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Comparison of Influence of the Fast Atom Beam and Ion Beam on the Metal Target

Published online by Cambridge University Press:  01 January 2024

A. Pushkarev*
Affiliation:
Tomsk Polytechnic University, 634050 Tomsk, Russia
A. Prima
Affiliation:
Tomsk Polytechnic University, 634050 Tomsk, Russia
V. Myshkin
Affiliation:
Tomsk Polytechnic University, 634050 Tomsk, Russia
N. Chistyakova
Affiliation:
Tomsk Polytechnic University, 634050 Tomsk, Russia
V. Ezhov
Affiliation:
Tomsk Polytechnic University, 634050 Tomsk, Russia
*
Correspondence should be addressed to A. Pushkarev; [email protected]
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Abstract

A comparative analysis of a fast atom beam and ion beam effect on a metal target in the binary collision model is performed. Irradiation by fast atoms has been shown to more closely correspond to neutron radiation in a nuclear reactor, in terms of the primary knocked-on atom spectrum and the efficiency and mechanism of the radiation defect formation. It was found that upon irradiation by fast carbon atoms with an energy of 0.2-0.3 MeV, the average number of radiation defects in the displacement cascade of one atom is four to five times higher than the calculated values using the SRIM program for ions with the same energy. It is shown that during penetration in the target, the probability of ionization of atoms with energies less than 0.4 MeV is negligible.

Type
Research Article
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This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © 2021 A. Pushkarev et al.

1. Introduction

Charged-particle beams (electrons, ions, and plasma compression flow) are widely used in various technological processes and in the study of samples from structural materials. Thermal quenching (hardening) and hammering of metal products are the oldest methods employed to improve their operational properties. Improving the technological process of quenching can be achieved by increasing the product temperature change rates and processing only the surface layer, without changing the bulk properties. For this purpose, laser radiation [Reference Kano and Inoue1], electron beam [Reference Rotshtein, Ivanov and Markov2, Reference Proskurovsky, Rotshtein, Ozur and Ivanov3], ion beam [Reference Nastasi, Mayer and Wang4], and plasma compression beam [Reference Uglov, Anishchik, Astashynski, Cherenda, Gimro and Kovyazo5] are used. Exposure of a high-intensity pulsed ion beam (HIPIB), with a duration of 100–150 ns and energy density 2-3 J/cm2, provides heating and cooling of the processed product surface layer at ∼108 K/s [Reference Xiao, Shen and Qu6]. When the HIPIB energy density is higher than 3 J/cm2, ablation of the target material begins, forming recoil shock waves in the processed product, and the pressure exceeds 108 Pa [Reference Boyko, Skvortsov, Fortov and Shamanin7, Reference Pushkarev, Isakova, Xiao and Khailov8]. A fast atom beam has many advantages over the ion beam. The use of a powerful beam of fast atoms for the modification of materials reduces its scattering when irradiating dielectric or slightly conductive surfaces [Reference Grigoriev, Melnik, Metel and Volosova9]. Neutral beams are used to heat plasma in fusion experiments [Reference Horiike, Akiba and Araki10, Reference Fantz, Franzen and Berger11].

The development of the nuclear industry, active space exploration, and the study of thermonuclear fusion require the development of structural materials with high radiation resistance, first of all contribution to thermonuclear technology and science with particular emphasis on plasma-wall interactions [Reference Rubel, Brezinsek and Coenen12]. During the operation of the nuclear reactor, neutrons are formed, creating radiation defects in the structural elements of the reactor and reducing their mechanical resistance. It is impossible to prevent defect formation, reducing radiation damage, and it is necessary to ensure maximum efficiency of the defect annealing and restoration of the original structure of materials.

The development of new materials with high radiation resistance requires a high-intensity radiation source. Irradiation of samples in a nuclear reactor requires a long amount of time to process the necessary neutron fluency and postreactor exposure of materials to reduce radiation activity. One of the most important changes neutron radiation causes in metals is swelling [Reference Nordlund, Zinkle and Sand13]. It takes about a year to achieve a regime of noticeable swelling during irradiation by neutrons in a nuclear reactor. This process is faster when irradiated by ions [Reference Was, Jiao and Getto14, Reference Abromeit15]. Therefore, in recent years, simulation methods for the formation of radiation defects have been actively developed. Simulation irradiation of structural materials is carried out using electron beams [Reference Satoh, Abe and Abe16] or ion beams [Reference Was, Jiao and Getto14, Reference Was and Averback17].

However, simulated irradiation by charged-particle beams has significant disadvantages compared to neutron irradiation in a nuclear reactor. The energy spectrum of primarily knocked-out atoms (PKA) in the target with ion irradiation is significantly different from the spectrum with irradiation by neutrons [Reference Was18]. Iron target has about 80% PKA with energies of 30–60 keV after irradiation by neutrons with energies 0.5–5 MeV in the nuclear reactor [Reference Smith, Jakas and Ashworth19]. Formation of radiation defects by ions in metals occurs at low-angle scattering on target atoms, and more than 90% of PKA have energies less than 1 keV [Reference Zinkle and Snead20]. The difference between simulation (by ion or electron irradiation) and nuclear reactor radiation processes does not make it possible to make accurate predictions of radiation resistance of new structural materials in a nuclear reactor. Simulated irradiation of structural materials with accelerated atoms can overcome these disadvantages, but such studies are practically absent. Simulated irradiation of structural materials with accelerated atoms can also simplify and accelerate the study of activation of construction components due to beam loss in heavy-ion accelerators [Reference Katrík, Dieter, Hoffmann, Mustafin and Strašík21] and studies of collective effects in the absorption of accelerated particles in the target [Reference Ren, Deng and Qi22]. Accelerated atoms, when absorbed into the target, have significantly lower electron losses than ions. This makes it possible to increase the yield of isotopes per accelerated particle by hundreds of times. The purpose of this study is to compare the effect of a fast atom beam and ion beam on the metal target.

