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  104. %%%TITLE, AUTHORS AND ABSTRACT%%%
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  110. \includegraphics{head_foot/DOI} & \noindent\LARGE{\textbf{Photo-generated Electron-Hole Plasma-Induced Symmetry Breaking in Spherical Silicon Nanoparticles}} \\%Article title goes here instead of the text "This is the title"
  111. \vspace{0.3cm} & \vspace{0.3cm} \\
  112. & \noindent\large{Anton Rudenko,$^{\ast}$\textit{$^{a}$} Konstantin Ladutenko,\textit{$^{b}$} Sergey Makarov\textit{$^{b}$} and Tatiana E. Itina\textit{$^{a}$$^{b}$}
  113. \textit{$^{a}$~Laboratoire Hubert Curien, UMR CNRS 5516, University of Lyon/UJM, 42000, Saint-Etienne, France }
  114. \textit{$^{b}$~ITMO University, Kronverksiy pr. 49, St. Petersburg, Russia}
  115. } \\%Author names go here instead of "Full name", etc.
  116. \includegraphics{head_foot/dates} & \noindent\normalsize {The concept
  117. of nonlinear all-dielectric nanophotonics based on high refractive
  118. index (e.g., silicon) nanoparticles supporting magnetic optical
  119. response has recently emerged as a powerful tool for ultrafast
  120. all-optical modulation at nanoscale. A strong modulation can be
  121. achieved via photo-generation of dense electron-hole plasma in the
  122. regime of simultaneous excitation of electric and magnetic optical
  123. resonances, resulting in an effective transient reconfiguration of
  124. nanoparticle scattering properties. Because only homogeneous plasma generation was previously considered in the photo-excited nanoparticle, a possibility of symmetry breaking, however, remain unexplored. To examine these effects, numerical modeling is performed. Based on the simulation results, we propose an original concept of a well-controlled deeply subwavelength
  125. ($\approx$$\lambda$$^3$/100) plasma-induced nanopatterning of
  126. spherical silicon nanoparticles. In particular, the revealed strong
  127. symmetry breaking in the initially symmetrical nanoparticle, which is observed during
  128. ultrafast photoexcitation near the magnetic dipole resonance, enables a considerable increase in the precision of laser-induced nanotreatment. Importantly, the proposed
  129. ultrafast manipulation of the nanoparticle inherent structure and symmetry
  130. paves a way to the novel principles that are also promising for nonlinear optical nanodevices.}
  131. \end{tabular}
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  133. ]%%%END OF TITLE, AUTHORS AND ABSTRACT%%%
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  137. %%%FOOTNOTES%%%
  138. \footnotetext{\textit{$^{a}$~Univ Lyon, UJM-St-Etienne, CNRS UMR 5516,
  139. F-42000, Saint-Etienne, France}} \footnotetext{\textit{$^{b}$~ITMO
  140. University, Kronverksiy pr. 49, St. Petersburg, Russia}}
  141. % Please use \dag to cite the ESI in the main text of the article.
  142. % If you article does not have ESI please remove the the \dag symbol
  143. % from the title and the footnotetext below.
