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  105. %%%TITLE, AUTHORS AND ABSTRACT%%%
  106. \twocolumn[
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  111. \includegraphics{head_foot/DOI} & \noindent\LARGE{\textbf{Photogenerated Electron-Hole Plasma Induced Symmetry Breaking in Spherical Silicon Nanoparticle}} \\%Article title goes here instead of the text "This is the title"
  112. \vspace{0.3cm} & \vspace{0.3cm} \\
  113. & \noindent\large{Anton Rudenko,$^{\ast}$\textit{$^{a}$} Konstantin Ladutenko,\textit{$^{b}$} Sergey Makarov\textit{$^{b}$} and Tatiana E. Itina\textit{$^{a}$$^{b}$}
  114. \textit{$^{a}$~Laboratoire Hubert Curien, UMR CNRS 5516, University of Lyon/UJM, 42000, Saint-Etienne, France }
  115. \textit{$^{b}$~ITMO University, Kronverksiy pr. 49, St. Petersburg, Russia}
  116. } \\%Author names go here instead of "Full name", etc.
  117. \includegraphics{head_foot/dates}
  118. & \noindent\normalsize
  119. {The concept of nonlinear all-dielectric nanophotonics based on high
  120. refractive index (e.g., silicon) nanoparticles supporting magnetic
  121. optical response has recently emerged as a powerful tool for ultrafast
  122. all-optical modulation at nanoscale. A strong modulation can be
  123. achieved via photo-generation of dense electron-hole plasma in the
  124. regime of simultaneous excitation of electric and magnetic optical
  125. resonances, resulting in an effective transient reconfiguration of
  126. nanoparticle scattering properties. However, only homogeneous plasma
  127. generation was previously considered in the photo-excited
  128. nanoparticle, remaining unexplored any effects related to the
  129. plasma-induced optical inhomogeneities. Here we examine these
  130. effects by using 3D numerical modeling of coupled electrodynamic and
  131. material ionization equations. Based on the simulation results, we
  132. observed a deeply subwavelength plasma-induced nanopatterning of
  133. spherical silicon nanoparticles. In particular, we revealed strong
  134. symmetry breaking in the initially symmetrical nanoparticle, which
  135. arises during ultrafast photoexcitation near the magnetic dipole
  136. resonance. The proposed ultrafast breaking of the nanoparticle
  137. symmetry paves the way to the novel opportunities for nonlinear
  138. optical nanodevices.}
  139. \end{tabular}
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  141. ]%%%END OF TITLE, AUTHORS AND ABSTRACT%%%
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  144. \section*{} \vspace{-1cm}
  145. %%%FOOTNOTES%%%
  146. \footnotetext{\textit{$^{a}$~Univ Lyon, UJM-St-Etienne, CNRS UMR 5516,
  147. F-42000, Saint-Etienne, France}} \footnotetext{\textit{$^{b}$~ITMO
  148. University, Kronverksiy pr. 49, St. Petersburg, Russia}}
  149. % Please use \dag to cite the ESI in the main text of the article.
  150. % If you article does not have ESI please remove the the \dag symbol
  151. % from the title and the footnotetext below.
  152. % \footnotetext{\dag~Electronic Supplementary Information (ESI)
  153. % available: [details of any supplementary information available
  154. % should be included here]. See DOI:10.1039/b000000x/} %additional
  155. % addresses can be cited as above using the lower-case letters, c, d,
  156. % e... If all authors are from the same address, no letter is required
  157. % \footnotetext{\ddag~Additional footnotes to the title and authors can
  158. % be included \emph{e.g.}\ `Present address:' or `These authors
  159. % contributed equally to this work' as above using the symbols: \ddag,
  160. % \textsection, and \P. Please place the appropriate symbol next to the
  161. % author's name and include a \texttt{\textbackslash footnotetext} entry
  162. % in the the correct place in the list.}
  163. %%%END OF FOOTNOTES%%%
  164. %%%MAIN TEXT%%%%
  165. \section{Introduction}
  166. All-dielectric nonlinear nanophotonics based on high refractive index
  167. dielectric has become prospective paradigm in modern optics, owing to
  168. recent advances in harmonics generation~\cite{shcherbakov2014enhanced,
  169. yang2015nonlinear, makarov2016self, shorokhov2016multifold,
  170. makarov2017efficient} and ultrafast all-optical
  171. modulation~\cite{iyer2015reconfigurable, makarov2015tuning,
  172. shcherbakov2015ultrafast, yang2015nonlinear, baranov2016nonlinear,
  173. baranov2016tuning, shcherbakov2017ultrafast}. In fact,
  174. all-dielectric nanoantennas and metasurfaces possess much smaller
  175. parasitic Joule losses at high intensities as compared with their
  176. plasmonic counterparts, whereas their nonlinear properties are
  177. comparable. More importantly, the unique properties of the nonlinear
  178. all-dielectric nanodevices are due to existing of both electric and
  179. magnetic optical resonances in visible and near IR
  180. ranges~\cite{kuznetsov2016optically}. For instance, even slight
  181. variation of dielectric permittivity around optical resonances leads
  182. to significant changes of optical properties (transmittance or
  183. reflectance) of all-dielectric nanoantennas~\cite{makarov2015tuning,
  184. baranov2016nonlinear, baranov2016tuning} and
  185. metasurfaces~\cite{iyer2015reconfigurable, shcherbakov2015ultrafast,
  186. yang2015nonlinear, shcherbakov2017ultrafast, makarov2017light}.
