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Plasmon Resonance in Photoabsorption of Colloidal Highly Doped ZnO Nanocrystals


A new type of dipole plasmon excitations in colloidal highly doped ZnO nanocrystals has been studied by means of many-body quantum mechanical approach. We demonstrate that in photodoped ZnO nanocrystals, the conduction band electrons are localized close to the surface and the plasmon oscillations are induced by their angular motion. The transition of this plasmon mode from classical to quantum regime is defined by the nanocrystal size. The size dependence of the resonance frequency which results from quantum effects is in remarkable agreement with experimental observations.


To a large extent, optical properties of nanoparticles are determined by the presence of localized surface plasmon resonances (LSPR) in their excitation spectra [18]. Kriegel et al. [2] published a quite detailed overview of emerging colloidal nanocrystals (NCs), including impurity-doped metal oxide NCs, copper chalcogenide NCs, and degenerately doped semiconductor NCs, and extensively discussed their optical properties as well as applications for sensing, near-field enhancing spectroscopy, tunable optoelectronic devices, or biomedical applications. All these new materials are an alternative to noble metal NCs which have been extensively studied over the last decades; for a comprehensive review, see also Ref. [9]. It has been shown that it is possible to tune the optical response of heavily doped semiconductor nanocrystals (NCs) down to the IR range [1015], by acting on various control parameters [11, 13, 1620], thus opening new perspectives for nanophotonics. The main advantage of semiconductor NCs is that the carrier density can be tuned over a wide interval. Whereas a metallic conductor has a fixed electron density, a semiconductor can be doped to achieve arbitrary carrier densities in a range of 1016÷1022cm−3 [10, 13, 21, 22]. Carrier doping allows access to tunable LSPR in a wide frequency range from the THz to IR and visible region [13]. Such a carrier density tunability is a unique property of semiconductor nanoparticles and cannot be achieved using metallic droplets [2325]. Doping can be done by incorporating various types of impurities into the crystal lattice [7, 10, 18], and the plasmon resonance frequency can be tuned or switched by active control of carriers [13, 1618, 21, 22]. Moreover, the plasmon frequency and its line shape depends not only on the NC’s carrier density but on the type of doping, which can be “bulk-like” or “surface-like” [15, 22]. In the former case, the charge of free carriers is neutralized by the charge of doping impurities all over the NC volume, while in the latter case, the free carriers are injected into the NC volume by donors/acceptors from the surrounding media located at the NC interface.

Theoretical studies of the optical response of semiconductor nanoparticles have revealed significant differences between quantum mechanical and classical descriptions [5, 22, 24, 26]. As the nanoparticle size decreases, the plasmon resonance shifts to higher energies with visible deviation from classical predictions [5, 21, 22]. Moreover, the dynamic properties of highly doped NCs undergo a transition from the size-quantization regime to the classical regime of plasmon oscillations [22]. It can be observed by varying either the number of carriers or the NC size.

In this work, we present a theoretical analysis of the optical response of photodoped ZnO NCs such as experimentally investigated in Ref. [21, 27]. In these experimental studies, the photoabsorption cross sections of colloidal ZnO NC of fixed sizes and carrier densities were measured. The conduction band photoelectrons were generated in ZnO NC by photodoping process, while the holes were trapped by the hole scavenging centers in surrounding toluene. The mean conducting electron concentration ne in almost spherical photodoped nanocrystals of different radii (from 1.75 to 6 nm) was found to reach an upper limit of (1.4±0.4)×1020cm−3 [21, 27]. The intraband absorbance was measured in the range of 0.2 to 1.0 eV, and significant differences with the classical Drude model prediction were observed. The authors showed that a quantum mechanical approach based on single-particle transitions yielded the experimental size dependence of the resonance frequency only qualitatively [21].