  144. % \footnotetext{\dag~Electronic Supplementary Information (ESI)
  145. % available: [details of any supplementary information available
  146. % should be included here]. See DOI:10.1039/b000000x/} %additional
  147. % addresses can be cited as above using the lower-case letters, c, d,
  148. % e... If all authors are from the same address, no letter is required
  149. % \footnotetext{\ddag~Additional footnotes to the title and authors can
  150. % be included \emph{e.g.}\ `Present address:' or `These authors
  151. % contributed equally to this work' as above using the symbols: \ddag,
  152. % \textsection, and \P. Please place the appropriate symbol next to the
  153. % author's name and include a \texttt{\textbackslash footnotetext} entry
  154. % in the the correct place in the list.}
  155. %%%END OF FOOTNOTES%%%
  156. %%%MAIN TEXT%%%%
  157. \section{Introduction}
  158. All-dielectric nonlinear nanophotonics based on high refractive index
  159. dielectric has become prospective paradigm in modern optics, owing to
  160. recent advances in harmonics generation~\cite{shcherbakov2014enhanced,
  161. yang2015nonlinear, makarov2016self, shorokhov2016multifold} and
  162. ultrafast all-optical modulation~\cite{iyer2015reconfigurable,
  163. makarov2015tuning, shcherbakov2015ultrafast, yang2015nonlinear,
  164. baranov2016nonlinear, baranov2016tuning}. In fact, all-dielectric
  165. nanoantennas and metasurfaces possess much smaller parasitic Joule
  166. losses at high intensities as compared with their plasmonic
  167. counterparts, whereas their nonlinear properties are comparable. More
  168. importantly, the unique properties of the nonlinear all-dielectric
  169. nanodevices are due to existing of both electric and magnetic optical
  170. resonances in visible and near IR
  171. ranges~\cite{kuznetsov2016optically}. For instance, even slight
  172. variation of dielectric permittivity around magnetic dipole resonance
  173. leads to significant changes of optical properties (transmittance or
  174. reflectance) of all-dielectric nanoantennas~\cite{makarov2015tuning,
  175. baranov2016nonlinear, baranov2016tuning} and
  176. metasurfaces~\cite{iyer2015reconfigurable, shcherbakov2015ultrafast,
  177. yang2015nonlinear}.
  178. In these works on all-dielectric nonlinear nanostructures, the
  179. building blocks (nanoparticles) were considered as objects with
  180. dielectric permittivity homogeneously distributed over
  181. nanoparticle. Therefore, in order to manipulate the propagation angle
  182. of the transmitted light it is necessary to use complicated nanostructures
  183. with reduced symmetry~\cite{albella2015switchable, baranov2016tuning,
  184. shibanuma2016unidirectional}.
  185. \begin{figure}[t] \centering
  186. \includegraphics[width=0.75\linewidth]{Concept}
  187. \caption{Schematic illustration of electron-hole plasma 2D and 1D
  188. distributions in silicon nanoparticle around a magnetic resonance.}
  189. \label{fgr:concept}
  190. \end{figure}
  191. Recently, plasma explosion imaging technique has been used to observe electron-hole plasmas (EHP), produced by femtosecond lasers, inside nanoparticles \cite{Hickstein2014}. Particularly, a strongly localized EHP in the front side of NaCl nanocrystals of $R = 100$ nm was revealed. The forward ejection of ions in this case was attributed to a nanolensing effect inside the nanoparticle and the intensity enhancement as low as $10\%$ on the far side of the nanoparticle. Much stronger enhancements can be achived near electric and magnetic dipole resonances excited in single semiconductor nanoparticles, such as silicon (Si), germanium (Ge) etc. Interestingly, inhomogeneous resonant scattering patterns have been experimentally revealed inside a single silicon nanoparticle \cite{Valuckas2017}.
  192. In this Letter, we show that ultra-short laser-based EHP photo-excitation in
  193. a spherical semiconductor (e.g., silicon) nanoparticle leads to a strongly
  194. inhomogeneous carrier distribution. To reveal and study this effect, we
  195. perform a full-wave numerical simulation of the intense
  196. femtosecond ($\,f\!s$) laser pulse interaction with a silicon
  197. nanoparticle supporting Mie resonances and two-photon free carrier generation. In particular, we couple finite-difference time-domain (FDTD)
  198. method used to solve Maxwell equations with kinetic equations describing
  199. nonlinear EHP generation. Three-dimensional transient variation of the material dielectric permittivity is calculated for nanoparticles of several sizes. The obtained results propose a novel strategy to create
  200. complicated non-symmetrical nanostructures by using photo-excited
  201. single spherical silicon nanoparticles. Moreover, we show that a dense EHP can
  202. be generated at deeply subwavelength scale
  203. ($\approx$$\lambda$$^3$/100) supporting the formation of small metalized
  204. parts inside the nanoparticle. In fact, such effects transform an all-dielectric
  205. nanoparticle to a hybrid one strongly extending functionality of the ultrafast
  206. optical nanoantennas.
