logo

Investigation of multinucleon transfer processes in the Langevin equation model

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH

Investigation of multinucleon transfer processes in the Langevin equation model

Ying Zou
Ming-Hao Zhang
Mei-Chen Wang
Yu-Hai Zhang
Feng-Shou Zhang
Nuclear Science and TechniquesVol.35, No.10Article number 180Published in print Oct 2024Available online 27 Sep 2024
22809

Multinucleon transfer in low-energy heavy-ion collisions is increasingly considered a promising approach for generating exotic nuclei. Understanding the complex mechanisms involved in multinucleon transfer processes presents significant challenges for the theoretical investigation of nuclear reactions. A Langevin equation model was developed and employed to investigate multinucleon transfer processes. The 40Ar + 232Th reaction was simulated, and the calculated Wilczyński plot was used to verify the model. Additionally, to study the dynamics of multinucleon transfer reactions, the 136Xe + 238U and 136Xe + 209Bi reactions were simulated, and the corresponding TKE-mass and angular distributions were computed to analyze the energy dissipation and scattering angles. This investigation enhances our understanding of the dynamics involved in multinucleon transfer processes.

Reaction mechanismsMultinucleon transfer reactionsLangevin equationsWilczyński PlotExotic nuclei
1

Introduction

Between 1969 and 1995, approximately 75 new neutron-rich nuclides were discovered via multinucleon transfer (MNT) reactions [1]; however, no new transuranium or superheavy nuclides were detected using MNT reactions. The constraints of projectile fragmentation (PF) and fusion-evaporation (FE) reactions have rekindled interest in MNT for generating exotic nuclei, particularly those in the N=126 and superheavy regions [2-5].

Zagrebaev et al. first proposed that the reaction 136Xe + 208Pb at energies near the Coulomb barrier was suitable for creating new neutron-rich isotopes near the neutron shell closure at N = 126 [6]. More than 50 unknown nuclei may be produced in such a reaction with cross-sections of not less than 1 μb. Building on this, Dubna conducted MNT reaction experiments in 2012 with 136Xe + 208Pb [7], which resulted in the transfers of up to 16 nucleons from Xe to Pb. Experimental results from the 136Xe + 198Pt reaction obtained at Grand Accélérateur National d’Ions Lourds (GANIL) in 2015 revealed that the cross-sections for producing N = 126 nuclei in MNT reactions significantly exceed those from PF [8]. Most recently, Dubna reported the transfer of approximately 27 nucleons from the projectile to the target nucleus in the 136Xe + 238U reaction [9]. MNT reactions can also be used to synthesize transuranium nuclei. In 2018, experiments conducted at Texas A&M University using the 238U + 232Th reaction compared the energies and half-lives of alpha emitters with known and predicted values, revealing the production of new elements with atomic numbers up to 116 [10]. A breakthrough in the production of new nuclides using the MNT process was the reaction 48Ca + 248Cm conducted at GSI [11]. Five new neutron-deficient isotopes, including 216U, 219Np, 223Am, 229Am and 233Bk were discovered. In 2023, Niwase et al. synthesized the new neutron-rich isotope 241U via the MNT reaction 238U + 198Pt at the KEK Isotope Separation System (KISS) facility [12].

The MNT reactions involve quasi-elastic (QE), deep inelastic (DI), and quasi-fission (QF) processes. The 40Ar + 232Th reaction is a representative experiment illustrating the dynamic mechanism of the MNT reactions[13]. Subsequently, Wilczyński effectively explained this experiment based on friction theory and scattering into negative angles [14].

The theoretical frameworks employed in investigating the MNT reactions include both phenomenological and microscopic models. Phenomenological approaches include the Langevin equations [15-22], GRAZING model [23-25], and dinuclear system (DNS) model [26-43]. Microscopic approaches include the improved quantum molecular dynamics model (ImQMD) [44-50] and time-dependent Hartree-Fock approach (TDHF) [51-55]. These theoretical models of heavy-ion collisions have guided the production of new exotic nuclei [56-64].

To comprehensively analyze heavy-ion collisions, Zagrebaev and Greiner applied the Langevin equations to MNT reactions, covering the entire process from the entrance stage to the formation of the fused system, including the DI, QF, and fission processes. They used the evolution of mass asymmetry to describe nucleon transfer [16, 17] and subsequently introduced charge asymmetry as a degree of freedom to account for the equilibration of the neutron-to-proton ratio [18, 19]. Subsequent studies further developed the Langevin model [65-68]. As a phenomenological framework, the current Langevin approach considers only microscopic effects by incorporating the shell correction energy into the driving potential, regardless of other phenomena. Therefore, to improve the Langevin approach for self-consistently simulating MNT processes including microscopic mechanisms, a Langevin equation model was developed by simplifying the current framework and was employed to simulate the dynamics of MNT reactions in the initial stage. Calculations of the Wilczyński plot were used to verify that the simplified model adequately described energy dissipation and angular distributions, thereby demonstrating that fluctuation-dissipation in the friction mechanism primarily affects energy dissipation during MNT reactions, particularly for the DI and QF processes.

The remainder of this article is organized as follows: Sect. 2 introduces the Langevin equations, while Sect. 3 presents the results and discussion. Finally, a summay of this work is presented in Sect. 4.