The aim of this article is to revisit the theoretical approach of plasmon resonances in photodoped ZnO NCs by going beyond the non-interacting single-particle approximation [21, 27]. It is based on the self-consistent many-body quantum mechanical treatment of conduction electrons within the random phase approximation (RPA) with local exchange [28]. It was shown that free charge carriers in semiconductor nanoparticles form atomic-like shells [29, 30]. We solve the local density approximation (LDA) Kohn-Sham equations to describe the electron shell structure. The electron correlations responsible for the collective plasmon excitations are taken into account within the RPA. We show that the plasmon resonance in ZnO NC differs substantially from the well known Mie resonance in metallic droplets. At variance with bulk-like doped NCs, there is no restoring positive charge in surface-like doped ZnO NC. Consequently, the Coulomb repulsion between free electrons push them close to the NC surface. In turn, this specific electronic configuration leads to a dipole mode, where only the angular degrees of freedom are excited, while the electronic radial motion is not involved. Contrary to the ordinary Mie surface dipole plasmon where electrons undergo pure translational oscillations, electrons in highly doped ZnO NCs undergo tangential vibrations within the rather thin electronic shell in a manner similar to the plasmon oscillations in fullerene molecules [31]. We also show that the transition of this plasmon mode from the classical to quantum confinement regime is governed by the ratio of the NC size to the effective Bohr radius and does not depend on the numbers of free electrons. The quantum effects in plasmon oscillations result in a blue shift of the dipole resonance frequency that nicely agrees with the experimentally observed LSPR size dependence [21].


The aim of the study is the theoretical analysis of optical properties of photodoped ZnO nanocrystals. The ground state configurations of the systems with varying numbers of particles were calculated within the local density approximation. The ground state wave functions are single-particle energies which were obtained by self-consistent numerical solving of the set of Kohn-Sham equations [32]. The complete basis of the single-particle states was generated using the the B-spline method [33] by expanding the basis functions in a cavity of large radius over a finite number of B-splines. The cavity radius was chosen equal to the NC radius. The desired accuracy of the computations with the use of the B-spline discrete basis was achieved by the appropriate choice of the number and the order of the B-splines used in the computation. We have used 50 B-splines of the order 7 to achieve sufficient accuracy (10−5) of the results. The standard subroutine RG from the eigensystem subroutine package (EISPACK) has been used for the obtaining of the eigenvalues and the eigenvectors of the RPA matrix equation [28], which solution provides us the set of dipole excitation energies and corresponding oscillator strengths. The photoabsorption spectrum has been obtained by the broadening of the calculated oscillation strength distribution by Lorentzian profiles with the fixed folding width.

Results and Discussion

Ground State Structure

We consider the system of N conduction band electrons localized within the ZnO NC of radius R. Following [21], we assume that the number of electrons varies with NC size as N=4πneR3/3, where the fixed mean electron concentration, ne = 1.4×1020 cm −3, is determined by the highest achievable level in the photodoping process. The radius of the considered NCs ranges from 2.4 to 6 nm; accordingly, the number of conduction electrons, N, vary from 8 to 128.

We employ the envelope function approximation to describe the electron motion assuming that R is much larger than the lattice constant. It is known that the electronic band structure of bulk ZnO is characterized by a non isotropic and non parabolic energy spectrum [34]. However, for the current problem of collective dynamics of N delocalized electrons, we will neglect these small energy spectrum effects and consider an isotropic parabolic energy dispersion with effective mass \(m_{e}^{*}=0.3~m_{e}\) [34]. For the same reason, we consider the ZnO NCs as spherical systems.

As the electrons are strongly localized within the ZnO NC volume due to the high conduction band offset at the NC interface [6], we impose all electron wave functions to vanish at the NC border r=R. Thus, we consider N interacting electrons localized within an infinite spherical well which overall charge neutrality is ensured by a positive charge surface distribution that does not create any field inside the NC. The effective Hamiltonian of the considered system is simply:

$$ \hat{H} = \sum\limits_{a} \frac{\hat{\mathbf{p}}^{2}_{a}}{2 m_{e}^{*}}+ \frac{1}{2}\sum\limits_{a,b}V\left(\mathbf{r}_{a},\mathbf{r}_{b} \right), $$

where V(ra,rb) stands for the pair electron Coulomb interaction. Its explicit expression, accounting for the polarization of ZnO material and the surrounding media, is written as a multipole expansion [3],