2. Calculation of the PKA Energy Spectrum

The energy spectrum of the PKA in the target is the most important parameter, determining the spatial distribution of primary radiation defects, duration, and efficiency of their subsequent annealing. Energy spectra of PKA, when irradiating a metal target with neutrons or ions, considerably differ [Reference Was18, Reference Zinkle and Snead20]. Experimental or calculated data of PKA spectra upon absorption of fast atoms in a metal target are absent.

The formation of radiation defects by ions occurs during small-angle scattering on target atoms due to the Coulomb interaction of their nuclei [Reference Nastasi, Mayer and Wang4, Reference Boyko, Skvortsov, Fortov and Shamanin7]. The nuclei radii (3.6⋅10−5 Ǻ for Fe [Reference Slater23]) are significantly less than the distance between atoms in a metal target (lattice constant for α-Fe is 2.9 Ǻ). Therefore, the penetration process of ions and neutrons in the target can be considered in the model of independent binary collisions [Reference Nordlund, Zinkle and Sand13, Reference Was, Jiao and Getto14]. After an elastic collision of two particles, a fast particle (mass m 1) and a target atom (mass m 2), the total momentum and total energy of the colliding particles are preserved. The energy obtained by the PKA after the collision is equal to [Reference Nordlund, Zinkle and Sand13, Reference Was, Jiao and Getto14]

(1) E PKA = E 0 4 m 1 m 2 m 1 + m 2 2 1 cos 2 θ 2 ,

where E 0 is the initial energy of a fast particle (ion, neutron, or fast atom) and θ is the scattering angle of this fast particle.

The probability of ion scattering by target atoms is described by the Rutherford formula:

(2) f i θ = 4 Z 1 Z 2 e 2 E 0 2 1 sin 4 θ / 2 ,

where Z 1 and Z 2 describe the nuclei charges of an ion and PKA, respectively, and e is an electron charge.

The energy spectrum of the PKA is determined by the efficiency of kinetic energy transfer from the fast particle to PKA, equal to the product PKA energy on the probability of scattering. The dependence of the energy transfer efficiency on PKA energy is extreme due to a decrease in PKA energy and an increase in the probability of scattering with an increase in the impact parameter (or decrease in θ), as seen in equations (1) and (2). From equations (1) and (2), we obtain the energy transfer efficiency in the elastic collision of an ion with PKA that is equal to

(3) F i = f i E PKA = K 1 cos θ , where K = 4 m 1 m 2 4 Z 1 Z 2 e 2 2 E 0 m 1 + m 2 2 .

Figure 1 shows the efficiency of energy transfer when different ions are penetrated in an iron target. The efficiency of kinetic energy transfer is normalized, and the integral on all PKA energies (>1 eV) is equal to 1.

Figure 1: The dependence of the kinetic energy transfer efficiency from the PKA energy upon penetration in an iron target.

In modern calculations [Reference Was and Averback17, Reference Was18, Reference Zinkle and Snead20], the same results are obtained for the energy of the primary knocked-out atoms in the target when irradiated with ions—PKA energy after ion irradiation (with energy 0.2–0.4 MeV) is less than 1 keV. It makes no sense to consider more complex models of ion radiation effects on the target, which describe more correctly elastic collisions of the ion with the target atom in the energy range of less than 30–40 eV, when the energy is not enough to form defects.

The process of neutron penetration in the target can also be considered with binary collisions of solid balls [Reference Was, Jiao and Getto14, Reference Abromeit15], whose radii are equal to the neutron radius (3.6⋅10−5 Ǻ) and nuclei radius of the target atom. Their dimensions are much smaller than the distance between atoms in the metal target. The probability of the neutron colliding with the target atom increases with the growth of the impact parameter and can be written as

(4) f n u p = 2 π p 0 r 1 + r 2 2 π p d p = p r 1 + r 2 = cos θ 2 , at p < r 1 + r 2 , f n u p = 0 , at p > r 1 + r 2 ,

where p is the impact parameter and r 1 and r 2 are the neutron and nucleus radii of the target atom, respectively.

From equations (1) and (4), we obtain that the energy transfer efficiency in the elastic collision of a neutron with a PKA is equal to

(5) F n u = f n u E PKA = E 0 4 m 1 m 2 m 1 + m 2 2 1 cos 2 θ 2 cos θ 2 , at p < r 1 + r 2 , F n u = 0 , at p > r 1 + r 2 .

Figure 1 shows the efficiency of energy transmission during neutron penetration in an iron target.

