• High Power Laser Science and Engineering
  • Vol. 1, Issue 2, 02000069 (2013)
Isidore Last1, Shlomo Ron1, Andreas Heidenreich2、3, and Joshua Jortner1、†,*
Author Affiliations
  • 1School of Chemistry, Tel Aviv University, Ramat Aviv, 69978 Tel Aviv, Israel
  • 2Kimika Fakultatea, Euskal Herriko Unibertsitatea (UPV/EHU) and Donastia International Physics Center (DICP), P.K. 1072, 20080 Euskadi, Spain
  • 3IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain
  • show less
    DOI: 10.1017/hpl.2013.10 Cite this Article Set citation alerts
    Isidore Last, Shlomo Ron, Andreas Heidenreich, Joshua Jortner. Coulomb explosion of nanodroplets drives the conversion of laser energy to nuclear energy[J]. High Power Laser Science and Engineering, 2013, 1(2): 02000069 Copy Citation Text show less

    Abstract

    Theoretical–computational studies of table-top laser-driven nuclear fusion of high-energy (up to 15 MeV) deuterons with , , and D nuclei demonstrate the attainment of high fusion yields within a source–target reaction design. This constitutes a source of Coulomb-exploding deuterium nanodroplets driven by an ultraintense femtosecond near-infrared laser and a solid hollow cylindrical target containing the second element. The source–target reaction design attains the highest table-top fusion efficiencies (up to per laser pulse) obtained to date. The highest conversion efficiency of laser energy to nuclear energy ( for table-top DD fusion attained in the source–target design is comparable to that for DT fusion currently accomplished for ‘big science’ inertial fusion setups.

    1. Introduction

    Table-top nuclear fusion in the chemical physics laboratory[1,2] was realized by nuclear fusion driven by Coulomb explosion (NFDCE) of assemblies of nanostructures, i.e., clusters (with initial radii )[315], and nanodroplets (with )[1520], which are driven by ultraintense femtosecond near-infrared lasers[7,8,17]. The ultraintense laser pulses for generating Coulomb explosion (CE) of such nanostructures are characterized by ultrahigh intensities of up to , which can be produced from the currently available Terawatt and Pentawatt lasers[21]. The interaction of ultraintense femtosecond near-infrared lasers with nanometer-sized matter[220] results in inner and outer ionization of the nanostructures[2224] followed by CE, which produces high-energy (10 keV–15 MeV) ions in the energy domain of nuclear physics. Previous studies of NFDCE of clusters[215] and of nanodroplets[1720,24] involved nuclear reactions inside or outside the macroscopic plasma filament, which is produced by an assembly of Coulomb-exploding nanostructures within the focal volume of the laser.

    NFDCE constitutes the table-top conversion of laser energy to nuclear energy. We advance theoretical–computational methods to establish the conditions for the attainment of high efficiencies for table-top conversion of laser energy to nuclear energy mediated by CE dynamics of molecular nanodroplets. A source–target design[25,26] for fusion of D with , , and D atoms attains the highest table-top fusion efficiencies ( per laser pulse) obtained to date. The data for high-efficiency table-top laser energy nuclear energy conversion are comparable to those obtained to date for ‘big science’ inertial fusion setups[2730].

    2. The source–target design for table-top fusion

    Our exploration of the maximization of table-top fusion yields[26] established that an increase of the table-top fusion efficiencies by 3–5 orders of magnitude for NFDCE of nanodroplets, relative to those attained inside or outside a plasma filament[2,6,7,11,19,23], can be attained by transcending the macroscopic plasma filament as a reaction medium for table-top fusion and by considering a source–target design, which was advanced in our previous work[25,26], with the following operational conditions. The source–target design is based on the selection of an appropriate source (where high-energy deuterons or protons are produced by CE) and a target (where the fusion reaction occurs). For fusion between two distinct nuclei, high-energy deuterons (or protons) are produced with the source by CE of homonuclear deuterium or hydrogen nanodroplets[25,26]. The ions react with a solid target of the second reagent.Regarding the properties of the source within the source–target design, a key element for efficient fusion rests on the production of high-energy (up to 15 MeV) deuterons or protons[24].The beneficial properties of the cylindrical hollow solid target within the source–target design originate from the efficient collection of high-energy deuterons and protons from the source, together with the moderately low stopping power and large penetration depth of deuterons within the solid[25,26].