$$ \begin{aligned} &V\left(\mathbf{r}_{a},\mathbf{r}_{b} \right) = \sum\limits_{L,M} \frac{4\pi V_{L}}{2L+1} Y_{L M}(\mathbf{n}_{a})Y^{*}_{L M}(\mathbf{n}_{b}), \\ &V_{L} = \frac{e^{2}}{\varepsilon_{i}}\left(\frac{r^{L}_<}{ r^{L+1}_>}+ \frac{\left(\varepsilon_{i}-\varepsilon_{m}\right)\left(L+1\right)\left(r_{a} r_{b}\right)^{L}}{\left(L\varepsilon_{i}+(L+1)\varepsilon_{m}\right) R^{2L+1}} \right), \end{aligned} $$

where r< and r> are the smallest and largest of the two radial positions, respectively. ZnO and toluene dielectric constants are assigned their bulk values εi=3.7 and εm=2.25 [21], respectively. With these parameters, the effective Bohr radius \(a_{0}=\hbar ^{2} \varepsilon _{i}/m_{e}^{*} e^{2} = 0.65\) nm is smaller than the NC radius.

The single-particle electron energies, εi, and envelope wave functions ψi satisfy the set of LDA Kohn-Sham equations,

$$ \left[\frac {\hat{\mathbf{p}}^{2}}{2 m_{e}^{*}}+ V_{mf}(\mathbf{r})\right]~ \psi_{i}(\mathbf{r}) = \epsilon_{i} \psi_{i}(\mathbf{r}), $$

where the mean field potential Vmf is given by the sum of direct, VD(r), and exchange, Vx(r), parts,

$$ \begin{aligned} &V_{mf}(\mathbf{r}) = V_{D}(\mathbf{r}) +V_{x}(\mathbf{r}), \\ &V_{D}(\mathbf{r}) = \int V(\mathbf{r},\mathbf{r}^{\prime})\rho(\mathbf{r}^{\prime})d\mathbf{r}^{\prime}, \quad V_{x}(\mathbf{r}) = -\frac{e^{2}}{\varepsilon_{i}}\left(\frac{3\rho(\mathbf{r})}{\pi}\right)^{1/3}, \end{aligned} $$

with \(\rho =\sum _{i} |\psi _{i}|^{2}\) being the electron density. Note that we could replace the local density-dependent exchange term in its Dirac form by a more realistic local density-dependent exchange-correlation term as usually done. We do not do it as the theoretical construction of excited states which will follow automatically accounts for a large part of ground state correlations of RPA nature.

For the sake of simplicity, we consider spherically symmetric electron configurations with closed electronic shells. In this case, the single-particle wave functions are given as the products of radial, angular, and spin components [35]. Consequently, the index i=(n,l), where n is the radial quantum number and l the angular momentum one. The numerical solution of Eq. (3) for electron number N<130 showed that the ground state electron configuration was made of occupied electronic states with lowest radial quantum numbers n=1. These electronic states have node-less radial wave functions and differ by the values of angular momenta l. Thus, accounting for the spin degeneracy, the “magic” numbers of electrons for such symmetric configurations are N=2(lmax+1)2, where lmax is the maximum angular momentum of the highest occupied electronic state. In Fig. 1, we show the density distributions ρ(r) for the NC with N = 18, 50, 128 electrons. One can see that the radial density distribution becomes more and more narrow and shifts towards the NC interface as the size increases. The insert of Fig. 1 shows the size dependence of the mean electronic value of the electronic radial distribution 〈r〉 upon the NC radius R and the ratio δr/R, of its dispersion \(\delta r = \sqrt {\langle r^{2} \rangle - {\langle r\rangle }^{2}}\) (that can be considered as the effective electronic shell width) to the NC radius. This ratio which amounts only 0.15 for the smallest NC with N=8 electrons rapidly decreases for the larger systems. Numerically, the width of electronic shell δr is about two thirds of the effective Bohr radius a0 whereas the peak of the electronic shell is shifted from the NC interface due to the quantum reflection by approximately R−〈r2a0. This feature of the electronic system follows from the strong Coulomb repulsion that pushes the electrons to the NC border forming a hollow spherical charge distribution. If NC radius is large enough, the Coulomb repulsion force at the NC border e2N/εiR2 becomes much stronger than the centrifugal force \(\hbar ^{2}l(l+1)/m_{e}^{*}{\langle r \rangle }^{3}\) even for the highest occupied state with \(l=l_{max}=\sqrt {N/2}-1\). One can see that their ratio amounts a0/2R. That is why the radial and angular electron motions separate if Ra0. In this case, the electronic system is similar to a quantum rotator, e.g., the energy spectrum of occupied single-particle states εi of Eq. (3) is well approximated by the formula,