  207. %Plan:
  208. %\begin{itemize}
  209. %\item Fig.1: Beautiful conceptual picture
  210. %\item Fig.2: Temporal evolution of EHP in NP with different diameters
  211. %at fixed intensity, in order to show that we have the highest
  212. %asymmetry around magnetic dipole (MD) resonance. This would be really
  213. %nice!
  214. %\item Fig.3: Temporal evolution of EHP in NP with fixed diameter (at
  215. %MD) at different intensities, in order to show possible regimes of
  216. %plasma-patterning of NP volume. It would be nice, if we will show
  217. %power patterns decencies on intensity for side probe pulse to show beam steering due to symmetry breaking.
  218. %\item Fig.4: (a) Dependence on pulse duration is also interesting. We
  219. %have to show at which duration the asymmetry factor is saturated. (b)
  220. %2D map of asymmetry factor in false colors, where x-axis and y-axis correspond to intensity and NP diameter.
  221. %\end{itemize} %Additionally, if you will manage to calculate
  222. %evolution of scattering power pattern and show considerable effect of
  223. % beam steering, we can try Nanoscale or LPR, because the novelty will
  224. % be very high.
  225. \section{Modeling details}
  226. We focus attention on silicon because this material is promising
  227. for the implementation of numerous nonlinear photonic devices. This advantage is based on a broad
  228. range of optical nonlinearities, strong two-photon absorption, as well as a possibility of the photo-induced EHP
  229. excitation~\cite{leuthold2010nonlinear}. Furthermore, silicon
  230. nanoantennas demonstrate a sufficiently high damage threshold due to
  231. the large melting temperature ($\approx$1690~K), whereas its nonlinear
  232. optical properties have been extensively studied during last
  233. decays~\cite{Van1987, Sokolowski2000, leuthold2010nonlinear}. High silicon melting point typically preserves structures formed from this material up to the EHP densities on the order of the critical value $n_{cr} \approx 5\cdot{10}^{21}$ cm$^{-3}$ \cite{Korfiatis2007}. At the critical density and above, silicon acquires metallic properties ($Re(\epsilon) < 0$) and contributes to the EHP reconfiguration during ultrashort laser irradiation.
  234. The process of three-dimensional photo-generation of the EHP in silicon
  235. nanoparticles has not been modeled before in time-domain. Therefore, herein we propose a model considering ultrashort laser interactions with a resonant silicon
  236. sphere, where the EHP is generated via one- and two-photon absorption
  237. processes. Importantly, we
  238. also consider nonlinear feedback of the material by taking into
  239. account the intraband light absorption on the generated free carriers. To simplify our model, we neglect free carrier diffusion at the considered short time scales. In fact, the aim of the present work is to study the EHP dynamics \textit{during} ultra-short laser interaction with the nanoparticle. The created electron-hole plasma then will recombine, however, as its existence modifies both laser-particle interaction and, hence, the following particle evolution.
  240. \subsection{Light propagation}
  241. Ultra-short laser interaction and light propagation inside the silicon nanoparticle are modeled by solving the system of Maxwell's equations written in the following way
  242. \begin{align} \begin{cases} \label{Maxwell}$$
  243. \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})} \\
  244. \displaystyle{\frac{\partial{\vec{H}}}{\partial{t}}=-\frac{\nabla\times\vec{E}}{\mu_0}},
  245. $$ \end{cases} \end{align}
  246. where $\vec{E}$ is the electric field, $\vec{H}$ is the magnetizing field, $\epsilon_0$ is the free space permittivity, $\mu_0$ is the permeability of free space, $\epsilon = n^2 = 3.681^2$ is the permittivity of non-excited silicon at $800$ nm wavelength \cite{Green1995}, $\vec{J}_p$ and $\vec{J}_{Kerr}$ are the nonlinear currents, which include the contribution due to Kerr effect $\vec{J}_{Kerr} = \epsilon_0\epsilon_\infty\chi_3\frac{\partial\left(\left|\vec{E}\right|^2\vec{E}\right)}{\partial{t}}$, where $\chi_3 =4\cdot{10}^{-20}$ m$^2$/V$^2$ for laser wavelength $\lambda = 800$nm \cite{Bristow2007}, and heating of the conduction band, described by the differential equation derived from the Drude model