Despite numerous studies of the radiation processes, experimental and calculated data for the penetration of fast atoms in a metal target (PKA spectrum, energy balance, and depth of the penetration) are practically absent. The consideration of these processes in the ion deceleration model is incorrect, as the fast atoms with energy less than 100 keV have an insignificant probability of ionization (see Section 5). A significant difference in the penetration mechanism of ions and fast atoms in the metal target is confirmed by the results of the energy balance study of the accelerated particle. Molecular dynamics (MD) modeling showed that PKA spends more than 60% of its energy on the formation of radiation defects in the target [Reference Was24]. Calculations in SRIM showed that the electronic energy loss for a carbon ion with an energy of 200–250 keV in various targets is 75–85% [Reference Pushkarev, Prima and Zhu25].

A correct analysis of penetration of fast atoms in the iron target is possible in an MD simulation, setting a large energy to one of the target atoms (PKA method) at the beginning of the simulation. However, MD simulation requires large amounts of computation, which can only be implemented on supercomputers. When modeling the processes of a fast atom with an energy of 175 keV, an evolution analysis of 106–107 atoms is needed [Reference Zinkle26]. The reliability of MD simulation largely depends on the choice of interatomic potential [Reference Ackland27]; therefore, the simulation results are inconsistent. In addition, the use of the PKA method in MD simulation makes it possible to calculate the absorption of only the fast target atom.

Numerous experimental studies confirm the correctness of modeling the distribution of the ions over the depth of the target by binary collisions [Reference Smith, Jakas and Ashworth19]. However, when simulating penetration of the fast atom in a metal target by this method, it is necessary to consider the elastic collision of balls with diameters equal to the atom diameter, not nuclei diameter. The radius of the iron atom is 1.56 Ǻ [Reference Slater23], and lattice constant for α-Fe is 2.9 Ǻ. Therefore, to calculate the PKA spectrum when irradiating the target with fast atoms, first consider the simplest option: penetration in the environment of atomic gas. Even with atmospheric pressure, the average distance between atoms exceeds the sizes of the atoms by approximately 10 times, and for the process of collision, it is possible to consider a binary collision model. The probability of the fast atom colliding with the target atom increases with the growth of the impact parameter and can be written as

(6) f a p = 2 π p 0 R 1 + R 2 2 π p d p = p R 1 + R 2 = cos θ 2 , at p < R 1 + R 2 ,

where R 1 and R 2 are the radii of PKA and the fast atom, respectively.

The Lennard-Jones potential can be used to describe the interatomic interaction of a fast atom with an atomic gas [Reference Ackland27, Reference Lennard-Jones28]:

(7) U r = 4 ε R r 12 R r 6 ,

where ε describes the interatomic interaction force in the lattice (depth parameter) and r is the distance to an atom.

For a fast atom with energy that is significantly higher than thermal energy, one can neglect the second stage, which describes the weak attraction caused by Van der Waals forces. The Lennard-Jones potential sharply decreases with increasing distance between atoms, and at a distance of r = 2.3 R, it is 0.016ε. Therefore, the probability of collision can be written as

(8) f a p = p R 1 + R 2 = cos θ 2 , at p < R 1 + R 2 , f a p = cos θ 2 12 , at p > R 1 + R 2 .

Figure 2 shows the dependence of the scattering probability of the carbon atom on an iron atom on the impact parameter. For a carbon atom, R = 0.67 Ǻ, and for an iron atom, R = 1.56 Ǻ. Dependence in Figure 2 is normalized, and the scattering probability integral for all possible values of the impact parameter is equal to one.

Figure 2: The dependence of scattering probability of the fast carbon atom on the iron atom on the impact parameter in the model of solid balls and taking into account the Lennard-Jones potential.

From equations (1) and (8), efficiency of kinetic energy transfer in elastic collision of a fast atom with an atomic gas atom is equal to

(9) F a = f a p E PKA = E 0 4 m 1 m 2 m 1 + m 2 2 1 cos 2 θ 2 cos θ 2 , at p < R 1 + R 2 , F a = f a p E PKA = E 0 4 m 1 m 2 m 1 + m 2 2 1 cos 2 θ 2 cos θ 2 12 , at p > R 1 + R 2 .

Figure 1 shows the efficiency of energy transfer upon penetration of a fast carbon atom in an atomic gas medium.

For a fast atom, the minimum scattering angle in the metal target corresponds to an impact parameter equal to half the distance between the target atoms:

(10) cos θ min 2 = R 1 R 1 + R 2 0.7.

For a fast carbon atom and iron target, θ min = 91°. Figure 3 shows the efficiency of energy transfer upon penetration of the fast carbon atom in an iron target.

Figure 3: The dependence of the kinetic energy transfer efficiency of accelerated particles from the PKA energy upon penetration in an iron target.

The analysis showed that the PKA energy in the iron target, after irradiation by fast atoms (with energy 0.2–0.4 MeV) and neutrons (with energy 1–3 MeV), differs slightly and exceeds 50 keV. PKA energy after ion irradiation (with energy 0.2–0.4 MeV) is less than 1 keV. The PKA energy spectra, upon penetration of accelerated atoms in a solid target and gas, differ only in the low-energy area.

3. Analysis of the Spatial Distribution of Radiation Defects

The analysis of the spatial distribution of radiation defects in the target confirms the correctness of the PKA energy spectrum calculations when irradiating the target by fast atoms. The MD simulation shows [Reference Cai, Li and Yip29] that when the PKA energy is higher than the critical value of 10 keV (corresponding to neutron irradiation), subcascades are formed in the iron target, which indicates the transfer of a large amount of energy in elastic collisions with the target atoms. Irradiation of materials by electrons or ions leads to the appearance of mostly isolated interstitial atoms, vacancies, and small clusters of these point defects due to low PKA energy (0.1–1 keV, see Figure 1).