$$ \epsilon_{1,l} - \epsilon_{1,0} = \frac{\hbar^{2}l(l+1)}{2m_{e}^{*} {\langle r\rangle}^{2}}. $$
Fig. 1
figure 1

Radial density distributions for NCs with different numbers of delocalized electrons, N=18 (solid black like), 50 (dashed blue line), 128 (dotted red line). In the inset, the reduced mean radius (black) and its dispersion (blue) is represented as a function of NC radius

Optical Response

In the linear response approximation, an external harmonic electric field induces time-dependent self-consistent fields of same frequency. The knowledge of the corresponding small-amplitude vibrations provides information on the dipole excited states as well as on the transition probabilities between ground state and excited states. For a system whose ground state is a Slater determinant |Φ0>, the correlated many-body dipole excited states within the RPA approach are constructed as a linear superposition of a particle-hole excitation [36]:

$$ |\Phi_{\nu}>=\sum_{i>F,j<F} \left(X_{ij}^{\nu }\hat{a}_{i}^{+}\hat{a}_{j}+Y_{ij}^{\nu }\hat{a}_{j}^{+}\hat{a}_{i}\right) |\Phi_{0}>. $$

The indices i,m, (j,n) refer to the single-particle states above (below) the Fermi level F; \(\hat {a}^{+}\) and \(\hat {a}\) are the creation and destruction single-particle operators, respectively.

The forward-going, \(X_{ij}^{\nu }\), and the backward-going, \(Y_{ij}^{\nu }\), amplitudes can be obtained by solving the matrix RPA equation [28]:

$$ \left(\begin{array}{ll} \mathbf{A} & \mathbf{B} \\ \mathbf{B}^{\star} & \mathbf{A}^{\star} \end{array} \right) \left(\begin{array}{l} \mathbf{X}^{\nu} \\ \mathbf{Y}^{\nu} \end{array} \right) =\omega_{\nu} \left(\begin{array}{l} \mathbf{X}^{\nu} \\ -\mathbf{Y}^{\nu} \end{array} \right), $$

where the eigenvalues ων are the excitation energies. The matrixes A and B are defined as follows

$$ {\begin{aligned} A_{ij,mn}&\,=\,\delta_{im}\delta_{jn}\left(\varepsilon_{i}-\varepsilon_{j}\right) \,+\, \left\langle in\left| \hat{v}\right| jm\right\rangle, \quad B_{ij,mn}&\,=\,\left\langle im\left| \hat{v}\right| jn\right\rangle \\ \hat{v}(\mathbf{r},\mathbf{r}^{\prime}) &= V(\mathbf{r},\mathbf{r}^{\prime})+ \delta\left(\mathbf{r}- \mathbf{r}^{\prime}\right)\delta V_{x}/\delta \rho. \end{aligned}} $$

Note in passing that the backward amplitudes, \(Y_{ij}^{\nu }\), measure the contribution of electron-hole ground state correlations \(\hat {a}_{j}^{+}\hat {a}_{i}|\Phi _{0}>\), respectively, to the excitation of the excited state |Φν> of frequency ων.