  187. In these works on all-dielectric nonlinear nanostructures, the
  188. building blocks (nanoparticles) were considered as objects with
  189. dielectric permittivity \textit{homogeneously} distributed over
  190. nanoparticle (NP). Therefore, in order to manipulate the propagation
  191. angle of the transmitted light it was proposed to use complicated
  192. nanostructures with reduced symmetry~\cite{albella2015switchable,
  193. baranov2016tuning, shibanuma2016unidirectional}.
  194. \begin{figure}[t] \centering
  195. \includegraphics[width=0.75\linewidth]{Concept.pdf}
  196. \caption{Schematic illustration of electron-hole plasma 2D and 1D
  197. distributions in silicon nanoparticle around a magnetic resonance.}
  198. \label{fgr:concept}
  199. \end{figure}
  200. Recently, plasma explosion imaging technique has been used to
  201. observe electron-hole plasmas (EHP), produced by femtosecond lasers,
  202. inside NPs~\cite{Hickstein2014}. Particularly, a strongly
  203. localized EHP in the front side\footnote{The incident wave propagates
  204. in positive direction of $z$ axis. For the NP with
  205. geometric center located at $z=0$ front side corresponds to the
  206. volume $z>0$ and back side for $z<0$} of NaCl nanocrystals of
  207. $R = 100$ nm was revealed. The forward ejection of ions in this case
  208. was attributed to a nanolensing effect inside the NP and the
  209. intensity enhancement as low as $10\%$ on the far side of the
  210. NP. Much stronger enhancements can be achieved near electric
  211. and magnetic dipole resonances excited in single semiconductor
  212. NPs, such as silicon (Si), germanium (Ge) etc.
  213. In this Letter, we show that ultra-short laser-based EHP
  214. photo-excitation in a spherical semiconductor (e.g., silicon) NP leads
  215. to a strongly inhomogeneous carrier distribution. To reveal and study
  216. this effect, we perform a full-wave numerical simulation of the
  217. intense femtosecond (\textit{fs}) laser pulse interaction with a
  218. silicon NP supporting Mie resonances and two-photon free carrier
  219. generation. In particular, we couple finite-difference time-domain
  220. (FDTD) method used to solve three-dimensional Maxwell equations with
  221. kinetic equations describing nonlinear EHP generation.
  222. Three-dimensional transient variation of the material dielectric
  223. permittivity is calculated for NPs of several sizes. The obtained
  224. results propose a novel strategy to create complicated non-symmetrical
  225. nanostructures by using single photo-excited spherical silicon
  226. NPs. Moreover, we show that a dense EHP can be generated at deeply
  227. subwavelength scale
  228. ($\approx$$\lambda$$^3$/100) supporting the formation of small
  229. metalized parts inside the NP. In fact, such effects transform an
  230. all-dielectric NP to a hybrid one strongly extending functionality of
  231. the ultrafast optical nanoantennas.
  232. %Plan:
  233. %\begin{itemize}
  234. %\item Fig.1: Beautiful conceptual picture
  235. %\item Fig.2: Temporal evolution of EHP in NP with different diameters
  236. %at fixed intensity, in order to show that we have the highest
  237. %asymmetry around magnetic dipole (MD) resonance. This would be really
  238. %nice!
  239. %\item Fig.3: Temporal evolution of EHP in NP with fixed diameter (at
  240. %MD) at different intensities, in order to show possible regimes of
  241. %plasma-patterning of NP volume. It would be nice, if we will show
  242. %power patterns decencies on intensity for side probe pulse to show beam steering due to symmetry breaking.
  243. %\item Fig.4: (a) Dependence on pulse duration is also interesting. We
  244. %have to show at which duration the asymmetry factor is saturated. (b)
  245. %2D map of asymmetry factor in false colors, where x-axis and y-axis correspond to intensity and NP diameter.
  246. %\end{itemize} %Additionally, if you will manage to calculate
  247. %evolution of scattering power pattern and show considerable effect of
  248. % beam steering, we can try Nanoscale or LPR, because the novelty will
  249. % be very high.
  250. \section{Modeling details}
  251. We focus attention on silicon because this material is promising for
  252. the implementation of numerous nonlinear photonic devices. This
  253. advantage is based on a broad range of optical nonlinearities, strong
  254. two-photon absorption, as well as a possibility of the photo-induced
  255. EHP excitation~\cite{leuthold2010nonlinear}. Furthermore, silicon
  256. nanoantennas demonstrate a sufficiently high damage threshold due to
  257. the large melting temperature ($\approx 1690$K), whereas its nonlinear
  258. optical properties have been extensively studied during last
  259. decays~\cite{Van1987, Sokolowski2000, leuthold2010nonlinear}. High
  260. silicon melting point typically preserves structures formed from this
  261. material up to the EHP densities on the order of the critical value
  262. $N_{cr} \approx 5\cdot{10}^{21}$ cm$^{-3}$ \cite{Korfiatis2007}. At
  263. the critical density and above, silicon acquires metallic properties
  264. ($Re(\epsilon) < 0$) and contributes to the EHP reconfiguration during
  265. ultrashort laser irradiation.
  266. The process of three-dimensional photo-generation of the EHP in
  267. silicon NPs has not been modeled before in
  268. time-domain. Therefore, herein we propose a model considering
  269. ultrashort laser interactions with a resonant silicon sphere, where
  270. the EHP is generated via one- and two-photon absorption processes.
