Abstract
Recent nanotechnology advances enable fabrication of layered structures with controllable inter-layer gap, giving the ultra-violet (UV) lasers access to solid-state plasmas which can be used as medium for electron acceleration. By using a linearly polarized 3 fs-long laser pulse of 100 nm wavelength and 10\(^{21}\) W/cm\(^2\) peak intensity, we show numerically that electron bunches can be accelerated along a stack of ionized graphene layers. Particle-In-Cell (PIC) simulations reveal a new self-injection mechanism based on edge plasma oscillations, whose amplitude depends on the distance between the graphene layers. Nanometre-size electron ribbons are electrostatically catapulted into buckets of longitudinal electric fields in less than 1 fs, as opposed to the slow electrostatic pull, common to laser wakefield acceleration (LWFA) schemes in gas-plasma. Acceleration then proceeds in the blowout regime at a gradient of 4.79 TeV/m yielding a 0.4 fs-long bunch with a total charge in excess of 2.5 pC and an average energy of 6.94 MeV, after travelling through a graphene target as short as 1.5 \(\upmu \)m. These parameters are unprecedented within the LWFA research area and, if confirmed experimentally, may have an impact on fundamental femtosecond research.
Similar content being viewed by others
Introduction
Unlike LWFA in gases, which can be achieved with laser pulses in the infra-red (IR) range, at peak intensities of \(10^{18}\)–\(10^{19}\) W/cm\(^2\)1, the equivalent mechanism in solid-state plasmas requires \(10^{20}\)–\(10^{21}\) W/cm\(^2\) laser pulses in the UV range. Motivated by recent developments in laser science such as thin film compression2 and relativistic surface compression3, single-cycle IR laser pulses were also considered as drivers for LWFA in nanotubes4. However, neither numerical nor theoretical studies have been published on the possibility to accelerate electrons using graphene layered targets in combination with UV laser pulses. Pure graphene layers contain \(1.14\times 10^{23}\) atoms/cm\(^3\), that is 4–5 orders of magnitude more than the pressurized gases commonly used for LWFA5. Graphene targets can be grown in the form of many 2D layers of Carbon atoms stacked together6. Each layer is 0.34 nm thick and, when fully ionized delivers a plasma density of \(6.84 \times 10^{23}\) cm\(^{-3}\). Ionization with a sufficiently intense laser pulse, ensures that electrons leave the layers to form a virtually homogeneous cloud, with a density of \(\sim \) 10\(^{22}\) cm\(^{-3}\) through the Brunel non-resonant mechanism7,8. More exactly, for a graphene target made of 60 layers stacked with an inter-layer gap of 20 nm, as used in this work, the effective electron plasma density at complete ionization is \(n_e\) = \(1.16 \times 10 ^{22}\) cm\(^{-3}\). With the electron mass \(m_e\) and charge e, and vacuum electric permittivity \(\epsilon _0\), the plasma angular frequency defined as
can be used to assess the viability of a laser pulse of 100 nm wavelength. Key plasma and laser parameters are listed in Table 1, showing that the interaction falls in the overdense regime (\(\omega _p > \omega _0\)) for the layer plasma and in the underdense regime (\(\omega _p < \omega _0\)) for the cloud plasma, where \(\omega _p\) and \(\omega _0\) are the angular frequencies for the plasma and laser, respectively.
Through PIC simulations carried out with PIConGPU9, we show that using a laser pulse of 100 nm wavelength, electron self-injection is possible from the edge of the multilayer graphene plasma, provided that the laser pulse is sufficiently intense and energetic. Accelerated electron bunches can be extracted at the other edge of the target, following the interaction scheme shown in Fig. 1.
As opposed to the LWFA schemes in gases, here self-injection is due to the short (\(\sim \) 0.5 fs) burst of a longitudinal electric force at the left edge of the target. In addition, all charge is injected at once, as a projectile, and remains virtually constant thereafter. These two observations motivate us to name the injection and acceleration scheme “catapult”.
Results
The interaction is modelled using a linearly polarized Gaussian laser pulse whose parameters are shown in Table 2. The pulse moves along the y-axis while its electric field oscillates in the simulation plane yx. The blowout regime10 occurs if the width of the target (here 1.2 \(\upmu \)m) is larger than the pulse length (here 0.9 \(\upmu \)m). This is due to the coupled oscillatory motion of the ionized electrons, described below.