The generation mode of radiation defects in the metal target upon irradiation by fast atoms differs significantly from the mode upon irradiation by ions and corresponds more to the mode upon irradiation by neutrons. More than 90% of the PKA in the target after irradiation by fast atoms (with energy 0.2–0.4 MeV) have energies of more than 50 keV (Figure 3). These PKA will form subcascades, rather than isolated interstitial atoms and vacancies.

The correctness of the PKA energy spectrum calculations, when irradiating the target with accelerated atoms, is also confirmed by the analysis of the scattering angle of the accelerated carbon atom, which is 90–120° during penetration in an iron target (Figure 4).

Figure 4: Dependence of energy transfer efficiency of accelerated particles on scattering angle in the iron target.

The MD simulation also confirms that the PKA scattering angle is higher than 90° (Figure 5) [Reference Zinkle26], and the formation of subcascades is perpendicular to the direction of the PKA movement.

Figure 5: SRIM simulation of C+ ions with 250 keV energy in an iron target (a) and MD simulations of PKA displacement cascades in iron (b) [Reference Zinkle26].

The fast atom and PKA scattering in the target occurs mainly at a high angle, which provides a weak connection between penetration in the target and the fast atom energy. In low-angle ion scattering in a metal target, penetration is proportional to energy, allowing the term “linear energy loss” to be used when considering the elastic and nonelastic interactions of the ion with the target [Reference Was24].

4. Investigation of the Number of Radiation Defects

In implantation and thermal modification of the metal sample surface layer, ions and fast atoms with the same energy will have the same effect. However, the efficiency of the radiation defect formation by fast atoms is higher than for ions with the same kinetic energy, as the energy losses by fast atoms are less. An MD simulation has shown that the PKA consumes more than 60% of its energy to form radiation defects in the target [Reference Stoller30]. When irradiating a metal target by ions, the main part of their kinetic energy is spent on the electronic stopping, without the formation of radiation defects [Reference Was, Jiao and Getto14, Reference Abromeit15]. Calculation in SRIM [Reference Ziegler, Biersack and Littmark31, Reference Ziegler32] has shown that the electronic energy loss for a carbon ion with an energy of 200–250 keV in various targets is 75–85%. Therefore, we performed experimental studies of radiation defects upon irradiation of a metal target by a fast atom pulsed beam.

The experiments were carried out using a TEMP-6 accelerator (accelerating voltage 250–300 kV and pulse duration 150 ns) [Reference Zhu, Lei and Ma33], consisting of a Marx generator, a pulsed forming line, and a vacuum ion diode with self-magnetic insulation of electrons. The metal mesh in the field of ion transportation increased the charge exchange between the ions and residual gas molecules in the gas layer of desorbed molecules adjacent to the mesh, and the energy of fast atoms, in the HIPIB total energy, increased from 20 to 98% [Reference Prima, Pushkarev, Zhang, Li, Zhu and Lei34]. For analysis of the HIPIB parameters, we used thermal imaging diagnostics of the energy density (spatial resolution of 1-2 mm) [Reference Davis, Bartsch, Olson, Rej and Waganaar35, Reference Isakova and Pushkarev36] and time-of-flight diagnostics of the beam composition (time resolution of 1 ns) [Reference Pushkarev, Isakova and Prima37].

These experiments were performed on a target with dimensions that were much smaller than the transverse dimensions of the fast atom beam. This ensured uniform irradiation and prevented the loss of thermal energy from the heated area due to thermal conductivity. A disc made of stainless steel foil, 0.1 mm thick and 10 mm in diameter, was installed in the central hole of a large stainless steel foil and was fixed with a thin stainless steel wire, with a 0.1 mm diameter.

The number of radiation defects was determined using calorimetric diagnostics, which is based on the comparison of the experimental power of energy loss in the target and the calculated power of thermal radiation when the target is cooled after irradiation by a fast atom beam or ions [Reference Pushkarev, Prima and Zhu25]. The number of radiation defects (vacancies + interstitial atoms) generated in the target was calculated from the following ratio:

(11) N d = 2 E a n E d ,

where E an is the energy of radiation defect annihilation in the target after irradiation and E d is the threshold energy for radiation defect formation.

Our studies have shown that radiation defects can be divided into two groups: fast defects that are annihilated before the target cooling measurement (within 0.1 s after irradiation for 150 ns) and slow defects that migrate to the target from their formation point and are, then, annihilated over tens of seconds [Reference Prima, Zyryanova, Pereday and Medvedsky38]. Figure 6 shows the dependence of the number of radiation defects in the target on the absorbed beam energy [Reference Prima, Zyryanova, Pereday and Medvedsky38]. We calculated the number of radiation defects for a threshold energy of 40 eV for the iron target [39].

Figure 6: Dependence of the number of fast and slow defects on the absorbed beam energy in a stainless steel target.

Our research has shown that the dependence of the number of radiation defects in the target on the absorbed energy of the beam is described by a linear function (Figure 6): N d = K d ·E sum, where K d is the coefficient equal to the number of radiation defects formed in the target by an ion beam with an energy of 1 J.