  271. Importantly, we also consider nonlinear feedback of the material by
  272. taking into account the intraband light absorption on the generated
  273. free carriers. To simplify our model, we neglect free carrier
  274. diffusion at the considered short time scales. In fact, the aim of the
  275. present work is to study the EHP dynamics \textit{during} ultra-short
  276. laser interaction with the NP. The created electron-hole
  277. plasma then will recombine, however, as its existence modifies both
  278. laser-particle interaction and, hence, the following particle
  279. evolution.
  280. \subsection{Light propagation}
  281. Ultra-short laser interaction and light propagation inside the silicon
  282. NP are modeled by solving the system of three-dimensional Maxwell's equations
  283. written in the following way
  284. \begin{align} \begin{cases} \label{Maxwell}$$
  285. \displaystyle{\frac{\partial{\vec{E}}}{\partial{t}}=\frac{\nabla\times\vec{H}}{\epsilon_0\epsilon}-\frac{1}{\epsilon_0\epsilon}(\vec{J}_p+\vec{J}_{Kerr})} \\
  286. \displaystyle{\frac{\partial{\vec{H}}}{\partial{t}}=-\frac{\nabla\times\vec{E}}{\mu_0}},
  287. $$ \end{cases}
  288. \end{align}
  289. where $\vec{E}$ is the electric field, $\vec{H}$ is the magnetizing
  290. field, $\epsilon_0$ is the free space permittivity, $\mu_0$ is the
  291. permeability of free space, $\epsilon = n^2 = 3.681^2$ is the
  292. permittivity of non-excited silicon at $800$ nm wavelength
  293. \cite{Green1995}, $\vec{J}_p$ and $\vec{J}_{Kerr}$ are the nonlinear
  294. currents, which include the contribution due to Kerr effect
  295. $\vec{J}_{Kerr} =
  296. \epsilon_0\epsilon_\infty\chi_3\frac{\partial\left(\left|\vec{E}\right|^2\vec{E}\right)}{\partial{t}}$,
  297. where $\chi_3 =4\cdot{10}^{-20}$ m$^2$/V$^2$ for laser wavelength
  298. $\lambda = 800$nm \cite{Bristow2007}, and heating of the conduction
  299. band, described by the differential equation derived from the Drude
  300. model
  301. \begin{equation} \label{Drude}
  302. \displaystyle{\frac{\partial{\vec{J_p}}}{\partial{t}} = -
  303. \nu_e\vec{J_p} + \frac{e^2N_e(t)}{m_e^*}\vec{E}},
  304. \end{equation}
  305. where $e$ is the elementary charge, $m_e^* = 0.18m_e$ is the reduced
  306. electron-hole mass \cite{Sokolowski2000}, $N_e(t)$ is the
  307. time-dependent free carrier density and $\nu_e = 10^{15}$ s$^{-1}$ is
  308. the electron collision frequency \cite{Sokolowski2000}. Silicon
  309. NP is surrounded by vacuum, where the light propagation is
  310. calculated by Maxwell's equations with $\vec{J} = 0$ and
  311. $\epsilon = 1$. The system of Maxwell's equations coupled with
  312. electron density equation is solved by the finite-difference numerical
  313. method \cite{Rudenko2016}, based on the finite-difference time-domain
  314. (FDTD) \cite{Yee1966} and auxiliary-differential methods for
  315. dispersive media \cite{Taflove1995}. At the edges of the grid, we
  316. apply the absorbing boundary conditions related to convolutional
  317. perfectly matched layers (CPML) to avoid nonphysical reflections
  318. \cite{Roden2000}. The initial electric field is introduced as a
  319. Gaussian slightly focused beam as follows
  320. \begin{align}
  321. \begin{aligned}
  322. \label{Gaussian}
  323. {E_x}(t, r, z) = \frac{w_0}{w(z)}{exp}\left(i\omega{t} - \frac{r^2}{{w(z)}^2} - ikz - ik\frac{r^2}{2R(z)} + i\varsigma(z)\right)\\
  324. \times\;{exp}\left(-\frac{4\ln{2}(t-t_0)^2}{\theta^2}\right),
  325. \end{aligned}
  326. \end{align}
  327. where $\theta = 50$ fs is the temporal pulse width at the half maximum (FWHM),
  328. $t_0$ is a time delay, $w_0 = 3{\mu}m$ is the waist beam,
  329. $w(z) = {w_0}\sqrt{1+(\frac{z}{z_R})^2}$ is the Gaussian's beam spot
  330. size, $\omega = 2{\pi}c/{\lambda}$ is the angular frequency,
  331. $\lambda = 800$ nm is the laser wavelength in air, $c$ is the speed of
  332. light, ${z_R} = \frac{\pi{{w_0}^2}n_0}{\lambda}$ is the Rayleigh
  333. length, $r = \sqrt{x^2 + y^2}$ is the radial distance from the beam's
  334. waist, $R_z = z\left(1+(\frac{z_R}{z})^2\right)$ is the radius of
  335. curvature of the wavelength comprising the beam, and
  336. $\varsigma(z) = {\arctan}(\frac{z}{z_R}) $ is the Gouy phase shift.
  337. \subsection{Material ionization}
  338. To account for the material ionization that is induced by a
  339. sufficiently intense laser field inside the particle, we couple
  340. Maxwell's equations with the kinetic equation for the electron-hole
  341. plasma as described below.
  342. % \begin{figure*}[ht!]