As the first laser cycle hits and ionizes the layers at the left edge, electrons are repelled transversely upwards and downwards by the alternating laser field \(E_x\). With the following laser cycles, their transverse motion grows in amplitude but there is also a concurrent longitudinal oscillation along the layers of carbon ions left at rest and electrically unbalanced. While executing these combined 2D oscillations most of the electrons leave the laser pulse region, being initially confined near the transverse extremities of the target (\(x<\) 0.2 \(\upmu \)m and \(x>\) 1 \(\upmu \)m). With the laser pulse advancing along the target, these electrons then collapse towards the left edge of the target, by this point nearly void of electrons. One of the outcomes is the appearance of a thick wall of electrons, just behind the laser pulse, as shown in Fig. 2a, but another one, key to this work, is that while most of the wall follows the laser pulse, being continuously replenished, its left extremities are attracted leftwards by the ions, initiating a damped oscillation which lasts for about 36 laser cycles. This split between the electrons in the wall and those moving leftwards, gradually builds up a bubble of ions. Furthermore, from the electrons moving leftwards, a \(\sim \) 10 nm-thick ribbon is catapulted into the left half of the bubble due to the favourable longitudinal electric field \(E_y\) just being formed. This behaviour, shown in Fig. 2b–e, is of paramount importance to the injection and acceleration process. Electrons oscillation about the target end is essentially a spill-out nanoplasmonic effect11 studied within the realm of nanoelectronics, but never considered as a mechanism to inject electrons into a laser-plasma accelerator. The efficiency of the catapult process ultimately depends on the ratio between the laser wavelength and the inter-layers gap. In this work the wavelength/gap ratio is 5. While for wider gaps laser propagation is longer, which is an expected behaviour, given the lower effective plasma density, electrostatic forces at the left edge of the target are weaker and less charge is available for injection. It is worth mentioning that the catapult process is a femtosecond electron injection scheme, with all charge injected at once as opposed to the LWFA in gases, where electrons are gradually dragged into the bubble within a few ps12.
The longitudinal oscillations at left edge of the target, which are shown in Fig. 3, can be modelled as a damped oscillator:
whose mean follows a logarithmic curve:
where t, denotes time. The parameters of the logarithmic curve \(y_0\) are: \(a = -8.17\times 10^{-9}\) m, \(b = 2.59 \times 10 ^{-7}\) s\(^{-1}\) and \(c = -3.83 \times 10 ^{-7}\) m, while the parameters of the damped oscillator are \(A = 45 \times 10 ^{-9}\) m, \(\omega _e\) = 2\(\,\pi \,c\)/\(\lambda _e\), \(\lambda _e = 320.9 \times 10 ^{-9}\) m, \(\xi \) = \(2.05 \times 10 ^{-2}\) rad\(^{-1}\), and \(\varphi _0\) = 0.98\(\,\pi \), with t in s. Both \(\omega _e\) and \(\lambda _e\) should be compared with the corresponding Cloud values listed in Table 1.
with a smaller angular frequency (\(\omega _e\)) than that of the bulk plasma (\(\omega _p\)). The quality factor of the oscillator is
which confirms that the oscillation is under-damped. In this scheme electrons are injected not only in the first bubble but also in subsequent bubbles, although with decreasing overall charge. With further optimization, the catapult process could become a unique scheme of obtaining trains of electron bunches separated by a few fs. Within the bubble, the transverse electric field components \(E_x\), as well as the azimuthal magnetic field \(B_z\) created by the electrons moving inside and leaking from the laser pulse, are simultaneously focusing the electron ribbon into a compact bunch. The bunch is focused from an initial transverse FWHM size of 265 nm shown in Fig. 4a, to a minimum transverse FWHM size of 65 nm shown in Fig. 4b, during about 5 laser cycles. Thereafter, the bunch is defocused, as shown in Fig. 4c, due to the growing space charge forces which oppose the decreasing focusing forces. The catapult injection delivers relativistic electrons with \(\beta \sim \) 0.90 and therefore, as it can be seen from Fig. 4 the bunch does not significantly slip out of phase while gaining energy. However, it flattens the accelerating field \(E_y\) through beam loading13.
As the bunch is accelerated through the target, the rate of energy gain decreases. This is shown in Fig. 5a. The transverse emittance \(\varepsilon _x\), shown in Fig. 5b, is damped within the first 3 laser cycles after injection and remains virtually constant afterwards without being affected by the dechanneling effects14. On the contrary, the longitudinal emittance \(\varepsilon _y\), shown in Fig. 5c, grows steadily as the bunch elongates longitudinally.