    3. Table-top fusion yields

    High table-top fusion yields were calculated for reactions of deuterons with several light nuclei, i.e., , , and D, within the source–target reaction design[25,26]. The source consists of deuterons produced by CE of deuterium nano-droplets, ), impinging on a hollow solid cylinder target containing the , , and D atoms. The fusion reactions with the highest cross sections in the relevant energy domains[3133] were considered. The cylindrical solid target involves or (pure metal or LiF ionic solid) for reactions of D with Li isotopes, and low-temperature () deuterium film or deuterated polymer polyethylene[2,13,26] at room temperature for the reaction.

    The fusion reaction yield per laser pulse is

     ((1))
    where is the number of deuterons produced from the source and is the average reaction probability:
     ((2))
    Here is the energy distribution function of the ions with a maximal energy , obtained from scaled electron and ion dynamics (SEID) simulations described in our previous work[24,34,35], and is the reaction probability per ion with an initial energy penetrating into the solid target, given by
     ((3))
    where is the reaction cross section[3133] and is the stopping power normalized to the atomic density of the target[36]. The energy dependence of (inset to Figure 1 ) over the relevant energy domain up to 15 MeV (which corresponds to the CE energies) is determined by the cumulative contributions of and . exhibits a nearly power-law dependence on (inset to Figure 1), in the form
     ((4))
    where is a constant and is a scaling parameter. The data of the inset to Figure 1 result in for , for and for . For the conditions of complete vertical outer ionization (CVI) of the nanodroplet[2,2224], the CE energetics is determined by electrostatic models[2,22,23]. Under CVI conditions the kinetic energy distribution of the deuterons is[2,22,23]  for , with the maximal kinetic energy being[2,29,30] , where , with , is the initial density of the nanostructure, and is the ion charge. The validity of the CVI relations for the energetics of CE is borne out of SEID simulations[24,26,34,35], which include intra-nanodroplet intensity attenuation[24] and relativistic effects[37,38]. Equations (1), (2) and (4), together with the CVI relations for and , result in
     ((5))
    with
     ((6))
    Equation (5) predicts a power law for the nanodroplet size dependence of the fusion yields, with the scaling parameter being given by Equation (6).

    The fusion yields, Equation (1), were calculated from the $y(E)$ data of Equation (3) (presented in the inset to Figure 1), and the $P(E)$ functions obtained from SEID simulations, which result in $\langle y\rangle $, Equation (2);the number $N$ of the deuterons produced from the Coulomb-exploding source.

    is governed by laser energy deposition inside the plasma filament within the laser focal volume[25,26]. The fraction of the laser energy acquisition by the assembly of nanodroplets is[25,26] with , where is the laser pulse energy and is the laser energy absorbed per atom within a nanodroplet, which was obtained from SEID simulations for exploding deuterium nanodroplets, while the laser parameters are the peak intensity , pulse duration , pulse energy [17], and laser wavelength . Following our previous work[26], the number of deuterons within the macroscopic plasma filament is

     ((7a))
    for the weak assembly intensity attenuation, and
     ((7b))
    for the strong assembly intensity attenuation. Here, the macroscopic plasma filament is characterized by the deuteron density, where [17].

    The nanodroplet size dependence of the fusion yields was calculated for the laser and nanoplasma parameters given above. For these input data, the weak assembly attenuation limit is strictly applicable over the entire size domain[26]. Furthermore, for the highest laser intensity , the CVI relation is nearly applicable up to , whereupon Equation (5) is applicable for the analysis of the yield data. The nanodroplet size dependence of portrayed in Figure 1 exhibits a nearly linear dependence of log versus , resulting in a power-law size dependence of on , of the form . The scaling parameters obtained for Figure 1 are for , for , and for . These scaling parameters , obtained for the nanodroplet size dependence of , obey the relation , where , Equation (4), are the scaling parameters for the energy dependence reaction probability, Equation (3), which are presented above. This result is in accord with the relation predicted by Equation (6).