  343. % \centering
  344. % \includegraphics[width=120mm]{fig2.png}
  345. % \caption{\label{fig2} Free carrier density snapshots of electron plasma evolution inside Si NP taken a) $30\:f\!s$ b) $10\:f\!s$ before the pulse peak, c) at the pulse peak, d) $10\:f\!s$ e) $30\:f\!s$ after the pulse peak. Pulse duration $50\:f\!s$ (FWHM). Wavelength $800$ nm in air. Radius of the NP $R \approx 105$ nm, corresponding to the resonance condition. Graph shows the dependence of the asymmetric parameter of electron plasma density on the average electron density in the front half of the NP. $n_{cr} = 5\cdot{10}^{21}$ cm$^{-3}$ is the critical plasma resonance electron density for silicon.}
  346. % \end{figure*}
  347. The time-dependent conduction-band carrier density evolution is
  348. described by a rate equation that was proposed by van Driel
  349. \cite{Van1987}. This equation takes into account such processes as
  350. photoionization, avalanche ionization and Auger recombination, and is
  351. written as
  352. \begin{equation} \label{Dens}
  353. \displaystyle{\frac{\partial{N_e}}{\partial t} =
  354. \frac{N_a-N_e}{N_a}\left(\frac{\sigma_1I}{\hbar\omega} +
  355. \frac{\sigma_2I^2}{2\hbar\omega}\right) + \alpha{I}N _e -
  356. \frac{C\cdot{N_e}^3}{C\tau_{rec}N_e^2+1},} \end{equation} where
  357. $I=\frac{n}{2}\sqrt{\frac{\epsilon_0}{\mu_0}}\left|\vec{E}\right|^2$
  358. is the intensity, $\sigma_1 = 1.021\cdot{10}^3$ cm$^{-1}$ and
  359. $\sigma_2 = 0.1\cdot{10}^{-7}$ cm/W are the one-photon and two-photon
  360. interband cross-sections \cite{Choi2002, Bristow2007, Derrien2013},
  361. $N_a = 5\cdot{10}^{22} cm^{-3}$ is the saturation particle density
  362. \cite{Derrien2013}, $C = 3.8\cdot{10}^{-31}$ cm$^6$/s is the Auger
  363. recombination rate \cite{Van1987}, $\tau_{rec} = 6\cdot{10}^{-12}$s is
  364. the minimum Auger recombination time \cite{Yoffa1980}, and
  365. $\alpha = 21.2$ cm$^2$/J is the avalanche ionization coefficient
  366. \cite{Pronko1998} at the wavelength $800$ nm in air. As we have noted,
  367. free carrier diffusion is neglected during and shortly after the laser
  368. excitation \cite{Van1987, Sokolowski2000}. In particular, from the
  369. Einstein formula $D = k_B T_e \tau/m^* \approx (1\div2)\cdot{10}^{-3}$ m$^2$/s
  370. ($k_B$ is the Boltzmann constant, $T_e$ is the electron temperature,
  371. $\tau=1$~\textit{fs} is the collision time, $m^* = 0.18 m_e$ is the effective
  372. mass), where $T_e \approx 2*{10}^4$ K for $N_e$ close to $N_{cr}$ \cite{Ramer2014}. It
  373. means that during the pulse duration ($\approx$ 50~\textit{fs}) the diffusion
  374. length will be around $5\div10$~nm for $N_e$ close to $N_{cr}$.
  375. \begin{figure}[ht!]
  376. \centering
  377. \includegraphics[width=0.495\textwidth]{mie-fdtd-3}
  378. \caption{\label{mie-fdtd} (a, b) First four Lorentz-Mie coefficients
  379. ($a_1$, $a_2$, $b_1$, $b_2$) and factors of asymmetry $G_I$, $G_{I^2}$
  380. according to Mie theory at fixed wavelength $800$ nm. (c, d) Intensity
  381. distribution calculated by Mie theory and (e, f) EHP distribution
  382. for low free carrier densities $N_e \approx 10^{20}$ cm$^{-3}$ by
  383. Maxwell's equations (\ref{Maxwell}, \ref{Drude}) coupled with EHP
  384. density equation (\ref{Dens}). (c-f) Incident light propagates from
  385. the left to the right along $Z$ axis, electric field polarization
  386. $\vec{E}$ is along $X$ axis.}
  387. \end{figure}
  388. %\begin{figure*}[ht!] \label{EHP}
  389. %\centering
  390. %\begin{tabular*}{0.76\textwidth}{ c@{\extracolsep{\fill}} c@{\extracolsep{\fill}} c@{\extracolsep{\fill}} c@{\extracolsep{\fill}} c}
  391. %$-80\:f\!s$&$-60\:f\!s$&$-30\:f\!s$&$ -20\:f\!s$&$ -10\:f\!s$\\
  392. %\end{tabular*}
  393. %{\setlength\topsep{-1pt}
  394. %\begin{flushleft}
  395. %$R=75$~nm
  396. %\end{flushleft}}
  397. %\includegraphics[width=0.9\textwidth]{2nm_75}
  398. %{\setlength\topsep{-1pt}
  399. %\begin{flushleft}
  400. %$R=100$~nm
  401. %\end{flushleft}}
  402. %\includegraphics[width=0.9\textwidth]{2nm_100}
  403. %{\setlength\topsep{-1pt}
  404. %\begin{flushleft}
  405. %$R=115$~nm
  406. %\end{flushleft}}
  407. %\includegraphics[width=0.9\textwidth]{2nm_115}
  408. %\caption{\label{plasma-105nm} Evolution of electron density $n_e$
  409. % (using $10^{\,20} \ {\rm cm}^{-3}$ units) for
  410. %(a$\,$--$\,$e)~$R=75$~nm, (f$\,$--$\,$j$\,$)~$R=100$~nm, and
  411. %($\,$k$\,$--$\,$o)~$R=115$~nm. Gaussian pulse duration $80\:f\!s$,
  412. %snapshots are taken before the pulse maxima, the corresponding
  413. %time-shifts are shown in the top of each column. Laser irradiation
  414. %fluences are (a-e) $0.12$ J/cm$^2$, (f-o) $0.16$ J/cm$^2$.}
  415. %\end{figure*}