During the time in which the laser pulse sweeps over the right target edge, it removes a large amount of background electrons, creating a strong longitudinal electric field of opposite sign as compared to the one previously sustained in the second half of the wakefield bubble, and used by the bunch to gain energy. As it can be seen from two snapshots of the longitudinal phase space, shown in Fig. 6, the bunch loses some energy when traversing this field and leaving the target.
Similarly, the transverse phase space at the same two snapshots is shown in Fig. 7 revealing that the electron bunch diverges immediately after leaving the target.
Figures 6a,b and 7a,b in the phase space correspond respectively to the bunch shown in Fig. 8a,b in the real space, in the following section.
Discussion
As the bunch approaches the right end of the multilayer graphene target, it encounters waves of backward travelling electrons, due the longitudinal oscillations driven by the laser pulse. The oscillations remove electrons from the right edges of the graphene layers, creating a favourable rightwards acceleration gradient for the electrons contained in the first wall behind the laser pulse. As shown in Fig. 8, a halo of background electrons is ejected and expands radially.
This phenomenon precedes ion Coulomb explosion15 used in target normal sheath acceleration schemes16 with IR lasers. It is worth mentioning that the catapult self-injection and acceleration was demonstrated as high-energy (mJ) collective phenomenon, without accounting for the appearance of the plasmons in the solid-state lattice, as considered elsewhere17. Finally, the performance is shown in Table 3, in which the 3D bunch charge was obtained by scaling the 2D value up to the equivalent of the FWHM transverse laser spot size. Although the kinetic energy and bunch charge are smaller than those obtained in the most recent LWFA experiments18 by a factor of \(10^{3}\) and 2 respectively, the acceleration gradient of the catapult scheme is larger by a factor of 10. Furthermore, the normalized rms transverse emittance defined as
when divided by the bunch charge q, is smaller than in other LWFA schemes19 by a factor of 20.
We have shown that multilayer graphene can sustain TV/m longitudinal electric fields. With the advent of UV laser sources20,21,22 and the development of Thin Film Compression techniques for UV lasers, following a similar approach used for IR lasers2, the catapult phenomenon described in this article offers a promising path towards the generation of sub-femtosecond-long electron bunches with a mean kinetic energy of several MeV. This shows exciting prospects for delivering the shortest electron bunches ever produced in the laboratory with excellent potential to advance ultra-fast electron diffraction techniques beyond current limits23,24. Another potential application is the generation of THz magnetic impulses with the current techniques aiming for time resolutions in the order of tens of fs25. Overall, this work demonstrates that laser-wakefield acceleration in solid state plasma can be achieved without the need of X-ray lasers as previously thought26,27, and therefore has the potential to direct current research on novel acceleration techniques towards using UV laser pulses and layered nanomaterials. Current techniques for growing high-quality graphene nanoribbons, such as Chemical Vapour Deposition, focus on applications related to electronics and spintronics28,29 which require atom size precision. From this point of view, the catapult scheme may work with larger tolerances since it is a collective phenomenon of the target. Graphene can withstand laser intensities up to 10\(^{12}\) W/cm\(^{-2}\), but as the catapult scheme presented here requires 10\(^{21}\) W/cm\(^{-2}\), the target is structurally damaged and cannot be reused. However, given the high inertia of the Carbon ions and because the electron bunch is formed, accelerated and extracted less the 2 fs behind the laser pulse maximum, the scheme is viable. The electron bunch exhibits the electrostatic pull of a virtually undamaged lattice of Carbon ions.