The corresponding dipole oscillator strengths fν are expressed in terms of the RPA amplitudes Xν and Yν,

$$ f_{\nu} = \frac{2 m_{e}^{*} D^{2}_{\nu}\omega_{\nu}}{\hbar^{2}}, \quad D_{\nu} = \sum_{ij} \left(X^{(\nu)}_{ij} d_{ij} + Y^{(\nu)}_{ij} d_{ji} \right), $$

where dij=〈i|z|j〉 are the single-particle dipole matrix elements.

The photoabsorption cross sections have been obtained by broadening the calculated oscillator strength distribution by Lorentzian profiles with the folding width of 0.2 ω. Photoabsorption spectra together with oscillator strength distributions for NCs with N=8 (a), 32 (b), 50 (c), and 128 (d) electrons are shown in Fig. 2. In Fig. 2d, we compare the calculated photoabsorption cross section with the experimental data of Ref. [21] for ZnO NC with R 6 nm. One can see that in all considered NCs, the spectra are dominated by a single resonance line, which position actually determines the maximum of the photoabsorption cross section. Indeed, it is expected since the single-particle electronic spectrum is similar to a quantum rotator. The strongest transitions happen for a maximal wave function overlapping, i.e., with equal radial quantum number n. In our case, there is only one such optical transition from the highest occupied state j=(1,lmax) to the lowest vacant state i=(1,lmax+1). However, the corresponding dipole excitation strongly differs from the non-interacting single-particle transition whenever a strong Coulomb repulsion makes electron correlations important and overwhelming. This is the case when Ra0. Namely, the energy of collective excitation, ων, exceeds the energy of single-particle transition

$$ \Delta = \left(\epsilon_{1, l_{max}+1} -\epsilon_{1, l_{max}}\right)=\frac{\hbar^{2} (l_{max}+1)}{m_{e}^{*}{\langle r \rangle}^{2}}. $$
Fig. 2
figure 2

Oscillator strength distributions and corresponding photoabsorbtion peak profiles calculated within RPAE approach for NCs with N=8 (a), 32 (b), 50 (c), and 128 (d) conduction band electrons. Comparison of experimental [21] (black squares) and calculated (solid line) resonance peak profiles for NC with R≈6 nm (d)

In Fig. 3, we compare the positions of the photoabsorption maxima, ωres, calculated here (blue circles) with experimental results of [21] (red stars). One observes a remarkable agreement between experimental data and our theoretical results. For comparison, we also plot here the energies Δ of single-particle transition (green squares). Electron correlations considerably increase the collective excitation energy comparatively to Δ. A simple analysis of RPA Eq. (7) explains this observation. If we consider only the main optical transition from j=(1,lmax) to j=(1,lmax+1) states, the RPA Eq. (7) reduces to a 2×2 matrix equation, which eigenvalue ω is simply:

$$ \omega^{2}=\Delta^{2} +2V\Delta, $$
Fig. 3
figure 3

Size dependence of LSPR energy. Experimental values [21] (red stars), RPA with local exchange (blue circles), energies of single-particle transition (green diamonds in lower curve). Classical value (13) is shown by the horizontal dashed line

where \(V=\left \langle ij\left | \hat {v}\right | ij\right \rangle \) denotes the RPA Coulomb matrix element. The first term in the r.h.s. of Eq. (11) gives the single-particle contribution whereas the second term results from particle-hole interactions. Their ratio can be estimated by taking the electron radial coordinate at the surface, r=R in the RPA matrix element V, and neglecting the exchange term. This estimation yields

$$ \frac{2V}{\Delta} \simeq \frac{4R\varepsilon_{i}}{a_{0}(\varepsilon_{i}+2\varepsilon_{m})} \simeq \frac{2R}{a_{0}}. $$

Thus, the contribution of electron correlations dominates if Ra0. In the limit of large NCs, the electron density distribution is concentrated at the NC surface; therefore, according to Eq. (12), the resonance energy in Eq. (11) tends to

$$ \omega = \sqrt{\frac{2\hbar^{2}e^{2}N}{m_{e}^{*}(\varepsilon_{i}+2\varepsilon_{m})R^{3}}}, $$

which exactly coincides with the classical dipole plasmon frequency in thin spherical shell [37]. This plasmon mode corresponds to a tangential electron vibration. This way, it is similar to the surface plasmon resonance in C60 molecules, where the resonance frequency is well described by the equation analogous to Eq. (13) [38]. Note that like the fullerene case [39], this plasmon mode gathers two thirds of the total oscillation strength (see Fig. 2). It happens because this oscillation involves only the angular degrees of freedom, keeping the radial motion unperturbed.