  416. The changes of the real and imaginary parts of the permittivity
  417. associated with the time-dependent free carrier response
  418. \cite{Sokolowski2000} can be derived from equations (\ref{Maxwell},
  419. \ref{Drude}) and are written as follows
  420. \begin{align} \begin{cases} \label{Index} $$
  421. \displaystyle{Re(\epsilon^\ast) = \epsilon -\frac{{e^2}N_e}{\epsilon_0m_e^*(\omega^2+{\nu_e}^2)}} \\
  422. \displaystyle{Im(\epsilon^\ast) = \frac{{e^2}N_e\nu_e}{\epsilon_0m_e^*\omega(\omega^2+{\nu_e}^2)}.}
  423. $$ \end{cases} \end{align}
  424. \subsection{Mie calculations}
  425. A steady-state interaction of a plain electromagnetic wave with a
  426. spherical particle has a well-known analytical solution described by a
  427. Mie theory~\cite{Bohren1983}. It is only valid in the absence of
  428. nonlinear optical response, thus we can compare it against
  429. above-mentioned FDTD-EHP model only for small plasma densities, where
  430. we can neglect EHP impact to the refractive index. Non-stationary
  431. nature of a femtosecond pulse increase the complexity of the
  432. analysis. A detailed discussion on the relation between Mie theory and
  433. FDTD-EHP model will be provided in the next section.
  434. We used Scattnlay program to evaluate calculations of Mie coefficients
  435. and near-field distribution~\cite{Ladutenko2017}. This program is
  436. available online at GitHub~\cite{Scattnlay-web} under open source
  437. license.
  438. \section{Results and discussion}
  439. \begin{figure*}[p]
  440. \centering
  441. \includegraphics[width=145mm]{time-evolution-I-no-NP.pdf}
  442. \caption{\label{fig3} Temporal EHP (a, c, e) and asymmetry factor
  443. $G_{N_e}$ (b, d, f) evolution for different Si nanoparticle radii
  444. (a, b) $R = 75$ nm, (c, d) $R = 100$ nm, (e, f) $R = 115$ nm. Pulse
  445. duration $50$~\textit{fs} (FWHM). Wavelength $800$ nm in air. (b,
  446. d, f) Different stages of EHP evolution shown in Fig.~\ref{fig2}
  447. are indicated. The temporal evolution of Gaussian beam intensity is
  448. also shown. Peak laser fluence is fixed to be $0.125$J/cm$^2$.}
  449. \vspace*{\floatsep}
  450. \centering
  451. \includegraphics[width=150mm]{plasma-grid.pdf}
  452. \caption{\label{fig2} EHP density snapshots inside Si nanoparticle of
  453. radii $R = 75$ nm (a-d), $R = 100$ nm (e-h) and $R = 115$ nm (i-l)
  454. taken at different times and conditions of excitation (stages
  455. $1-4$: (1) first optical cycle, (2) extremum at few optical cycles,
  456. (3) Mie theory, (4) nonlinear effects). $\Delta{Re(\epsilon)}$
  457. indicates the real part change of the dielectric function defined
  458. by Equation (\ref{Index}). Pulse duration $50$~\textit{fs}
  459. (FWHM). Wavelength $800$ nm in air. Peak laser fluence is fixed to
  460. be $0.125$ J/cm$^2$.}
  461. \end{figure*}
  462. %\subsection{Effect of the irradiation intensity on EHP generation}
  463. Firstly, we analyze Mie coefficients (Fig.~\ref{mie-fdtd}) and the
  464. intensity distribution inside the non-excited Si NP as a function of
  465. its size for a fixed laser wavelength $\lambda = 800$~nm. We
  466. introduce $G_I$ factor of asymmetry, corresponding to difference
  467. between the volume integral of intensity in the front side of the NP
  468. to that in the back side normalized to their sum:
  469. $G_I = (I^{front}-I^{back})/(I^{front}+I^{back})$, where
  470. $I^{front}=\int_{(z>0)}|E|^2d{\mathrm{v}}$ and
  471. $I^{back}=\int_{(z<0)} |E|^2d{\mathrm{v}}$. The factor $G_{I^2}$ was
  472. determined in a similar way by using volume integrals of squared
  473. intensity to predict EHP asymmetry due to two-photon absorption.
  474. Fig.~\ref{mie-fdtd}(b) shows $G$ factors as a function of the NP
  475. size. For the NPs of sizes below the first magnetic dipole resonance,
  476. the intensity is enhanced in the front side as in
  477. Fig.~\ref{mie-fdtd}(c) and $G_I > 0$. The behavior changes near the
  478. size resonance value, corresponding to $R \approx 105$~nm. In
  479. contrast, for larger sizes, the intensity is enhanced in the back
  480. side of the NP as demonstrated in Fig.~\ref{mie-fdtd}(d). In fact,
  481. very similar EHP distributions can be obtained by applying Maxwell's
  482. equations coupled with the rate equation for relatively weak
  483. excitation $N_e \approx 10^{20}$ cm$^{-3}$. The optical properties do
  484. not change considerably due to the excitation according to
  485. (\ref{Index}). Therefore, the excitation processes follow the
  486. intensity distribution. However, such coincidence was achieved under
  487. quasi-stationary conditions, after the electric field made enough
  488. oscillations inside the Si NP.