Methods
When compared with theoretical methods, PIC methods30 provide a complementary understanding of charged-particle dynamics due to their ability to include arbitrary target geometries and laser pulse envelopes in two or three dimensions. The simulations were performed in a box of 2 \(\upmu \)m \(\times \) 1.6 \(\upmu \)m with a rectangular mesh cell of 0.135 nm \(\times \) 0.135 nm, which corresponds to 2.51 cells per layer thickness, and 10 macroparticles per cell, as these were the limitations of the available hardware. The target length along the y-axis is set to 1.5 \(\upmu \)m as a realistic dimension of the graphene layers available in the near future and, to understand the edge effects, an empty region is considered around the target. Three ionization mechanisms were enabled: tunneling31, p. 277, barrier suppression32,33 and collision34. It is worth mentioning that unlike with the LWFA in low-Z gases, ionization through collision is significant. The PIConGPU code9 was chosen due to its capability to scale performance with the number of available graphics cards, but also due to the rich variety of technical features such as macroparticle initialization, ionization mechanisms, field solvers etc. A recent validation of PIConGPU35 was published in the context of acceleration driven in plasma by laser-accelerated electron beams. The code was also used to demonstrate generation of high-energy proton micro-bunches in mixed species gases36. Given the extremely short simulation time of 10 fs, we could not consider the case of a fully preionized plasma by a previous laser pulse, as it is usually done with IR LWFA simulations36. It must be noted that although the simulations are carried out in two dimensions namely y (longitudinal) and x (transverse), numerically the third dimension, along the z-axis (out-of-plane) is present as a single mesh cell, 0.135 nm deep, and this allows a meaningful retrieval of quantities such as electron charge density \(\rho _e\) in C/m\(^3\), out-of-plane magnetic field \(B_z\), momentum \(p_z\) etc, in what is called a 2D3V setup. PIConGPU is a gas-plasma code with the fields resolved on staggered Yee grid37 and the motion of the particles simulated by a Boris-type pusher38, which assumes unrestricted motion of both electrons and Carbon ions. Suppression of accelerating gradients in hydrogen plasmas due to the ion motion was previously discussed39. Here, although the electron to Carbon mass ratio is \(\sim \) 10\(^{-4}\), given the high laser intensity and virtually instant complete ionization inside the laser pulse, an evaluation of the Carbon ion displacement was carried out. There is virtually no displacement under the impact of \(\simeq \) 70 TV/m laser electric field and at most 1–3 nm displacement as the simulation completes. However, by that time the accelerated electrons have left the target. This result supports previous similar findings that wakefields in solid-state nanomaterials remain virtually unaffected by the ion dynamics27. Concluding, the code can be safely applied to simulate electron laser-driven acceleration in a solid-state lattice. All simulations presented so far in this article were carried out using Carbon atoms in the 3rd ionization state (C\(^{3+}\)), to account for rather weaker first ionization potentials of graphene40 as compared with those of the Carbon atom. As the simulation progresses, a proof of complete ionization is shown in Fig. 9, where the ratio between total electron charge in the simulation domain at any given time Q(t) and that at the beginning of the simulation \(Q_0(t = 0)\) is shown. At \(t/T\,\simeq \) 3 the laser pulse hits the left edge of the layered graphene target and ionization starts through all three types listed above. By \(t/T\,\simeq \) 18, the total electron charge in the system doubles and remains constant thereafter, as the laser pulse emerges at the right edge of the layered graphene target.
However, choosing the 3rd ionization state is arbitrary, and in order to validate the catapult scheme, a PIC simulation was completed starting with unionized Carbon atoms, and the same laser parameters as used throughout this work. As shown in Fig. 10 the laser pulse is sufficiently intense to ionize the target and form electron bunches, as before. Obviously, the electron charge distribution inside the bunch and across the target differs from when compared with Fig. 8, but this is of secondary importance.
Concluding, the catapult scheme is numerically validated through detailed PIC simulations and, when a suitable laser becomes available, this work may be used to prepare a proof-of-principle experiment.
Change history
17 February 2023
A Correction to this paper has been published: https://doi.org/10.1038/s41598-023-29761-z
References
Esarey, E., Schroeder, C. B. & Leemans, W. P. Physics of laser-driven plasma-based electron accelerators. Rev. Mod. Phys. 81, 1229–1285. https://doi.org/10.1103/RevModPhys.81.1229 (2009).
Mourou, G., Mironov, S., Khazanov, E. & Sergeev, A. Single cycle thin film compressor opening the door to zeptosecond-exawatt physics. Eur. Phys. J. Spec. Top. 223, 1181–1188. https://doi.org/10.1140/epjst/e2014-02171-5 (2014).
Naumova, N. M., Nees, J. A., Sokolov, I. V., Hou, B. & Mourou, G. A. Relativistic generation of isolated attosecond pulses. Phys. Rev. Lett. 92, 063902. https://doi.org/10.1103/physrevlett.92.063902 (2004).
Zhang, X. et al. Particle-in-cell simulation of X-ray Wakefield acceleration and betatron radiation in nanotubes. Phys. Rev. Accel. Beams 19, 101004. https://doi.org/10.1103/PhysRevAccelBeams.19.101004 (2016).