  247. \begin{equation} \label{Drude} \displaystyle{\frac{\partial{\vec{J_p}}}{\partial{t}} = - \nu_e\vec{J_p} + \frac{e^2n_e(t)}{m_e^*}\vec{E}}, \end{equation}
  248. where $e$ is the elementary charge, $m_e^* = 0.18m_e$ is the reduced electron-hole mass \cite{Sokolowski2000}, $n_e(t)$ is the time-dependent free carrier density and $\nu_e = 10^{15}$ s$^{-1}$ is the electron collision frequency \cite{Sokolowski2000}. Silicon nanoparticle is surrounded by vacuum, where the light propagation is calculated by Maxwell's equations with $\vec{J} = 0$ and $\epsilon = 1$. The system of Maxwell's equations coupled with electron density equation is solved by the finite-difference numerical method \cite{Rudenko2016}, based on the finite-difference time-domain (FDTD) \cite{Yee1966} and auxiliary-differential methods for dispersive media \cite{Taflove1995}. At the edges of the grid, we apply the absorbing boundary conditions related to convolutional perfectly matched layers (CPML) to avoid nonphysical reflections \cite{Roden2000}. The initial electric field is introduced as a Gaussian slightly focused beam as follows
  249. \begin{align}
  250. \begin{aligned}
  251. \label{Gaussian}
  252. {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)\\
  253. \times\;{exp}\left(-\frac{(t-t_0)^2}{\theta^2}\right),
  254. \end{aligned}
  255. \end{align}
  256. where $\theta$ is the temporal pulse width at the half maximum (FWHM), $t_0$ is a time delay, $w_0 = 3{\mu}m$ is the waist beam, $w(z) = {w_0}\sqrt{1+(\frac{z}{z_R})^2}$ is the Gaussian's beam spot size, $\omega = 2{\pi}c/{\lambda}$ is the angular frequency, $\lambda = 800 nm$ is the laser wavelength in air, $c$ is the speed of light, ${z_R} = \frac{\pi{{w_0}^2}n_0}{\lambda}$ is the Rayleigh length, $r = \sqrt{x^2 + y^2}$ is the radial distance from the beam's waist, $R_z = z\left(1+(\frac{z_R}{z})^2\right)$ is the radius of curvature of the wavelength comprising the beam, and $\varsigma(z) = {\arctan}(\frac{z}{z_R}) $ is the Gouy phase shift.
  257. \subsection{Material ionization}
  258. To account for the material ionization that is induced by a sufficiently intense laser field inside the particle, we couple Maxwell's equations with the kinetic equation for the electron-hole plasma as described below.
  259. % \begin{figure*}[ht!]
  260. % \centering
  261. % \includegraphics[width=120mm]{fig2.png}
  262. % \caption{\label{fig2} Free carrier density snapshots of electron plasma evolution inside Si nanoparticle 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 nanoparticle $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 nanoparticle. $n_{cr} = 5\cdot{10}^{21}$ cm$^{-3}$ is the critical plasma resonance electron density for silicon.}
  263. % \end{figure*}
  264. The time-dependent conduction-band carrier density evolution is described by a rate equation that was proposed by van Driel \cite{Van1987}. This equation takes into account such processes as photoionization, avalanche ionization and Auger recombination, and is written as
  265. \begin{equation} \label{Dens} \displaystyle{\frac{\partial{n_e}}{\partial t} = \frac{n_a-n_e}{n_a}\left(\frac{\sigma_1I}{\hbar\omega} + \frac{\sigma_2I^2}{2\hbar\omega}\right) + \alpha{I}n_e - \frac{C\cdot{n_e}^3}{C\tau_{rec}n_e^2+1},} \end{equation}
  266. where $I=\frac{n}{2}\sqrt{\frac{\epsilon_0}{\mu_0}}\left|\vec{E}\right|^2$ is the intensity, $\sigma_1 = 1.021\cdot{10}^3 cm^{-1}$ and $\sigma_2 = 0.1\cdot{10}^{-7}$ cm/W are the one-photon and two-photon interband cross-sections \cite{Choi2002, Bristow2007, Derrien2013}, $n_a = 5\cdot{10}^{22} cm^{-3}$ is the saturation particle density \cite{Derrien2013}, $C = 3.8\cdot{10}^{-31}$ cm$^6$/s is the Auger recombination rate \cite{Van1987}, $\tau_{rec} = 6\cdot{10}^{-12}$s is the minimum Auger recombination time \cite{Yoffa1980}, and $\alpha = 21.2$ cm$^2$/J is the avalanche ionization coefficient \cite{Pronko1998} at the wavelength $800$ nm in air. As we have noted, free carrier diffusion is neglected during and shortly after the laser excitation \cite{Van1987, Sokolowski2000}.