    4. Fusion efficiencies and their dependence on the laser pulse energy

    The fusion efficiency[15,26,39] is

     ((8))
    The fusion yields and efficiencies were maximized for the nanodroplet size and the laser parameters. Our results for (Figure 1) and were obtained at a fixed laser pulse energy of [17] and at a high laser intensity of . We shall now advance a scaling method for the dependence of and on the laser pulse energy for the domains of weak assembly intensity attenuation () and strong assembly intensity attenuation (). Increasing beyond is expected to increase and for in the range , while for a distinct dependence of the parameters on is realized in the range . marks the laser power for the ‘transition’ from to , which is given by[26]
     ((9))
    A typical value of for the largest nanodroplet size and highest intensity, i.e., and , was estimated from Equation (9). The scaling of and of is obtained in the form[26]
     ((10a))
     ((11a))
    and
     ((10b))
     ((11b))
    Accordingly, the calculation of the maximal value of will be achieved by SEID simulations for the optimization of and at a fixed laser pulse energy (), followed by the scaling of these attributes from to . The maximal value of is . Our results for and were obtained from the scaling of the SEID simulation results at (Figure 2). The optimal fusion yields per laser pulse (for the nanodroplet size , and laser parameters , , and ) are , , and for the fusion of D with , , and D, respectively. Our analysis then results in the attainment of the maximal high table-top fusion efficiencies, i.e., , and for the fusion of D with , , and D, respectively.

    The maximal value of the laser energy to nuclear energy conversion efficiency for table-top fusion is

     ((12))
    where is the energy release in the nuclear reaction and . The estimates for for the fusion of D with , , and D are , and , respectively.

    5. Discussion

    Of considerable interest is the attainment of high efficiencies for the conversion of laser energy to nuclear energy. Two major conclusions regarding records for table-top fusion emerge from our analysis. Records for table-top conversion of laser energy to nuclear energy. Our theoretical–computational studies demonstrate the attainment of high fusion efficiencies in the range $\Phi ({\boldsymbol{W}}_{M} )\simeq 1{0}^{9} ~{\mathrm{J} }^{- 1} $ for the fusion reaction of D with ${}^{7} \mathrm{Li} $, ${}^{6} \mathrm{Li} $, and D. These data constitute the highest table-top fusion yields and efficiencies obtained to date. The source–target design, constituting of an exploding nanodroplets source driven by a superintense laser and a solid hollow cylinder target, provides the most efficient device for the table-top conversion of laser energy to nuclear energy.Table-top laser $\rightarrow $ nuclear conversion efficiency is comparable to that in giant fusion machines attained to date. The table-top laser energy $\rightarrow $ nuclear energy conversion efficiency within the source–target design is comparable to that obtained to date in the ‘big science’ setups for inertial fusion[2730]. This is evident from the currently available data (Figure 2), where the table-top ‘big science’ fusion $\Psi $ data fall into two domains characterized by different laser pulse powers: (i) the lower pulse power range ($\boldsymbol{W}= 0. 1{\unicode{x2013}} 10~\mathrm{J} $) for table-top cluster NFDCE and for the source–target design; and (ii) the high pulse power range ($\boldsymbol{W}= 6\times 1{0}^{3} {\unicode{x2013}} 3\times 1{0}^{6} ~\mathrm{J} $) for ‘big science’ inertial fusion. From the outline portrayed in Figure 2, we infer that high values of $\Psi ({\boldsymbol{W}}_{M} )$, in the range $1{0}^{- 2} $$1{0}^{- 3} $, can be attained for the fusion of D with ${}^{7} \mathrm{Li} $, ${}^{6} \mathrm{Li} $, and D (Section 4), and with T[26] within the table-top source–target design with a source of Coulomb-exploding large deuterium nanodroplets (${R}_{0} = 300~\mathrm{nm} $) driven by a superintense laser (${I}_{M} = 5\times 1{0}^{19} ~\mathrm{W} \cdot {\mathrm{cm} }^{- 2} $ and ${\boldsymbol{W}}_{M} = 8~\mathrm{J} $). These high $\Psi ({\boldsymbol{W}}_{M} )$ results for the table-top source–target design fall within ${\sim }1$ order of magnitude in comparison with those obtained for DT fusion in ‘big science’ setups, i.e., in the OMEGA laser system ($\boldsymbol{W}= 30~\mathrm{kJ} , Y= 1{0}^{14} $, $\Phi = 3\times 1{0}^{9} ~{\mathrm{J} }^{- 1} $, and $\Psi = 1. 2\times 1{0}^{- 2} $[28]) and in the National Ignition Facility (NIF) system ($\boldsymbol{W}= 1. 43~\mathrm{MJ} , Y= 6\times 1{0}^{14} $, $\Phi = 4. 1\times 1{0}^{8} $, and $\Psi = 1. 3\times 1{0}^{- 3} $[29]).