Mangles, S. P. D. et al. Monoenergetic beams of relativistic electrons from intense laser-plasma interactions. Nature 431, 535–538. https://doi.org/10.1038/nature02939 (2004).
Xu, Z., Nakamura, S., Inoue, T., Nishina, Y. & Kobayashi, Y. Bulk-scale synthesis of randomly stacked graphene with high crystallinity. Carbon 185, 368–375. https://doi.org/10.1016/j.carbon.2021.09.034 (2021).
Brunel, F. Not-so-resonant, resonant absorption. Phys. Rev. Lett. 59, 52–55. https://doi.org/10.1103/PhysRevLett.59.52 (1987).
Chopineau, L. et al. Identification of coupling mechanisms between ultraintense laser light and dense plasmas. Phys. Rev. X 9, 011050. https://doi.org/10.1103/physrevx.9.011050 (2019).
Burau, H. et al. PIConGPU: A fully relativistic particle-in-cell code for a GPU cluster. IEEE Trans. Plasma Sci. 38, 2831–2839. https://doi.org/10.1109/TPS.2010.2064310 (2010).
Lotov, K. V. Blowout regimes of plasma Wakefield acceleration. Phys. Rev. E 69, 046405. https://doi.org/10.1103/PhysRevE.69.046405 (2004).
Toscano, G. et al. Resonance shifts and spill-out effects in self-consistent hydrodynamic nanoplasmonics. Nat. Commun. 6, 7132. https://doi.org/10.1038/ncomms8132 (2015).
Faure, J. A laser-plasma accelerator producing monoenergetic electron beams. Nature 431, 541–544 (2004).
Tzoufras, M. et al. Beam loading in the nonlinear regime of plasma-based acceleration. Phys. Rev. Lett. 101, 145002. https://doi.org/10.1103/PhysRevLett.101.145002 (2008).
Gemmell, D. S. Channeling and related effects in the motion of charged particles through crystals. Rev. Mod. Phys. 46, 129–227. https://doi.org/10.1103/RevModPhys.46.129 (1974).
Brantov, A. V. & Bychenkov, V. Y. Proton acceleration from thin foils by extremely short PW laser pulse. Phys. Plasmas 28, 063106. https://doi.org/10.1063/5.0048024 (2021).
Snavely, R. A. et al. Intense high-energy proton beams from petawatt-laser irradiation of solids. Phys. Rev. Lett. 85, 2945–2948. https://doi.org/10.1103/PhysRevLett.85.2945 (2000).
Bowlan, P., Martinez-Moreno, E., Reimann, K., Elsaesser, T. & Woerner, M. Ultrafast terahertz response of multilayer graphene in the nonperturbative regime. Phys. Rev. B 89, 041408. https://doi.org/10.1103/physrevb.89.041408 (2014).
Gonsalves, A. et al. Petawatt laser guiding and electron beam acceleration to 8 GeV in a laser-heated capillary discharge waveguide. Phys. Rev. Lett. 122, 084801. https://doi.org/10.1103/physrevlett.122.084801 (2019).
Fritzler, S. et al. Emittance measurements of a laser-Wakefield-accelerated electron beam. Phys. Rev. Lett. 92, 165006. https://doi.org/10.1103/physrevlett.92.165006 (2004).
Varillas, R. B. et al. Microjoule-level, tunable sub-10 fs UV pulses by broadband sum-frequency generation. Opt. Lett. 39, 3849. https://doi.org/10.1364/ol.39.003849 (2014).
Cha, Y.-H., Kim, S.-W., Shin, J.-H. & Kim, J.-M. Efficient 075-mJ 100-kHz ultraviolet pulsed laser based on a rod-type photonic crystal fiber. Appl. Opt. 60, 1191. https://doi.org/10.1364/ao.417334 (2021).
Wang, N., Zhang, J., Yu, H., Lin, X. & Yang, G. Sum-frequency generation of 133 mJ, 270 ps laser pulses at 266 nm in LBO crystals. Opt. Express 30, 5700. https://doi.org/10.1364/oe.451262 (2022).
Fu, F. et al. High quality single shot ultrafast MeV electron diffraction from a photocathode radio-frequency gun. Rev. Sci. Instrum. 85, 083701. https://doi.org/10.1063/1.4892135 (2014).