  267. \begin{figure}[ht!]
  268. \centering
  269. \includegraphics[width=0.495\textwidth]{mie-fdtd-3}
  270. \caption{\label{mie-fdtd} Mie and FDTD comparison. (c-f) Incident light propagates from the left to the right.}
  271. \end{figure}
  272. \begin{figure*}[ht!] \label{EHP}
  273. \centering
  274. \begin{tabular*}{0.76\textwidth}{ c@{\extracolsep{\fill}} c@{\extracolsep{\fill}} c@{\extracolsep{\fill}} c@{\extracolsep{\fill}} c}
  275. $-80\:f\!s$&$-60\:f\!s$&$-30\:f\!s$&$ -20\:f\!s$&$ -10\:f\!s$\\
  276. \end{tabular*}
  277. {\setlength\topsep{-1pt}
  278. \begin{flushleft}
  279. $R=75$~nm
  280. \end{flushleft}}
  281. \includegraphics[width=0.9\textwidth]{2nm_75}
  282. {\setlength\topsep{-1pt}
  283. \begin{flushleft}
  284. $R=100$~nm
  285. \end{flushleft}}
  286. \includegraphics[width=0.9\textwidth]{2nm_100}
  287. {\setlength\topsep{-1pt}
  288. \begin{flushleft}
  289. $R=115$~nm
  290. \end{flushleft}}
  291. \includegraphics[width=0.9\textwidth]{2nm_115}
  292. \caption{\label{plasma-105nm} Evolution of electron density $n_e$ (using $10^{\,20} \ {\rm cm}^{-3}$ units) for (a$\,$--$\,$e)~$R=75$~nm, (f$\,$--$\,$j$\,$)~$R=100$~nm, and ($\,$k$\,$--$\,$o)~$R=115$~nm. Gaussian pulse duration $80\:f\!s$, snapshots are taken before the pulse maxima, the corresponding time-shifts are shown in the top of each column. Laser irradiation fluences are (a-e) $0.12$ J/cm$^2$, (f-o) $0.16$ J/cm$^2$.}
  293. \end{figure*}
  294. The changes of the real and imaginary parts of the permittivity associated with the time-dependent free carrier response \cite{Sokolowski2000} can be derived from equations (\ref{Maxwell}, \ref{Drude}) and are written as follows
  295. \begin{align} \begin{cases} \label{Index} $$
  296. \displaystyle{Re(\epsilon) = \epsilon -\frac{{e^2}n_e}{\epsilon_0m_e^*(\omega^2+{\nu_e}^2)}} \\
  297. \displaystyle{Im(\epsilon) = \frac{{e^2}n_e\nu_e}{\epsilon_0m_e^*\omega(\omega^2+{\nu_e}^2)}.}
  298. $$ \end{cases} \end{align}
  299. \section{Results and discussion}
  300. %\subsection{Effect of the irradiation intensity on EHP generation}
  301. Firstly, we analyze the intensity distribution inside the non-excited Si nanoparticle as a function of its size for a fixed laser wavelength $\lambda = 800$ nm.