On the contrary to the well-known dipole surface plasmon mode in homogeneous spheres, which is purely translational, the mode of present consideration is compressional. The induced density produces an electric field parallel to the surface that plays the role of restoring force for this plasmon mode. Moreover, the purely quantum variation of local Fermi level due to induced density oscillations contributes to the restoring force. The corresponding quantum pressure contribution to the resonance frequency is given by the Δ term in Eq. (11). It is smaller than the Coulomb contribution in all considered NCs because of the smallness of the effective Bohr radius a0 in ZnO. However, in NCs with larger value of a0, one could observe the transition from classical dipole plasmon resonance to quantum confinement regime at Ra0. It is worth noting that in the case of doped NCs, the parameter a0/R which controls the classical/quantum nature of the dipole resonance depends only on the NC size and does not depend on the number of free carriers N.

In Fig. 3, the horizontal line refers to the classical plasmon resonance energy (13). The blue shift of the resonance frequency against its classical value is caused by two quantum effects, the quantum pressure contribution discussed above and the decrease of average electron radius. The latter happens because electrons are pushed in the NC volume due to quantum reflection from the boundary, such that 〈rR−2a0. This effect increases the matrix element V which in turn increases the resonance frequency. Roughly, this effect can be reproduced by replacing the NC radius R in the denominator of Eq. (13) by 〈r〉. According to Eqs. (11)–(13), both effects provide the blue frequency shift proportional to the inverse NC radius 1/R. However, numerically, the contribution of the last one is the largest.


To conclude this letter, we have worked out a theory that nicely predicts the strong dipole resonance observed in highly n-doped colloidal ZnO NCs. The new type of surface dipole plasmon excitations have been theoretically studied using many-body quantum approach. We have demonstrated that the strong Coulomb repulsion in photodoped ZnO nanocrystals leads to specific ground state electron distribution localized in a thin surface layer close to the inner surface. When the dipole is excited, this electronic distribution sustains a collective plasmon oscillation which is essentially formed of angular motion. Transition of this surface plasmon mode from the classical to quantum confinement regime is governed by a single parameter equal to the ratio of nanocrystal size to effective Bohr radius. Electron reflection from the NC interface reduces the electronic shell radius. Besides, the variation of the local Fermi level gives an additional contribution to the plasmon oscillator restoring force. These quantum effects lead to the size dependence of resonance plasmon frequency which is a remarkable agreement with experimental observations. In the limit of large NC radius, the resonance line tends smoothly to the classical plasmon frequency of a charged shell of infinitesimal width.



Local density approximation


Localized surface plasmon resonance




Random phase approximation


  1. Bozhevolniy SI, et al. (eds)2016. Quantum plasmonics. Springer International Publishing, Switzeland.

    Google Scholar 

  2. Kriegel I, Scotognella F, Mannaa L (2017) Plasmonic doped semiconductor nanocrystals: properties, fabrication, applications and perspectives. Phys Rep 674:1.

    CAS  Article  Google Scholar 

  3. Klimov VI (ed)2010. Nanocrystal quantum dots. CRC press, Boca Raton.

    Google Scholar 

  4. Tame MS, McEnery KR, Ozdemir SK, et al (2013) Quantum plasmonics. Nat Phys 9:329.

    CAS  Article  Google Scholar 

  5. Scholl JA, Koh AL, Dionne JA (2012) Quantum plasmon resonances of individual metallic nanoparticles. Nature 483:421.

    CAS  Article  Google Scholar 

  6. Monreal RC, Antosiewicz TJ, Appel SP (2013) Competition between surface screening and size quantization for surface plasmons in nanoparticles. New J Phys 15:083044.