  489. To achieve a qualitative description of the EHP distribution, we
  490. introduced another asymmetry factor
  491. $G_{N_e} = (N_e^{front}-N_e^{back})/(N_e^{front}+N_e^{back})$
  492. indicating the relationship between the average EHP densities in the
  493. front and in the back parts of the NP. This way, $G_{N_e} = 0$
  494. corresponds to the quasi-homogeneous case and the assumption of the
  495. NP homogeneous EHP distribution can be made to investigate the
  496. optical response of the excited Si NP. When $G_{N_e}$ significantly
  497. differs from $0$, this assumption, however, could not be
  498. justified. In what follows, we discuss the results of the numerical
  499. modeling revealing the EHP evolution stages during pulse duration
  500. shown in Fig.~\ref{fig2} and the temporal/EHP dependent evolution of
  501. the asymmetry factor $G_{N_e}$ in Fig.~\ref{fig3}.
  502. % Fig. \ref{Mie} demonstrates the temporal evolution of the EHP
  503. % generated inside the silicon NP of $R \approx 105$
  504. % nm. Here, irradiation by high-intensity, $I\approx $ from XXX to YYY
  505. % (???), ultrashort laser Gaussian pulse is considered. Snapshots of
  506. % free carrier density taken at different times correspond to
  507. % different total amount of the deposited energy (different laser
  508. % intensities).
  509. %To better analyze the degree of inhomogeneity, we introduce the EHP
  510. % asymmetry parameter, $G$, which is defined as a relation between the
  511. % average electron density generated in the front side of the
  512. % NP and the average electron density in the back side, as
  513. % shown in Fig. \ref{fig2}. During the femtosecond pulse interaction,
  514. % this parameter significantly varies.
  515. To describe all the stages of powerful enough light interaction with
  516. Si NP, we present the calculation results obtained by using Maxwell's
  517. equations coupled with electron kinetics equations for different
  518. radii for resonant and non-resonant conditions. In this case, the
  519. geometry of the EHP distribution can strongly deviate from the
  520. intensity distribution given by Mie theory. Two main reasons cause
  521. the deviation: (i) non-stationarity of the energy deposition and (ii)
  522. nonlinear effects, taking place due to transient optical changes in
  523. Si. The non-stationary intensity deposition results in different time
  524. delays for exciting electric and magnetic resonances inside Si NP
  525. because of different quality factors $Q$ of the resonances. In
  526. particular, magnetic dipole resonance (\textit{b1}) has $Q \approx$
  527. 8, whereas electric one (\textit{a1}) has $Q \approx$4. The larger
  528. particle supporting magnetic quadrupole resonance (\textit{b2})
  529. demonstrates \textit{Q} $\approx$ 40. As soon as the electromagnetic
  530. wave period at $\lambda$~=~800~nm is 2.6~\textit{fs}, one needs about
  531. 10~\textit{fs} to pump the electric dipole, 20~\textit{fs} for the
  532. magnetic dipole, and about 100~\textit{fs} for the magnetic
  533. quadrupole. According to these considerations, the first optical
  534. cycles taking place on few-femtosecond scale result in the excitation
  535. of the low-\textit{Q} electric dipole resonance independently on the
  536. exact size of NPs and with the EHP concentration mostly on the front
  537. side of the NPs. We address to this phenomena as \textit{'Stage 1'},
  538. as shown in Figs.~\ref{fig2} and~\ref{fig2}. The first stage at the
  539. first optical cycle demonstrates the dominant electric dipole
  540. resonance effect on the intensity/EHP density distribution inside the
  541. NPs in Fig.~\ref{fig2}(a,e,j) and~\ref{fig3}. The larger the NPs size
  542. is, the higher the NP asymmetry $G_{N_e}$ is achieved.
  543. \textit{'Stage 2'} corresponds to further electric field oscillations
  544. ($t \approx 2\div15$) leading to the unstationery EHP evolution
  545. with a maximum of the EHP distribution in the front side of the Si NP
  546. owing to the starting excitation of MD and MQ resonances that require more
  547. time to be excited. At this stage, the density of EHP ($N_e < 10^{20}$cm$^2$)
  548. is still not high enough to significantly affect the optical properties
  549. of the NP.
  550. A number of optical cycles ($>$10 or $t>$25~\textit{fs}) is necessary
  551. to achieve the stationary intensity pattern corresponding to the
  552. Mie-based intensity distribution at the \textit{'Stage $3$'} (see
  553. Fig.~\ref{fig3}). The EHP density is still relatively small to affect
  554. the EHP evolution or for diffusion, but is already high enough to
  555. change the local optical properties. Below the magnetic dipole
  556. resonance $R \approx 100$~nm, the EHP is mostly localized in the
  557. front side of the NP as shown in Fig.~\ref{fig2}(c). The highest
  558. stationary asymmetry factor $G_{N_e} \approx 0.5\div0.6$ is achieved
  559. in this case. At the magnetic dipole resonance conditions, the EHP
  560. distribution has a toroidal shape and is much closer to the
  561. homogeneous distribution. In contrast, above the magnetic dipole
  562. resonant size for $R = 115$~nm, and the $G_{N_e} < 0$ due to the fact
  563. that EHP is dominantly localized in the back side of the NP.