One of the main parameters, calculated when modeling the formation of radiation defects in the target, is the number of defects in the cascade formed by a single accelerated particle. The average number of radiation defects in the displacement cascade can be calculated by the following ratio:

(12) n d = K d E atom ,

where E atom is the average energy of a fast atom in the beam. Table 1 shows the calculation of the number of defects in the fast carbon atom cascade.

Table 1: Number of defects in the fast carbon atom cascade.

In addition to experimental studies on the formation of radiation defects during irradiation of a metal target, we performed a simulation with SRIM. In the SRIM simulation, we calculated the total number of vacancies and interstitial atoms produced in the ion C+ cascade with a lattice binding energy of 3 eV and a threshold energy of 40 eV. The SRIM simulation results for an ion energy of 200 keV are shown in Table 1. The simulation showed that the number of radiation defects in the cascade of С+ ions (N SRIM) is four to five times lower than the experimental values (N sum). These results confirm higher efficiency of radiation defect formation by fast atoms compared to ions.

5. Fast Atom Ionization upon Absorption in the Target

The analysis showed that irradiation of a metal target by fast atoms is more consistent with radiation by neutrons in a nuclear reactor, in terms of the PKA spectrum, efficiency, and mechanism of radiation defect formation. However, unlike neutrons, fast atoms can be ionized during penetration in a target; the energy required to remove an electron does not exceed 30 eV and is significantly less than its kinetic energy.

The ion charge exchange was discovered by Henderson through experiments in which α particles (5.6 MeV, α-radon decay) passed through foil of mica or gold [Reference Henderson40]. It was noted that after the passage of the foil, singly charged He+ ions and neutral He atoms appeared, which was explained by the capture of electrons by α particles in the target. The MD simulation indicated absence confirmation of fast atom ionization during absorption of ions and neutrons in the metal target [Reference Cai, Li and Yip29]. At PKA energies less than 200 keV, atoms, not ions, form radiation defects in the iron target.

The processes of elastic collisions, stripping (increasing the multiplicity of ionization), and charge exchange of an ion with target atoms are described in the binary collision approximation model [Reference Nordlund, Zinkle and Sand13, Reference Was, Jiao and Getto14]. It was shown in [Reference Tolstikhina and Shevelko41] that at a high ion energy and with an increase in the density of the medium, the charge exchange cross section decreases by 10–15%, and the ionization cross section increases, since the incident ion is ionized, not only from the equilibrium but also from the excited states. Therefore, the processes of changing the charge state of ions and fast atoms during transportation in a solid and gaseous target will differ slightly.

The first research on changing the charge state of an ion during transportation in gas was carried out by Bohr [Reference Bohr42]. It was found that when the ion velocity is less than the electron velocity in the orbit of the hydrogen atom (2.2⋅108 cm/s), the electron is captured (charge exchange). This condition corresponds to an ion energy less than 20.5 keV/nucleon or 250 keV for a carbon ion. The cross section for resonant proton charge exchange (with an energy of 20 keV/nucleon) by atomic hydrogen is 5⋅10−16 cm2, and the ionization cross section is much smaller, 6⋅10−17 cm2 [Reference Bransden and Mcdowell43]. The monograph [Reference Betz44] presents the experimental and calculated cross-section values for the charge exchange and ionization of heavy ions upon absorption in gaseous and solid targets. When an iodine ion, with an energy less than 5 MeV, passes through hydrogen and oxygen, the cross section of capture of one electron is much larger than the ionization cross section. Tolstikhina and Shevelko [Reference Tolstikhina and Shevelko45] reviewed experimental data and theoretical methods for calculating the effective cross sections for charge exchange and ionization of multiply charged ions colliding with neutral atoms in a gas at energies up to 10 GeV/nucleon. Such processes, with a change in the charge state, occur with high probability (total cross sections: 10−14–10−16 cm2). It was shown that at an ion energy less than 10 MeV/nucleon, charge exchange processes mainly occur with a decrease in the ionization rate. Fast carbon atoms obtained at the TEMP-6 accelerator have an energy of 250–300 keV, and upon absorption in the target, charge exchange, rather than ionization, is more likely.

The results of an experimental study of the fast atom generation in an ion diode with self-magnetic insulation of electrons are presented in our article [Reference Pushkarev, Isakova and Khaylov46]. The HIPIB energy density was measured using infrared imaging diagnostics and was calculated using the ion current density and accelerated voltage. The energy density from the infrared measurements exceeded measurements from the ion current density, indicating that fast atoms are present in the beam. Our studies have shown that the use of a metal mesh in the field of the HIPIB transportation increases the energy of fast atoms in the HIPIB total energy from 15–30 to 98%. The total energy of the combined beam (ions + fast atoms) does not change (considering the optical transparency of the mesh).

Fast atoms in an ion diode are produced through charge exchange between the ions and residential gas molecules in the gas layer adjusting the mesh. During desorption of molecules from the metal mesh surface, the thickness of the sheath adjusting the mesh exceeds, by 5–15 times, the charge exchange length of the ions in the processes C+ + N2 ⟶ C0 and C+ + O2 ⟶ C0 [Reference Novikov and Teplova47Reference Serenkov, Il’in and Oparin49]. When generating N2+ ions, the use of a metal mesh in the transport region ensures recharging of N2+ ⟶ N+ ions.