    Article  Google Scholar 

  7. Scotognella F, Della Valle G, Kandada ARS, et al (2013) Plasmonics in heavily-doped semiconductor nanocrystals. Eur Phys J B 86:154.

    Article  Google Scholar 

  8. Xie Y, Carbone L, Nobile C, et al (2013) Metallic-like stoichiometric copper sulfide nanocrystals: phase- and shape-selective synthesis, near-infrared surface plasmon resonance properties, and their modeling. ACS Nano 7:7352.

    CAS  Article  Google Scholar 

  9. Burda C, Chen X, Narayanan R, El-Sayed MA (2005) Chemistry and properties of nanocrystals of different shapes. Chem Rev 105:1025.

    CAS  Article  Google Scholar 

  10. Routzahn AL, White SL, Fong L-K, et al (2012) Plasmonics with doped quantum dots. Isr J Chem 52:983.

    CAS  Article  Google Scholar 

  11. El-Sayed MA (2004) Small is different: shape-, size-, and composition-dependent properties of some colloidal semiconductor nanocrystals. Acc Chem Res 37:326.

    CAS  Article  Google Scholar 

  12. Hsu S-W, On K, Tao AR (2011) Localized surface plasmon resonances of anisotropic semiconductor nanocrystals. J Am Chem Soc 133:19072.

    CAS  Article  Google Scholar 

  13. Luther JM, Jain PK, Ewers T, et al (2011) Localized surface plasmon resonances arising from free carriers in doped quantum dots. Nat Mater 10:361.

    CAS  Article  Google Scholar 

  14. Faucheaux JA, Stanton ALD, Jain PK (2014) Plasmon resonances of semiconductor nanocrystals: physical principles and new opportunities. J Phys Chem Lett 5:976.

    CAS  Article  Google Scholar 

  15. Lounis SD, Runnerstrom EL, Bergerud A, et al (2014) Influence of dopant distribution on the plasmonic properties of indium tin oxide nanocrystals. J Am Chem Soc 136:7110.

    CAS  Article  Google Scholar 

  16. Garcia G, Buonsanti R, Runnerstrom EL, et al (2011) Dynamically modulating the surface plasmon resonance of doped semiconductor nanocrystals. Nano Lett 11:4415.

    CAS  Article  Google Scholar 

  17. Kanehara M, Koike H, Yoshinaga T, Teranishi T (2009) Indium tin oxide nanoparticles with compositionally tunable surface plasmon resonance frequencies in the near-IR region. J Am Chem Soc 131:17736.

    CAS  Article  Google Scholar 

  18. Rowe DJ, Jeong JS, Mkhoyan KA, Kortshage UR (2013) Phosphorus-doped silicon nanocrystals exhibiting mid-infrared localized surface plasmon resonance. Nano Lett 13:1317.

    CAS  Article  Google Scholar 

  19. Sun ZH, Zhao B (2007) ZnO nanoparticle size-dependent excitation of surface Raman signal from adsorbed molecules: observation of a charge-transfer resonance. Appl Phys Lett 91:221106.

    Article  Google Scholar 

  20. Liu X, Swihart MT (2014) Heavily-doped colloidal semiconductor and metal oxide nanocrystals: an emerging new class of plasmonic nanomaterials. Chem Soc Rev 43:3908.

    CAS  Article  Google Scholar 

  21. Schimpf AM, Thakkar N, Gunthardt CE, et al (2014) Charge-tunable quantum plasmons in colloidal semiconductor nanorystals. ACS Nano 8:1065.

    CAS  Article  Google Scholar 

  22. Zhang H, Kulkarni V, Prodan E, et al (2014) Theory of quantum plasmon resonances in doped semiconductor nanocrystals. J Phys Chem C 118:16035.

    CAS  Article  Google Scholar 

  23. Link S, El-Sayed MA (1999) Size and temperature dependence of the plasmon absorption of colloidal gold nanoparticles. J Phys Chem B 103:4212.