  564. For the higher excitation conditions, the optical properties of
  565. silicon change significantly according to the equations
  566. (\ref{Index}). As a result, the non-resonant electric dipole
  567. contributes to the forward shifting of EHP density
  568. maximum. Therefore, EHP is localized in the front part of the NP,
  569. influencing the asymmetry factor $G_{N_e}$ in
  570. Fig.~\ref{fig3}. Approximately at the pulse peak, the critical
  571. electron density $N_{cr} = 5\cdot{10}^{21}$ cm$^{-3}$ for silicon,
  572. which corresponds to the transition to quasi-metallic state
  573. $Re(\epsilon) \approx 0$ and to the electron plasma resonance, is
  574. overcome. Further irradiation leads to a decrease in the asymmetry
  575. parameter down to $G_{N_e} = 0$ for higher EHP densities, as one can
  576. observe in Fig.~\ref{fig2}(d, h, l).
  577. As the EHP acquires quasi-metallic properties at stronger excitation
  578. $N_e > 5\cdot{10}^{21}$ cm$^{-3}$, the EHP distribution evolves
  579. inside NPs because of the photoionization and avalanche ionization
  580. induced transient optical response and the effect of newly formed
  581. EHP. This way, the distribution becomes more homogeneous and the
  582. effect is likely to be enhanced by electron diffusion inside Si
  583. NPs. We refer to these nonlinear phenomena as \textit{'Stage~$4$'}.
  584. It is worth noting that it is possible to achieve a formation of
  585. deeply subwavelength EHP regions due to high field localization. The
  586. smallest EHP localization and the larger asymmetry factor are
  587. achieved below the magnetic dipole resonant conditions for $R < 100$~nm.
  588. Thus, the EHP distribution in Fig.~\ref{fig2}(c) is optimal for
  589. symmetry breaking in Si NP, as it results in the larger asymmetry
  590. factor $G_{N_e}$ and higher electron densities $N_e$. We stress here
  591. that such regime could be still safe for NP due to the very small
  592. volume where such high EHP density is formed.
  593. % \subsection{Effects of NP size and scattering efficiency
  594. % factor on scattering directions}
  595. % \begin{figure}[ht] \centering
  596. % \includegraphics[width=90mm]{fig3.png}
  597. % \caption{\label{fig3} a) Scattering efficiency factor $Q_{sca}$
  598. % dependence on the radius $R$ of non-excited silicon NP
  599. % calculated by Mie theory; b) Parameter of forward/backward scattering
  600. % dependence on the radius $R$ calculated by Mie theory for non-excited
  601. % silicon NP c) Optimization parameter $K$ dependence on the
  602. % average electron density $n_e^{front}$ in the front half of the
  603. % NP for indicated radii (1-7).}
  604. % \end{figure}
  605. % We have discussed the EHP kinetics for a silicon NP of a
  606. % fixed radius $R \approx 105$ nm. In what follows, we investigate the
  607. % influence of the NP size on the EHP patterns and temporal
  608. % evolution during ultrashort laser irradiation. A brief analysis of
  609. % the initial intensity distribution inside the NP given by
  610. % the classical Mie theory for homogeneous spherical particles
  611. % \cite{Mie1908} can be useful in this case. Fig. \ref{fig3}(a, b)
  612. % shows the scattering efficiency and the asymmetry parameter for
  613. % forward/backward scattering for non-excited silicon NPs of
  614. % different radii calculated by Mie theory \cite{Mie1908}. Scattering
  615. % efficiency dependence gives us the value of resonant sizes of
  616. % NPs, where the initial electric fields are significantly
  617. % enhanced and, therefore, we can expect that the following conditions
  618. % will result in a stronger electron density gradients. Additionally,
  619. % in the case of maximum forward or backward scattering, the initial
  620. % intensity distribution has the maximum of asymmetry. One can note,
  621. % that for $R \approx 100$ nm and $R \approx 150$ nm both criteria are
  622. % fulfilled: the intensity is enhanced $5-10$ times due to
  623. % near-resonance conditions and its distribution has a strong
  624. % asymmetry.
  625. % In what follows, we present the calculation results obtained by
  626. % using Maxwell's equations coupled with electron kinetics for
  627. % different extremum radii for resonant and non-resonant
  628. % conditions. One can note, that the maximum asymmetry factor of EHP
  629. % $G$ does not guarantee the optimal asymmetry of intensity
  630. % distribution, as the size of generated plasma and the value of the
  631. % electron density equally contribute to the change of the modified
  632. % NP optical response. For example, it is easier to localize
  633. % high electron densities inside smaller NPs, however, due
  634. % to the negligible size of the generated EHP with respect to laser
  635. % wavelength in media, the intensity distribution around the
  636. % NP will not change considerably. Therefore, we propose to
  637. % introduce the optimization factor
  638. % $K = \frac{n_e(G-1)R^2}{n_{cr}G{R_0^2}}$, where $R_0 = 100$ nm,
  639. % $n_{cr} = 5\cdot{10}^{21} cm^{-3}$, and $G$ is asymmetry of EHP,
  640. % defined previously. The calculation results for different radii of
  641. % silicon NPs and electron densities are presented in
  642. % Fig. \ref{fig3}(c). One can see, that the maximum value are achieved
  643. % for the NPs, that satisfy both initial maximum forward
  644. % scattering and not far from the first resonant condition. For larger
  645. % NPs, lower values of EHP asymmetry factor are obtained, as
  646. % the electron density evolves not only from the intensity patterns in
  647. % the front side of the NP but also in the back side.
