Remarkable Predictive Power of the Modified Long Wavelength Approximation : научное издание | Научно-инновационный портал СФУ

Remarkable Predictive Power of the Modified Long Wavelength Approximation : научное издание

Тип публикации: статья из журнала

Год издания: 2021

Идентификатор DOI: 10.1021/acs.jpcc.0c09774

Аннотация: The modified long-wavelength approximation (MLWA), a next order approximation beyond the Rayleigh limit, has been applied usually only to the dipole l = 1 contribution and for the range of size parameters x not exceeding x less than or similar to 1 to estimate far- and near-field electromagnetic properties of plasmonic nanoparticles. Provided that the MLWA functional form for the T-matrix in a given channel 1 is limited to the ratio T similar to iR/(F + D - iR), where F is the familiar size-independent Frohlich term and R similar to O(x(2l+1)) is a radiative reaction term, there is a one-parameter freedom in selecting the dynamic depolarization term D similar to O(x(2)) which preserves the fundamental feature of the MLWA that its predictions coincide with those of the Mie theory up to the order O(x(2)). By exploiting this untapped design freedom, we demonstrate on a number of different metals (Ag, Al, Au, Mg), and using real material data, that the MLWA may surprisingly yield very accurate results for plasmonic spheres both for (i) x = 1 and beyond, and (ii) higher order multipoles (l > 1), essentially doubling its expected range of validity. Because the MLWA obviates the need of using spherical Bessel and Hankel functions and allows for an intuitive description of (nano)particle properties in terms of a driven damped harmonic oscillator parameters, a significantly improved analysis and understanding of nanoparticle scattering and near-field properties can be achieved.

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Издание

Журнал: JOURNAL OF PHYSICAL CHEMISTRY C

Выпуск журнала: Vol. 125, Is. 3

Номера страниц: 1963-1971

ISSN журнала: 19327447

Место издания: WASHINGTON

Издатель: AMER CHEMICAL SOC

Авторы

  • Rasskazov Ilia L. (Univ Rochester, Inst Opt, Rochester, NY 14627 USA)
  • Zakomirnyi Vadim (Siberian Fed Univ, Krasnoyarsk 660041, Russia; Russian Acad Sci, Inst Computat Modelling, Siberian Branch, Krasnoyarsk 660036, Russia)
  • Utyushev Anton D. (Siberian Fed Univ, Krasnoyarsk 660041, Russia; Russian Acad Sci, Inst Computat Modelling, Siberian Branch, Krasnoyarsk 660036, Russia)
  • Carney P.Scott (Univ Rochester, Inst Opt, Rochester, NY 14627 USA)
  • Moroz Alexander (Wave Scattering Com, Krasnoyarsk, Russia)

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