Li, R. et al. Experimental demonstration of high quality MeV ultrafast electron diffraction. Rev. Sci. Instrum. 80, 083303. https://doi.org/10.1063/1.3194047 (2009).
Sederberg, S., Kong, F. & Corkum, P. B. Tesla-scale terahertz magnetic impulses. Phys. Rev. X 10, 011063. https://doi.org/10.1103/physrevx.10.011063 (2020).
Tajima, T. Laser acceleration in novel media. Eur. Phys. J. Spec. Top. 223, 1037–1044. https://doi.org/10.1140/epjst/e2014-02154-6 (2014).
Hakimi, S. et al. Wakefield in solid state plasma with the ionic lattice force. Phys. Plasmas 25, 023112. https://doi.org/10.1063/1.5016445 (2018).
Wang, H. et al. Graphene nanoribbons for quantum electronics. Nat. Rev. Phys. 3, 791–802. https://doi.org/10.1038/s42254-021-00370-x (2021).
Way, A. J. et al. Anisotropic synthesis of armchair graphene nanoribbon arrays from sub-5 nm seeds at variable pitches on germanium. J. Phys. Chem. Lett. 10, 4266–4272. https://doi.org/10.1021/acs.jpclett.9b01079 (2019).
Arber, T. D. et al. Contemporary particle-in-cell approach to laser-plasma modelling. Plasma Phys. Controlled Fusion 57, 113001. https://doi.org/10.1088/0741-3335/57/11/113001 (2015).
Mulser, P. & Bauer, D. High Power Laser–Matter Interaction. Springer Tracts in Modern Physics (Springer, 2010).
Bauer, D. & Mulser, P. Exact field ionization rates in the barrier-suppression regime from numerical time-dependent schrödinger-equation calculations. Phys. Rev. A 59, 569–577. https://doi.org/10.1103/PhysRevA.59.569 (1999).
Keldysh, L. V. Ionization in the field of a strong electromagnetic wave. Soviet Phys. JETP 20, 1307–1314 (1965).
More, R. Pressure Ionization, Resonances, and the Continuity of Bound and Free States, vol 21 of Advances in Atomic and Molecular Physics 305–356 (Academic Press, 1985). https://doi.org/10.1016/S0065-2199(08)60145-1.
Kurz, T. et al. Demonstration of a compact plasma accelerator powered by laser-accelerated electron beams. Nat. Commun.https://doi.org/10.1038/s41467-021-23000-7 (2021).
Sharma, A. & Kamperidis, C. High energy proton micro-bunches from a laser plasma accelerator. Sci. Rep.https://doi.org/10.1038/s41598-019-50348-0 (2019).
Yee, K. Numerical solution of initial boundary value problems involving Maxwell’s equations in isotropic media. IEEE Trans. Antennas Propag. 14, 302–307. https://doi.org/10.1109/TAP.1966.1138693 (1966).
Qin, H. et al. Why is Boris algorithm so good?. Phys. Plasmas 20, 084503. https://doi.org/10.1063/1.4818428 (2013).
Vieira, J., Fonseca, R. A., Mori, W. B. & Silva, L. O. Ion motion in self-modulated plasma Wakefield accelerators. Phys. Rev. Lett. 109, 145005. https://doi.org/10.1103/PhysRevLett.109.145005 (2012).
Ghadiry, M., Manaf, A. B. A., Nadi, M., Rahmani, M. & Ahmadi, M. Ionization coefficient of monolayer graphene nanoribbon. Microelectron. Reliab. 52, 1396–1400. https://doi.org/10.1016/j.microrel.2012.02.017 (2012).
Acknowledgements
We acknowledge the support received from the PIConGPU software developers and the STFC CDT LIV.DAT under Grant agreement ST/P006752/1. J. Resta-Lopez is supported by the Generalitat Valenciana under Grant agreement CIDEGENT/2019/058.
Author information
Authors and Affiliations
Contributions
All authors conceived the numerical simulations and discussed the results. C.W. provided the computational resources. C.B. run the simulations, processed the data and wrote the manuscript. All authors reviewed the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The original online version of this Article was revised: The original version of this Article contained an error in the legend of Figure 1. Full information regarding the corrections made can be found in the correction notice for this Article.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Bonţoiu, C., Apsimon, Ö., Kukstas, E. et al. TeV/m catapult acceleration of electrons in graphene layers. Sci Rep 13, 1330 (2023). https://doi.org/10.1038/s41598-023-28617-w
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-023-28617-w
- Springer Nature Limited