6. Conclusion

The performed analysis showed that pulsed beams of fast atoms are most effective in simulated radiation exposure of structural materials. Irradiation of a metal target by fast atoms is more consistent with neutron irradiation in a nuclear reactor, according to the PKA spectrum, efficiency, and radiation defect formation mechanism. The PKA energy in the target, irradiated with fast atoms (with an energy of 200 keV) and neutrons (with an energy of 3 MeV), exceeds 10 keV, and the PKA energy after ion irradiation (with an energy of 200 keV) is less than 100 eV. The computer simulation showed that the number of radiation defects in the cascade of С+ ions is four to five times lower than the experimental values in the cascade of carbon atom with the same energy.

The PKA energy spectrum upon irradiation of a metal target by fast atoms, with an energy of 200–600 keV, more fully corresponds to the PKA spectrum upon irradiation by neutrons formed in the fission reaction 235U in a nuclear reactor for targets made of titanium, copper, zirconium, etc. Irradiation with a beam of fast atoms makes it possible to study the radiation resistance of dielectric and weakly conducting materials, which significantly expands the scope of the installation.

Unlike a neutron, an accelerated atom can be ionized during absorption in a target; the energy required to remove an electron is much less than its kinetic energy. However, at the energy of fast atoms, 200–600 keV, the ion charge exchange cross section during penetration in the target is significantly higher than the ionization cross section, and the ionization probability is negligible. High efficiency of ion charge exchange during the fast atom pulsed beam formation in the diode with passive anode, MD simulation of the displacement cascade formation during the penetration of ions and neutrons in the target, and formation of singly charged He+ ions and neutral helium atoms when α particles pass through the foil confirm the low probability of ionization of accelerated atoms during absorption in the target.

Data Availability

Hyperlinks to publicly archived datasets analyzed or generated during the study are listed in the references.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

All authors contributed equally to this work.

Acknowledgments

This study was supported by the Russian Foundation for Basic Research, project no. 19-38-90001.