  302. We introduce $G$ factor of asymmetry, corresponding to ratio between the energy deposited in the front side of the nanoparticle to the energy in the back side. Fig. \ref{mie-fdtd}(b) shows the $G$ factor as a function of the nanoparticle size. For the nanoparticles of sizes below the first magnetic dipole resonance, the intensity is enhanced in the front side as in Fig. \ref{mie-fdtd}(c) and $G > 0$. The behavior changes near the size resonance value, corresponding to $R \approx 105$ nm. In contrast, for larger sizes, the intensity is enhanced in the back side of the nanoparticle as demonstrated in Fig. \ref{mie-fdtd}(d). In fact, the similar EHP distributions can be obtained by applying Maxwell's equations coupled with the rate equation for weak excitation $n_e \approx 10^{20}$ cm$^{-3}$ and low intensities $I \approx 10^{12}$ W/cm$^2$. The optical properties do not change considerably due to excitation according to (\ref{Index}). Therefore, the excitation processes follow the intensity distribution.
  303. %Fig. \ref{Mie} demonstrates the temporal evolution of the EHP generated inside the silicon nanoparticle of $R \approx 105$ nm. Here, irradiation by high-intensity, $I\approx $ from XXX to YYY (???), ultrashort laser Gaussian pulse is considered. Snapshots of free carrier density taken at different times correspond to different total amount of the deposited energy (different laser intensities).
  304. %To better analyze the degree of inhomogeneity, we introduce the EHP asymmetry parameter, $G$, which is defined as a relation between the average electron density generated in the front side of the nanoparticle and the average electron density in the back side, as shown in Fig. \ref{fig2}. During the femtosecond pulse interaction, this parameter significantly varies.
  305. In what follows, we present the calculation results obtained by using Maxwell's equations coupled with electron kinetics for different radii for resonant and non-resonant conditions and for stronger excitation. In this case, we demonstrate that the geometry of the EHP distribution can strongly deviate from the intensity distribution given by Mie theory.
  306. Far before the pulse peak shown in Fig. \ref{EHP}(a, e, i), the excitation
  307. processes follow the intensity distribution, generating a low-density
  308. electron plasma of a toroidal shape at magnetic dipole resonance
  309. conditions. For higher intensities, the optical properties of silicon
  310. change significantly according to the equations (\ref{Index}). As a result, the non-resonant electric dipole contributes to the forward shifting of EHP
  311. density maximum. Therefore, EHP is localized in the front part of the
  312. nanoparticle, increasing the asymmetry factor $G$ in Fig. \ref{EHP}. Approximately at the pulse peak, the critical electron density $n_{cr} = 5\cdot{10}^{21} cm^{-3}$ for silicon, which
  313. corresponds to the transition to quasi-metallic state $Re(\epsilon)
  314. \approx 0$ and to the electron plasma resonance (so-called "volume plasmons", and/or "localized plasmons" typical for metallic nanoparticles !??) \cite{Sokolowski2000}, is overcome.
  315. At the same time, $G$ factor reaches the maximum value close to $2.5$ in Fig. \ref{fig2}(c). Further irradiation leads to a decrease in the asymmetry parameter down to $1$ for higher electron densities, as one may observe in
  316. Fig. \ref{EHP}(e, i, o).
  317. It is worth noting that it is possible to achieve a formation of
  318. deeply subwavelength EHP regions due to high field localization. In
  319. particular, we observe very small EHP localization at magnetic dipole
  320. resonant conditions for $R \approx 105$ nm. The EHP distribution in Fig. \ref{EHP}(d) is optimal for symmetry breaking in silicon nanoparticle, as it results in the larger asymmetry factor $G$ and higher electron densities $n_e$. We stress here that such regime could be still safe for nanoparticle due to the very small volume where such high EHP density is formed.
