method for the particles with N-fold symmetry. Remote Sens. 14, 4061 (2022). https://doi.org/10.3390/rs1416406110.3390/rs14164061 ↗
32. M.I. Mishchenko, L.D. Travis, A. Lacis, Scattering, absorption, and emission of light by small particles, 1. publ. (Cambridge Univ. Press, Cambridge, 2002)
33. J.A. Stratton, L.J. Chu, Diffraction theory of electromagnetic waves. Phys. Rev. 56, 99–107 (1939). https://doi.org/10.1103/PhysRev.56.9910.1103/PhysRev.56.99 ↗
34. M.N. Polyanskiy, Refractiveindex.info database of optical constants. Sci. Data. 11, 94–112 (2024). https://doi.org/10.1038/s41597-023-02898-210.1038/s41597-023-02898-2 ↗
35. A.B. Stilgoe, T.A. Nieminen, H. Rubinsztein-Dunlop, Computational toolbox for scattering of focused light from flattened or elongated particles using spheroidal wavefunctions. J. Quant. Spectrosc. Radiat. Transf. 331, 109267 (2025). https://doi.org/10.1016/j.jqsrt.2024.10926710.1016/j.jqsrt.2024.109267 ↗
36. D. Beutel, I. Fernandez-Corbaton, C. Rockstuhl, Treams – a T-matrix-based scattering code for nanophotonics. Comput. Phys. Commun. 297, 109076 (2024). https://doi.org/10.1016/j.cpc.2023.10907610.1016/j.cpc.2023.109076 ↗
37. A. Egel, K.M. Czajkowski, D. Theobald et al., SMUTHI: a python package for the simulation of light scattering by multiple particles near or between planar interfaces. J. Quant. Spectrosc. Radiat. Transf. 273, 107846 (2021). https://doi.org/10.1016/j.jqsrt.2021.10784610.1016/j.jqsrt.2021.107846 ↗
38. L. Porta, (2023) Why and How to Translate Scientific code from MATLAB to Python: A Guide for Researchers. https://neuroinformatics.dev/blog/matlab_to_python.html
39. P. Jurica, OMPC: an open-source MATLAB®-to-python compiler. Front. Neuroinformatics. 3, 1–9 (2009). https://doi.org/10.3389/neuro.11.005.200910.3389/neuro.11.005.2009 ↗
40. L. Wang, M. Hasanzadeh Kafshgari, M. Meunier, Optical properties and applications of plasmonic-metal nanoparticles. Adv. Funct. Mater. 30, 2005400 (2020). https://doi.org/10.1002/adfm.20200540010.1002/adfm.202005400 ↗
41. W. Wu, Z. Wu, T. Yu et al., Recent progress on magnetic iron oxide nanoparticles: synthesis, surface functional strategies and biomedical applications. Sci. Technol. Adv. Mater. 16, 023501 (2015). https://doi.org/10.1088/1468-6996/16/2/02350110.1088/1468-6996/16/2/023501 ↗
42. S.M. Dizaj, F. Lotfipour, M. Barzegar-Jalali et al., Antimicrobial activity of the metals and metal oxide nanoparticles. Materials Science and Engineering: C 44, 278–284 (2014). https://doi.org/10.1016/j.msec.2014.08.03110.1016/j.msec.2014.08.031 ↗
43. I. Khan, K. Saeed, I. Khan, Nanoparticles: properties, applications and toxicities. Arab. J. Chem. 12, 908–931 (2019). https://doi.org/10.1016/j.arabjc.2017.05.01110.1016/j.arabjc.2017.05.011 ↗
44. M.A. Garcia, Surface plasmons in metallic nanoparticles: fundamentals and applications. J. Phys. D Appl. Phys. 45, 389501 (2012). https://doi.org/10.1088/0022-3727/45/38/38950110.1088/0022-3727/45/38/389501 ↗
45. G. Prieto, H. Tueysuez, N. Duyckaerts et al., Hollow Nano- and Microstructures as Catalysts. Chem. Rev. 116, 14056–14119 (2016). https://doi.org/10.1021/acs.chemrev.6b0037410.1021/acs.chemrev.6b00374 ↗
46. H. Jia, C.C. Tsoi, A.E. Abed et al., Metallic plasmonic nanostructure arrays for enhanced solar photocatalysis. Laser Photonics Rev. 17, 2200700 (2023). https://doi.org/10.1002/lpor.20220070010.1002/lpor.202200700 ↗
47. P.B. Johnson, R.W. Christy, Optical constants of the noble metals. Phys. Rev. B 6, 4370–4379 (1972). https://doi.org/10.1103/PhysRevB.6.437010.1103/PhysRevB.6.4370 ↗
48. F. Cheng, P.-H. Su, J. Choi et al., Epitaxial Growth of Atomically Smooth Aluminum on Silicon and Its Intrinsic Optical Properties. ACS Nano. 10, 9852–9860 (2016). https://doi.org/10.1021/acsnano.6b0555610.1021/acsnano.6b05556 ↗
49. H.-J. Hagemann, W. Gudat, C. Kunz, Optical constants from the far infrared to the x-ray region: Mg, Al, Cu, Ag, Au, Bi, C, and Al2O3. J. Opt. Soc. Am. 65, 742 (1975). https://doi.org/10.1364/JOSA.65.00074210.1364/JOSA.65.000742 ↗
50. R. Boyack, Le E.C. Ru, Investigation of particle shape and size effects in SERS using T-matrix calculations. Phys. Chem. Chem. Phys. 11, 7398–7405 (2009). https://doi.org/10.1039/b905645a10.1039/b905645a ↗
51. D. Rioux, S. Vallières, S. Besner et al., An Analytic Model for the Dielectric Function of Au, Ag, and their Alloys. Adv. Opt. Mater. 2, 176–182 (2014). https://doi.org/10.1002/adom.20130045710.1002/adom.201300457 ↗