References

Kano, S. and Inoue, T., “Surface softening and hardening of WC-Co using pulsed laser irradiation,” Surface and Coatings Technology, vol. 201, no. 1-2, pp. 223229, 2006.10.1016/j.surfcoat.2005.11.126CrossRefGoogle Scholar
Rotshtein, V., Ivanov, Y., and Markov, A., “Surface treatment of materials with low-energy, high-current electron beams,” Materials surface Processing by Directed Energy Techniques, European Materials Research Society, Strasbourg, France, pp. 205240, 2006.10.1016/B978-008044496-3/50007-1CrossRefGoogle Scholar
Proskurovsky, D. I., Rotshtein, V. P., Ozur, G. T., and Ivanov, Yu.F., “Markov Physical foundations for surface treatment of materials with low energy, high current electron beams,” Surface and Coatings Technology, vol. 125, no. 1–3, pp. 4956, 2000.10.1016/S0257-8972(99)00604-0CrossRefGoogle Scholar
Nastasi, M., Mayer, J. W., and Wang, Y., Ion Beam Analysis: Fundamentals and Applications, CRC Press, Boca Raton, FL, USA, 2014.10.1201/b17310CrossRefGoogle Scholar
Uglov, V. V., Anishchik, V. M., Astashynski, V. M., Cherenda, N. N., Gimro, I. G., and Kovyazo, A. V., “Modification of WC hard alloy by compressive plasma flow,” Surface and Coatings Technology, vol. 200, no. 1–4, pp. 245249, 2005.10.1016/j.surfcoat.2005.02.079CrossRefGoogle Scholar
Xiao, Yu, Shen, J., Qu, M. et al., “Distribution and evolution of thermal field formed by intense pulsed ion beam on thin metal target,” Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 365, pp. 225229, 2015.Google Scholar
Boyko, V. I., Skvortsov, V. A., Fortov, V. E., and Shamanin, I. V., The Charged Particles Pulsed Beams Interaction with Matter, Fizmatlit, Moscow, Russia, in Russian, 2003.Google Scholar
Pushkarev, A. I., Isakova, Y. I., Xiao, Y., and Khailov, I. P., “Characterization of intense ion beam energy density and beam induced pressure on the target with acoustic diagnostics,” Review of Scientific Instruments, vol. 84, Article ID 083304, 2013.10.1063/1.4818667CrossRefGoogle ScholarPubMed
Grigoriev, S. N., Melnik, Y. A., Metel, A. S., and Volosova, M. A., “Focused beams of fast neutral atoms in glow discharge plasma,” Journal of Applied Physics, vol. 121, no. 22, Article ID 223302, 2017.10.1063/1.4985249CrossRefGoogle Scholar
Horiike, H., Akiba, M., Araki, M. et al., “Extraction electrode for a 100-kV, 40-A, 10-s ion source,” Fusion Technology, vol. 7, no. 2, pp. 171179, 1985.10.13182/FST85-A24532CrossRefGoogle Scholar
Fantz, U., Franzen, P., Berger, W. K. M. et al., “Negative ion RF sources for ITER NBI: status of the development and recent achievements plasma,” Physics and Controlled Fusion, vol. 49, no. 12B, p. B563, 2007.10.1088/0741-3335/49/12B/S53CrossRefGoogle Scholar
Rubel, M., Brezinsek, S., Coenen, J. W. et al., “Overview of wall probes for erosion and deposition studies in the TEXTOR tokamak,” Matter and Radiation at Extremes, vol. 2, no. 3, p. 87, 2017.10.1016/j.mre.2017.03.002CrossRefGoogle Scholar
Nordlund, K., Zinkle, S. J., Sand, A. E. et al., “Primary radiation damage: a review of current understanding and models,” Journal of Nuclear Materials, vol. 512, pp. 450479, 2018.10.1016/j.jnucmat.2018.10.027CrossRefGoogle Scholar
Was, G. S., Jiao, Z., Getto, E. et al., “Emulation of reactor irradiation damage using ion beams,” Scripta Materialia, vol. 88, pp. 3336, 2014.10.1016/j.scriptamat.2014.06.003CrossRefGoogle Scholar
Abromeit, C., “Aspects of simulation of neutron damage by ion irradiation,” Journal of Nuclear Materials, vol. 216, pp. 7896, 1994.10.1016/0022-3115(94)90008-6CrossRefGoogle Scholar
Satoh, Y., Abe, Y., Abe, H. et al., “Vacancy effects on one-dimensional migration of interstitial clusters in iron under electron irradiation at low temperatures,” Philosophical Magazine, vol. 96, no. 21, pp. 22192242, 2016.10.1080/14786435.2016.1194533CrossRefGoogle Scholar
Was, G. S., Averback, R. S., “Radiation damage using ion beams,” in Comprehensive Nuclear Materials, vol. 1, pp. 195221, Elsevier, Amsterdam, Netherlands, 2012.10.1016/B978-0-08-056033-5.00007-0CrossRefGoogle Scholar
Was, G. S., “Challenges to the use of ion irradiation for emulating reactor irradiation,” Journal of Materials Research, vol. 30, no. 9, pp. 11581182, 2015.10.1557/jmr.2015.73CrossRefGoogle Scholar
Smith, R., Jakas, M., Ashworth, D. et al., “Atomic and ion collisions in solids and surfaces,” Theory, Simulation and Application, p. 309, Cambridge University Press, Cambridge, UK, 2005.Google Scholar
Zinkle, S. J. and Snead, L. L., “Opportunities and limitations for ion beams in radiation effects studies: bridging critical gaps between charged particle and neutron irradiations,” Scripta Materialia, vol. 143, pp. 154160, 2018.10.1016/j.scriptamat.2017.06.041CrossRefGoogle Scholar
Katrík, P., Dieter, H., Hoffmann, H., Mustafin, E., and Strašík, I., “Experimental study of residual activity induced in aluminum targets irradiated by high-energy heavy-ion beams: a comparison of experimental data and FLUKA simulations,” Matter and Radiation at Extremes, vol. 4, no. 5, Article ID 055403, 2019.10.1063/1.5097035CrossRefGoogle Scholar
Ren, J., Deng, Z., Qi, W. et al., “Observation of a high degree of stopping for laser-accelerated intense proton beams in dense ionized matter,” Nature Communications, vol. 11, p. 5157, 2020.10.1038/s41467-020-18986-5CrossRefGoogle ScholarPubMed
Slater, J. C., “Atomic radii in crystals,” The Journal of Chemical Physics, vol. 41, no. 10, pp. 31993204, 1964.10.1063/1.1725697CrossRefGoogle Scholar
Was, G. S., Fundamentals of Radiation Materials Science. Metals and Alloys, Springer, Berlin, Germany, 2017.10.1007/978-1-4939-3438-6CrossRefGoogle Scholar
Pushkarev, A., Prima, A., Zhu, X. P. et al., “Thermal imaging diagnostics of fast radiation processes,” in Proceedings of the 6th International Congress on Energy Fluxes and Radiation Effects (EFRE 2018): Abstracts: Tomsk: Publishing House of IAO SB RAS, p. 516, Tomsk, Russia, September 2018.Google Scholar