  321. %\subsection{Effects of nanoparticle size and scattering efficiency factor on scattering directions}
  322. % \begin{figure}[ht] \centering
  323. % \includegraphics[width=90mm]{fig3.png}
  324. % \caption{\label{fig3} a) Scattering efficiency factor $Q_{sca}$
  325. % dependence on the radius $R$ of non-excited silicon nanoparticle
  326. % calculated by Mie theory; b) Parameter of forward/backward scattering
  327. % dependence on the radius $R$ calculated by Mie theory for non-excited
  328. % silicon nanoparticle c) Optimization parameter $K$ dependence on the
  329. % average electron density $n_e^{front}$ in the front half of the
  330. % nanoparticle for indicated radii (1-7).}
  331. % \end{figure}
  332. %We have discussed the EHP kinetics for a silicon nanoparticle of a fixed radius $R \approx 105$ nm. In what follows, we investigate the influence of the nanoparticle size on the EHP patterns and temporal evolution during ultrashort laser irradiation. A brief analysis of the initial intensity distribution inside the nanoparticle given by the classical Mie theory for homogeneous spherical particles \cite{Mie1908} can be useful in this case. Fig. \ref{fig3}(a, b) shows the scattering efficiency and the asymmetry parameter for forward/backward scattering for non-excited silicon nanoparticles of different radii calculated by Mie theory \cite{Mie1908}. Scattering efficiency dependence gives us the value of resonant sizes of nanoparticles, where the initial electric fields are significantly enhanced and, therefore, we can expect that the following conditions will result in a stronger electron density gradients. Additionally, in the case of maximum forward or backward scattering, the initial intensity distribution has the maximum of asymmetry. One can note, that for $R \approx 100$ nm and $R \approx 150$ nm both criteria are fulfilled: the intensity is enhanced $5-10$ times due to near-resonance conditions and its distribution has a strong asymmetry.
  333. %In what follows, we present the calculation results obtained by using Maxwell's equations coupled with electron kinetics for different extremum radii for resonant and non-resonant conditions. One can note, that the maximum asymmetry factor of EHP $G$ does not guarantee the optimal asymmetry of intensity distribution, as the size of generated plasma and the value of the electron density equally contribute to the change of the modified nanoparticle optical response. For example, it is easier to localize high electron densities inside smaller nanoparticles, however, due to the negligible size of the generated EHP with respect to laser wavelength in media, the intensity distribution around the nanoparticle will not change considerably. Therefore, we propose to introduce the optimization factor $K = \frac{n_e(G-1)R^2}{n_{cr}G{R_0^2}}$, where $R_0 = 100$ nm, $n_{cr} = 5\cdot{10}^{21} cm^{-3}$, and $G$ is asymmetry of EHP, defined previously. The calculation results for different radii of silicon nanoparticles and electron densities are presented in Fig. \ref{fig3}(c). One can see, that the maximum value are achieved for the nanoparticles, that satisfy both initial maximum forward scattering and not far from the first resonant condition. For larger nanoparticles, lower values of EHP asymmetry factor are obtained, as the electron density evolves not only from the intensity patterns in the front side of the nanoparticle but also in the back side.
  334. TODO:
  335. Need to discuss agreement/differences between Mie and FDTD+rate. Anton ?!
  336. %To demonstrate the effect of symmetry breaking, we calculate the intensity distribution around the nanoparticle for double-pulse experiment. The first pulse of larger pulse energy and polarization along $Ox$ generates asymmetric EHP inside silicon nanoparticle, whereas the second pulse of lower pulse energy and polarization $Oz$ interacts with EHP after the first pulse is gone. The minimum relaxation time of high electron density in silicon is $\tau_{rec} = 6\cdot{10}^{-12}$ s \cite{Yoffa1980}, therefore, the electron density will not have time to decrease significantly for subpicosecond pulse separations. In our simulations, we use $\delta{t} = 200\:f\!s$ pulse separation. The intensity distributions near the silicon nanoparticle of $R = 95$ nm, corresponding to maxima value of $K$ optimization factor, without plasma and with generated plasma are shown in Fig. \ref{fig4}. The intensity distribution is strongly asymmetric in the case of EHP presence. One can note, that the excited nanoparticle is out of quasi-resonant condition and the intensity enhancements in Fig. \ref{fig4}(c) are weaker than in Fig. \ref{fig4}(b). Therefore, the generated nanoplasma acts like a quasi-metallic nonconcentric nanoshell inside the nanoparticle, providing a symmetry reduction \cite{Wang2006}.
