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