Zinkle, S. J., “Radiation-induced effects on microstructure,” in Comprehensive Nuclear Materials, vol. 1, pp. 6598, Elsevier, Amsterdam, Netherlands, 2012.10.1016/B978-0-08-056033-5.00003-3CrossRefGoogle Scholar
Ackland, G. J., “Interatomic potential development,” in Comprehensive Nuclear Materials, vol. 1, pp. 267291, Elsevier, Amsterdam, Netherlands, 2012.10.1016/B978-0-08-056033-5.00026-4CrossRefGoogle Scholar
Lennard-Jones, J. E., “On the determination of molecular fields,” Proceedings of the Royal Society of London Series A, vol. 106, no. 738, pp. 463477, 1924.Google Scholar
Cai, W., Li, J., and Yip, S., “Molecular dynamics,” in Comprehensive Nuclear Materials, vol. 1, pp. 249265, Elsevier, Amsterdam, Netherlands, 2012.10.1016/B978-0-08-056033-5.00128-2CrossRefGoogle Scholar
Stoller, R. E., “Primary radiation damage formation,” Comprehensive Nuclear Materials, vol. 1, pp. 293332, 2012.10.1016/B978-0-08-056033-5.00027-6CrossRefGoogle Scholar
Ziegler, J. F., Biersack, J. P., and Littmark, U., The Stopping and Range of Ions in Solids, Pergamon, New York, NY, USA, 1985.Google Scholar
Ziegler, J. F., “SRIM & TRIM”, 2013, http://www.srim.org/.Google Scholar
Zhu, X. P., Lei, M. K., and Ma, T. C., “Characterization of a high-intensity bipolar-mode pulsed ion source for surface modification of materials,” Review of Scientific Instruments, vol. 73, no. 4, pp. 17281733, 2002.10.1063/1.1455137CrossRefGoogle Scholar
Prima, A. I., Pushkarev, A. I., Zhang, C., Li, Y., Zhu, X. P., and Lei, M. K., Laboratory Stand for Imitation Radiation Irradiation with Accelerated Atoms, XVI Kurchatov Interdisciplinary Youth Scientific School, Moscow, Russia, 2019.Google Scholar
Davis, H. A., Bartsch, R. R., Olson, J. C., Rej, D. J., and Waganaar, W. J., “Intense ion beam optimization and characterization with infrared imaging,” Journal of Applied Physics, vol. 82, no. 7, pp. 32233231, 1997.10.1063/1.365629CrossRefGoogle Scholar
Isakova, Y. I. and Pushkarev, A. I., “Visualization and analysis of pulsed ion beam energy density profile with infrared imaging,” Infrared Physics & Technology, vol. 89, pp. 140146, 2018.10.1016/j.infrared.2017.12.008CrossRefGoogle Scholar
Pushkarev, A. I., Isakova, Y. I., and Prima, A. I., “High-intensity pulsed ion beam composition and the energy spectrum using the time-of-flight method,” Laser and Particle Beams, vol. 36, no. 2, pp. 210218, 2018.10.1017/S0263034618000186CrossRefGoogle Scholar
Prima, A., Zyryanova, R., Pereday, N., and Medvedsky, V., “Determination of radiation defects quantity in metals under irradiation by heavy carbon ions,” Proceedings of the 24th International Conference on Ion-Surface Interactions, pp. 186189, Moscow, Russia, August 2019.Google Scholar
ASTM E521-16, Standard Practice for Investigating the Effects of Neutron Radiation Damage Using Charged-Particle Irradiation, ASTM International, West Conshohocken, PA, USA, 2016, http://www.astm.org.Google Scholar
Henderson, G. H., “Changes in the charge of an α-particle passing through matter,” Proceedings of the Royal Society of London. Series A, vol. 102, pp. 496506, 1923.Google Scholar
Tolstikhina, I. Y. and Shevelko, V. P., “Influence of atomic processes on charge states and fractions of fast heavy ions passing through gaseous, solid, and plasma targets,” Physics-Uspekhi, vol. 61, no. 3, pp. 247279, 2018.10.3367/UFNe.2017.02.038071CrossRefGoogle Scholar
Bohr, N., The Penetration of Atomic Particles through Matter, Munksgaard, Copenhagen, Denmark, 1948.Google Scholar
Bransden, B. H. and Mcdowell, M. R. C., Charge Exchange and the Theory of Ion-Atom Collisions, Clarendon Press, Oxford, UK, 1992.Google Scholar
Betz, H.-D., “Charge states and charge-changing cross sections of fast heavy ions penetrating through gaseous and solid media,” Reviews of Modern Physics, vol. 44, no. 3, p. 465, 1972.10.1103/RevModPhys.44.465CrossRefGoogle Scholar
Tolstikhina, I. Y. and Shevelko, V. P., “Collision processes involving heavy many-electron ions interacting with neutral atoms,” Physics-Uspekhi, vol. 56, no. 3, pp. 213242, 2013.10.3367/UFNe.0183.201303a.0225CrossRefGoogle Scholar
Pushkarev, А. I., Isakova, Y. I., and Khaylov, I. P., “Experimental evidence of energetic neutrals production in an ion diode,” Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 343, pp. 138145, 2015.10.1016/j.nimb.2014.11.021CrossRefGoogle Scholar
Novikov, N. V. and Teplova, Ya.A., “Database on charge-changing cross sections in ion-atom collisions,” Journal of Physics: Conference Series, vol. 194, Article ID 082032, 2009.Google Scholar
Rottmann, L. M., Bruch, R., Neill, P., Drexler, C., DuBois, R. D., and Toburen, L. H., “Single-electron capture by 100-1500-keV C+ ions in several atomic and molecular targets,” Physical Review A, vol. 46, no. 7, pp. 38833888, 1992.10.1103/PhysRevA.46.3883CrossRefGoogle ScholarPubMed
Serenkov, I. T. and Il’in, P. I., Oparin, V. A., ““Solov’v,” Journal of Experimental and Theoretical Physics, vol. 68, pp. 16861692, 1975.Google Scholar
Figure 0

Figure 1: The dependence of the kinetic energy transfer efficiency from the PKA energy upon penetration in an iron target.

Figure 1

Figure 2: The dependence of scattering probability of the fast carbon atom on the iron atom on the impact parameter in the model of solid balls and taking into account the Lennard-Jones potential.

Figure 2

Figure 3: The dependence of the kinetic energy transfer efficiency of accelerated particles from the PKA energy upon penetration in an iron target.

Figure 3

Figure 4: Dependence of energy transfer efficiency of accelerated particles on scattering angle in the iron target.

Figure 4

Figure 5: SRIM simulation of C+ ions with 250 keV energy in an iron target (a) and MD simulations of PKA displacement cascades in iron (b) [26].

Figure 5

Figure 6: Dependence of the number of fast and slow defects on the absorbed beam energy in a stainless steel target.

Figure 6

Table 1: Number of defects in the fast carbon atom cascade.