  337. % \begin{figure}[ht] \centering
  338. % \includegraphics[width=90mm]{fig4.png}
  339. % \caption{\label{fig4} a) Electron plasma distribution inside Si
  340. % nanoparticle $R \approx 95$ nm $50\:f\!s$ after the pulse peak; (Kostya: Is it scattering field intensity snapshot $XXX\:f\!s$ after the second pulse maxima passed the particle?) Intensity
  341. % distributions around and inside the nanoparticle b) without plasma, c)
  342. % with electron plasma inside.}
  343. % \end{figure}
  344. %\begin{figure} %\centering
  345. % \includegraphics[height=0.7\linewidth]{Si-flow-R140-XYZ-Eabs}
  346. % \caption{EHP distributions for nonres., MD, ED, and MQ nanoparticles
  347. % at moderate photoexcitation. The aim is to show different possible
  348. % EHP patterns and how strong could be symmetry breaking.
  349. % \label{fgr:example}
  350. %\end{figure}
  351. %\subsection{Asymmetry analysis: effects of pulse duration, intensity and size} It is important to optimize asymmetry by varying pulse duration, intensity and size.
  352. TODO Kostya: add some discusion on rise-on time for optical switching
  353. like this: Small size will give as a magnetic dipole b1 resonance with
  354. Q-factor (ratio of wavelength to the resonance width at half-height)
  355. of about 8, a1 Q approx 4, the larger particle will have b2 Q approx
  356. 40. For large particle we will have e.g. at R=238.4 second order b4
  357. resonance with Q approx 800. As soon as the period at WL=800nm is $2.6\:f\!s$, we need about $25\:f\!s$ pulse to pump dipole response, about $150\:f\!s$
  358. for quadrupole, and about $2000\:f\!s$ for b4. If we think of optical
  359. switching applications this is a rise-on time.
  360. TODO Kostya: Add discussion about mode selection due to the formation
  361. of the plasma.
  362. \section{Conclusions} We have considered ultra-short and sufficiently intense light interactions with a single
  363. semiconductor nanoparticle under different irradiation conditions and
  364. for various particle sizes. As a result of the presented
  365. self-consistent calculations, we have obtained spatio-temporal EHP
  366. evolution inside the nanoparticle. % for different laser intensities. % and temporal pulse widths.
  367. It has been demonstrated that the EHP generation strongly affects
  368. nanoparticle scattering and, in particular, changes the preferable
  369. scattering direction. Different pathways of EHP evolution from the front side to the back side have been revealed, depending on the nanoparticle sizes, and the origin of different behavior has been explained by Mie theory. The higher EHP asymmetry is established for nanoparticles of smaller sizes below the first magnetic dipole resonance. Essentially different EHP evolution and lower asymmetry is achieved for larger nanoparticles due to the initial intensity enhancement in the back side of the nanoparticle.
  370. %In particular, the scattering efficiency factor is used to define the optimum nanoparticle size for preferential forward or backward scattering. Furthermore, a parameter has been introduced to describe the scattering asymmetry as a ratio of the EHP density in the front side to that in the back side of the nanoparticle. This parameter can be then used for two-dimensional scattering mapping, which is particularly important in numerous photonics applications.
  371. The EHP asymmetry opens a wide range of applications in nanoparticle nanomashining/manipulation at nanoscale, catalysis as well as nano-bio-applications.
  372. The observed plasma-induced breaking symmetry can be also useful for beam steering, or for the enhanced second
  373. harmonics generation.
  374. \section{Acknowledgments} We gratefully acknowledge support from The French
  375. Ministry of Science and Education, from the French Center of Scientific Research (CNRS) and from the PHC Kolmogorov project "FORMALAS".
  376. %%%END OF MAIN TEXT%%%
  377. %The \balance command can be used to balance the columns on the final
  378. %page if desired. It should be placed anywhere within the first column
  379. %of the last page.
  380. %\balance
  381. %If notes are included in your references you can change the title
  382. % from 'References' to 'Notes and references' using the following
  383. % command:
  384. % \renewcommand\refname{Notes and references}
  385. %%%REFERENCES%%%
  386. \bibliography{References.bib} %You need to replace "rsc" on this line
  387. %with the name of your .bib file
  388. \bibliographystyle{rsc} %the RSC's .bst file
  389. \end{document}