    CAS  Article  Google Scholar 

  24. Prodan E, Nordlander P, Halas NJ (2003) Electronic structure and optical properties of gold nanoshells. Nano Letters 3:1411.

    CAS  Article  Google Scholar 

  25. Townsend E, Bryant GW (2012) Plasmonic properties of metallic nanoparticles: the effects of size quantization. Nano Lett 12:429.

    CAS  Article  Google Scholar 

  26. Liu H, Brozek CK, Sun S, et al (2017) A hybrid quantum-classical model of electrostatics in multiply charged quantum dots. J Phys Chem C 121:26066.

    Google Scholar 

  27. Schimpf AM, Gunthardt CE, Rinehart JD, et al (2013) Controlling carrier densities in photochemically reduced colloidal ZnO nanocrystals. J Am Chem Soc 135:16569.

    CAS  Article  Google Scholar 

  28. Madjet M, Guet G, Johnson WR (1995) Comparative study of exchange-correlation effects on electron and optical properties of alkali-metal clusters. Phys Rev A 51:1327.

    CAS  Article  Google Scholar 

  29. Banin U, Cao Y, Katz D, Millo O (1999) Shells in QD Identication of atomic-like electronic states in indium arsenide nanocrystal quantum dots. Nature 400:542.

    CAS  Article  Google Scholar 

  30. Kouwenhoven LP, Austing DG, Tarucha S (2001) Few electron quantum dots. Rep Prog Phys 64:701.

    CAS  Article  Google Scholar 

  31. Östling P, Apell P, Rosen A (1993) Theory for collective resonances of the C 60 molecule. Europhys Lett 21:539.

    Article  Google Scholar 

  32. Kohn W, Sham LJ (1965) Self-consistent equations including exchange and correlation effects. Phys Rev 140:A1133.

    Article  Google Scholar 

  33. de Boor C (1978) A practical guide to splines. Springer Verlag, New York.

    Book  Google Scholar 

  34. Morko H, Özgür Ü (2009) in book Zinc Oxide: Fundamentals, Materials and Device Technology. Wiley-VCH Gmgh & Co, Weinheim.

    Book  Google Scholar 

  35. Landau LD, Lifshitz EM (1977) Quantum mechanics, Vol. 3. Pergamon Press, Uxford.

    Google Scholar 

  36. Amusia MYA, Chernysheva LV (1997) Computation of atomic processes. IOP Publishing Ltd, Bristol.

    Google Scholar 

  37. Alpeggiani F, D’Agostino S, Andreani LC (2012) Surface plasmons and strong light-matter coupling in metallic nanoshells. Phys Rev B 86:035421.

    Article  Google Scholar 

  38. Gerchikov L, Solov’yov A, Connerade J-P, Greiner W (1997) Scattering of electrons on metal clusters and fullerenes. J Phys B At Mol Opt Phys 30:4133.

    CAS  Article  Google Scholar 

  39. Yabana K, Bertsch GF (1993) Electronic structure of C 60 in a spherical basis. Phys Scr 48:633.

    CAS  Article  Google Scholar 

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L.G. and A.I. acknowledge the Ministry of Education and Science of the Russian Federation (grant of Minobrnauka 16.9789.2017/BCh) for the financial support. A.I. also thanks for financial support the Skolkovo Foundation (grant agreement for Russian Educational and Scientific Organisation no.7 dd. 19.12.2017) and Skolkovo Institute of Science and Technology (General agreement no. 3663-MRA dd. 25.12.2017). The authors would like to acknowledge the contribution of Mukul Dhiman to the numerical calculations.


This work was supported by Skolkovo Foundation (grant agreement for Russian Educational and Scientific Organisation no.7 dd. 19.12.2017) and Skolkovo Institute of Science and Technology (General agreement no. 3663-MRA dd. 25.12.2017).

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Ipatov, A., Gerchikov, L. & Guet, C. Plasmon Resonance in Photoabsorption of Colloidal Highly Doped ZnO Nanocrystals. Nanoscale Res Lett 13, 297 (2018).

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  • Photoabsorbtion
  • Plasmon
  • Nanocrystal