    References

    [1] J. Jortner, I. Last. ChemPhysChem, 3, 845(2002).

    [2] A. Heidenreich, I. Last, J. Jortner. Proc. Natl. Acad. Sci. USA, 103, 10589(2006).

    [3] J. Zweiback, R. A. Smith, T. E. Cowan, G. Hays, K. B. Wharton, V. P. Yanovsky, T. Ditmire. Phys. Rev. Lett., 84, 2634(2000).

    [4] J. Zweiback, T. E. Cowan, R. A. Smith, J. H. Hartley, R. Howell, C. A. Steinke, G. Hays, K. B. Wharton, J. K. Crane, T. Ditmire. Phys. Rev. Lett., 85, 3640(2000).

    [5] G. Grillon, Ph. Balcou, J.-P. Chambaret, D. Hulin, J. Martino, S. Moustaizis, L. Notebaert, M. Pittman, Th. Pussieux, A. Rousse, J.-Ph. Rousseau, S. Sebban, O. Sublemontier, M. Schmidt. Phys. Rev. Lett., 89, 065005-1(2002).

    [6] K. W. Madison, P. K. Patel, D. Price, A. Edens, M. Allen, T. E. Cowan, J. Zweiback, T. Ditmire. Phys. Plasmas, 11, 270(2004).

    [7] K. W. Madison, P. K. Patel, M. Allen, D. Price, R. Fitzpatrick, T. Ditmire. Phys. Rev. A, 70, 053201(2004).

    [8] H. Y. Lu, J. S. Liu, C. Wang, W. T. Wang, Z. L. Zhou, A. H. Deng, C. Q. Xia, Y. Xu, X. M. Lu, Y. H. Jiang, Y. X. Leng, X. Y. Liang, G. Q. Ni, R. X. Li, Z. Z. Xu. Phys. Rev. A, 80, 051201(R)(2009).

    [9] H. Lu, J. Liu, C. Wang, W. Wang, Z. Zhou, A. Deng, C. Xia, Y. Xu, Y. Leng, G. Ni, R. Li, Z. Xu. Phys. Plasmas, 16, 083107(2009).

    [10] I. Last, J. Jortner. Phys. Rev. Lett., 87, 033401(2001).

    [11] I. Last, J. Jortner. Phys. Rev. A, 64, 063201(2001).

    [12] P. B. Parks, T. E. Cowan, R. B. Stephens, E. M. Campbell. Phys. Rev. A, 63, 063203(2001).

    [13] J. Davis, G. M. Petrov, A. L. Velikovich. Phys. Plasmas, 13, 064501(2006).

    [14] H. Li, J. Liu, Ch. Wang, G. Ni, Ch. J. Kim, R. Li, Zh. Xu. J. Phys. B, 40, 3941(2007).