  648. %TODO:
  649. %Need to discuss agreement/differences between Mie and FDTD+rate. Anton ?!
  650. % To demonstrate the effect of symmetry breaking, we calculate the
  651. % intensity distribution around the NP for double-pulse
  652. % experiment. The first pulse of larger pulse energy and polarization
  653. % along $Ox$ generates asymmetric EHP inside silicon NP,
  654. % whereas the second pulse of lower pulse energy and polarization $Oz$
  655. % interacts with EHP after the first pulse is gone. The minimum
  656. % relaxation time of high electron density in silicon is
  657. % $\tau_{rec} = 6\cdot{10}^{-12}$ s \cite{Yoffa1980}, therefore, the
  658. % electron density will not have time to decrease significantly for
  659. % subpicosecond pulse separations. In our simulations, we use
  660. % $\delta{t} = 200\:f\!s$ pulse separation. The intensity
  661. % distributions near the silicon NP of $R = 95$ nm,
  662. % corresponding to maxima value of $K$ optimization factor, without
  663. % plasma and with generated plasma are shown in Fig. \ref{fig4}. The
  664. % intensity distribution is strongly asymmetric in the case of EHP
  665. % presence. One can note, that the excited NP is out of
  666. % quasi-resonant condition and the intensity enhancements in
  667. % Fig. \ref{fig4}(c) are weaker than in Fig. \ref{fig4}(b). Therefore,
  668. % the generated nanoplasma acts like a quasi-metallic nonconcentric
  669. % nanoshell inside the NP, providing a symmetry reduction
  670. % \cite{Wang2006}.
  671. % \begin{figure}[ht] \centering
  672. % \includegraphics[width=90mm]{fig4.png}
  673. % \caption{\label{fig4} a) Electron plasma distribution inside Si
  674. % NP $R \approx 95$ nm $50\:f\!s$ after the pulse peak;
  675. % (Kostya: Is it scattering field intensity snapshot $XXX\:f\!s$ after
  676. % the second pulse maxima passed the particle?) Intensity
  677. % distributions around and inside the NP b) without plasma,
  678. % c) with electron plasma inside.}
  679. % \end{figure}
  680. %\begin{figure} %\centering
  681. % \includegraphics[height=0.7\linewidth]{Si-flow-R140-XYZ-Eabs}
  682. % \caption{EHP distributions for nonres., MD, ED, and MQ NPs
  683. % at moderate photoexcitation. The aim is to show different possible
  684. % EHP patterns and how strong could be symmetry breaking.
  685. % \label{fgr:example}
  686. %\end{figure}
  687. %\subsection{Asymmetry analysis: effects of pulse duration, intensity
  688. % and size} It is important to optimize asymmetry by varying pulse
  689. % duration, intensity and size.
  690. \section{Conclusions} We have considered ultra-short and sufficiently
  691. intense light interactions with a single semiconductor nanoparticle
  692. under different irradiation conditions and for various particle
  693. sizes. As a result of the presented self-consistent calculations, we
  694. have obtained spatio-temporal EHP evolution inside the
  695. NPs and investigated the asymmetry of EHP distributions. % for different laser intensities. % and temporal pulse widths.
  696. %It has been demonstrated that the EHP generation strongly affects
  697. %NP scattering and, in particular, changes the preferable
  698. %scattering direction.
  699. Different pathways of EHP evolution from the front side to the back
  700. side have been revealed, depending on the NP sizes, and the
  701. origins of different behavior have been explained by the
  702. non-stationarity of the energy deposition and different quality
  703. resonant factors for exciting the electric and magnetic dipole
  704. resonances, intensity distribution by Mie theory and newly
  705. plasma-induced nonlinear effects. The effect of the strong broadband
  706. electric dipole resonance on the EHP asymmetric distribution during
  707. first optical cycles has been revealed for different size
  708. parameters. The higher EHP asymmetry is established for NPs
  709. of smaller sizes below the first magnetic dipole
  710. resonance. Essentially different EHP evolution and lower asymmetry is
  711. achieved for larger NPs due to the stationary intensity
  712. enhancement in the back side of the NP. The EHP densities
  713. above the critical value were shown to lead to the EHP distribution
  714. homogenization.
  715. % In particular, the scattering efficiency factor is used to define
  716. % the optimum NP size for preferential forward or backward
  717. % scattering. Furthermore, a parameter has been introduced to describe
  718. % the scattering asymmetry as a ratio of the EHP density in the front
  719. % side to that in the back side of the NP. This parameter
  720. % can be then used for two-dimensional scattering mapping, which is
  721. % particularly important in numerous photonics applications.
  722. The EHP asymmetry opens a wide range of applications in NP
  723. nanomashining/manipulation at nanoscale, in catalysis as well as numerous
  724. nano-bio-applications. The observed plasma-induced breaking symmetry
  725. can be also useful for beam steering, or for the enhanced second
  726. harmonics generation.
  727. \section{Acknowledgments}
  728. A. R. and T. E. I. gratefully acknowledge the CINES of CNRS for
  729. computer support. S. V. M. is thankful to ITMO Fellowship
  730. Program. This work was partially supported by Russian Foundation for
  731. Basic Researches (grants 17-03-00621, 17-02-00538, 16-29-05317).
  732. %%%END OF MAIN TEXT%%%
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