    [15] H. Li, J. Liu, G. Ni, R. Li, Zh. Xu. Phys. Rev. A, 79, 043204(2009).

    [16] S. Karsch, S. Düsterer, H. Schwoerer, F. Ewald, D. Habs, M. Hegelich, G. Pretzler, A. Puckhov, K. Witte, R. Sauerbrey. Phys. Rev. Lett., 91, 015001(2003).

    [17] S. Ter-Avetisyan, M. Schnürer, D. Hilscher, U. Jahnke, S. Busch, P. V. Nicles, W. Sandner. Phys. Plasmas, 12, 012702(2005).

    [18] I. Last, J. Jortner. Phys. Rev. Lett., 97, 173401(2006).

    [19] I. Last, J. Jortner. Phys. Plasmas, 14, 123102(2007).

    [20] I. Last, F. Peano, J. Jortner, L. O. Silva. Eur. J. Phys. D, 57, 327(2010).

    [21] G. A. Morou, T. Tajima, S. V. Bulanov. Rev. Mod. Phys., 78, 309(2006).

    [22] I. Last, J. Jortner. Phys. Rev. A, 60, 602215(1999).

    [23] A. Heidenreich, I. Last, J. Jortner, O. Kühn, L. Wöste. Analysis and Control of Ultrafast Photoinduced Processes, Vol. 87, 575(2007).

    [24] I. Last, J. Jortner. Chem. Phys., 399, 218(2012).

    [25] I. Last, S. Ron, J. Jortner. Phys. Rev. A, 83, 043202(2011).

    [26] S. Ron, I. Last, J. Jortner. Phys. Plasmas, 19, 112707(2012).

    [27] T. R. Dittrich, B. A. Hammel, C. J. Keane, R. McEachren, R. E. Tuner, S. Haan, L. J. Suter. Phys. Rev. Lett., 73, 2324(1994).

    [28] A. M. Cok, R. S. Craxton, P. W. McKenty. Phys. Plasmas, 15, 082705(2008).

    [29] (2011).

    [30] P. Yu-dong, H. Tian-Xuan, L. Huang, Z. Xia-Yu, P. Xiao-Shi,   Tang-Qi, S. Zi-Feng, C. Jia-Bin, S. Tian-Ming, C. Ming, Y. Rui-Zhen, H. Xiao-An, L. Chao-Guang, Z. Lu, Z. Jia-Hua, J. Long-Fei, C. Bo-Lun, S. Ming, J. Wei, Y. Bo, Y. Ji, L. Ping, L. Hai-Le, J. Shao-En, D. Yong-Kun. Phys. Plasmas, 19, 072708(2012).

    [31] D. J. Rose, M. Clark. Plasmas and Controlled Fusion(1961).

    [32] J. Davis, G. M. Petrov, Tz. Petrova, L. Willingale, A. Maksimchuk, K. Krushelnick. Plasma Phys. Control. Fusion, 52, 045015(2010).

    [33] S. Eliezer, Z. Henis, J. M. Martinez-Val. Nuclear Fusion, 37, 985(1997).

    [34] I. Last, J. Jortner. Phys. Rev. A, 75, 042507(2007).

    [35] I. Last, J. Jortner. Polish J. Chem., 82, 661(2008).

    [36] H. H. Andersen, J. F. Ziegler. Hydrogen Stopping Powers and Ranges in All Elements(1977).

    [37] I. Last, J. Jortner. Phys. Rev. A, 73, 063201(2006).

    [38] I. Last, J. Jortner. J. Chem. Phys., 120, 1336(2004).

    [39] J. Davis, G. M. Petrov. Plasma Phys. Control. Fusion, 50, 065016(2008).

    Isidore Last, Shlomo Ron, Andreas Heidenreich, Joshua Jortner. Coulomb explosion of nanodroplets drives the conversion of laser energy to nuclear energy[J]. High Power Laser Science and Engineering, 2013, 1(2): 02000069
    Download Citation