2

Theoretical model

In this study, we employed a two-center parameterization to describe the shape of the nuclear system [69], as shown in Fig. 1. We used three collective coordinates as follows: Z0/Rcn, where z0 is the distance between the centers of two oscillator potentials, made dimensionless by the radius of the spherical compound nucleus RCN; δ, representing the deformation of the fragment; and ηA, the mass asymmetry of the colliding nuclei, defined as ηA=(A1A2)/(A1+A2). A1 and A2 represent the mass numbers of the target and projectile, respectively, and indicate the mass numbers of the left and right components of the system. We assumed that each fragment underwent identical deformation, denoted by δ=δ1=δ2, defined by δi=(3βi3)/(1+2βi) with βi=ai/bi. Here, a and b represent the half-lengths of the axes of the ellipse in the z0-direction and orthogonal to z0, respectively.

Fig. 1
The profile function ρ(z) of two-center parameterization
pic

The collective coordinates qi=r (i.e., z0/Rcn),ηA,δ and their conjugate momenta pi are driven by the general form of the Langevin equations: dqidt=(m1)ijpj,dpidt=Vqi12pj(m1)jkqipkγij(m1)jkpk+gijΓj(t), (1) where the shape-dependent transport coefficients mij and γij correspond to the inertia and friction tensors, respectively. Γi(t) are normalized random variables with a Gaussian distribution, and gij are the random force amplitudes determined from the fluctuation dissipation theorem, gijgjk=γikT. The nuclear temperature T is defined as T=E*/a, where a, the level density parameter is assigned a constant value of Acn/10 MeV1. The excitation energy E* is given by E*=EtotVEkin, where the total, potential, and kinetic energies are represented by Etot (Ec.m.), V, and Ekin=pj(m1)jkpk/2, respectively.

The inertia tensor components mij associated with the collective coordinates are calculated using the Werner-Wheeler approach for incompressible irrotational flow [70, 71]. Using the wall-plus-window approach of one-body dissipation, the friction tensor γij describes the dissipation of necked-in nuclear shapes featuring two fragments connected by a well-pronounced neck [71-74]. The potential energy V includes both the rotational energy Vrot and potential energy VFRLDM obtained within the finite-range liquid-drop model (FRLDM) replacing the surface energy of the liquid-drop model with a Yukawa-plus-exponential potential nuclear energy [75-78]. The formulae and parameters in our model are consistent with Eqs. (29-34) in Ref. [78]. Consequently, the potential energy utilized is adiabatic and provides the nuclear mass for a uniform charge distribution (ηZ=ηA).

The evolution of the angle θ, which indicates the relative orientation of the nuclei, and the relative angular momentum l are governed by the following equations: dθdt=l12,dldt=Vθγtanl12Rc.m.2+Rc.m.γtanT Γtan(t). (2) Here, 12 is the inertia moment of the relative motion; Rc.m. is the distance between the mass centers of the nuclei; and γtan is the tangential friction force of the colliding nuclei. γtan is assumed to vary with the radial friction γtan=γtan0γrr, where γtan0 is an adjustable parameter.

Two-center parameterization employs ϵ to describe the neck of a mononucleus system. To reduce the computational complexity, we assume that ϵ evolves over time instead of being included as a collective coordinate. The value of ϵ shifts from 1 in the entrance channel to 0.35 in the exit channel [79]. Therefore, the potential energy also undergoes a transition from entrance to exit as follows: V(q;τ)=V(q,ϵ=1)fϵ(τ)+V(q,ϵ=0.35)[1fϵ(τ)],f(τ)=exp(τ/τϵ), (3) where τ represents the relaxation time of the neck and τϵ is the parameter whose suggested value is 10-21 s [20].

Notably, if nucleon transfer is considered under the evolution of mass asymmetry ηA driven by Eq. (1), the friction γr and γηA are zero before the two separated nuclei come into contact and form mononucleus, indicating the absence of nucleon transfer. However, this does not correspond to reality, particularly when simulating large-impact parameters and grazing processes, where it diverges from experimental results. Consequently, to describe nucleon transfer before the contact point, this study employs the inertialess-reduced Langevin equation [16], which is derived from the corresponding master equation for the distribution function [80]. Because of the different equations used to calculate nucleon transfer at various stages, their transition requires further consideration.

Initially, Zagrebaev and Greiner utilized inertialess-reduced Langevin equations for mass and charge asymmetries to comprehensively handle the nucleon transfer process without considering the momentum and kinetic energy of mass asymmetry [16-18]. Karpov and Saiko further developed the model by solving the full Langevin equations, which also incorporated mass and charge fluctuations [20-22]. Referring to these studies, the approach employed in this study employs two different equations for the separated and mononucleus stages. In addition, our model is simplified from the aforementioned studies as follows: In selecting the collective coordinates, identical deformations were assumed for both nuclei; the intrinsic rotation of the nuclei was neglected; the potential energy was described using the FRLDM, without considering shell correction energies and the initial sudden approximation; and the use of phenomenological friction in the entrance channel was eliminated to reduce the number of model parameters.

3

Results and discussion

3.1
Wilczyński plot for 40Ar + 232Th system

Trajectory calculations start at r = 5, which for the 40Ar + 232Th system is equivalent to a distance of 40 fm between the centers of mass of the projectile and target nuclei. In addition, the excitation energies of the initial conditions were set to zero. At the scission point, the nuclei were separated, resulting in the formation of primary fragments, which marked the termination of the calculation. Five hundred events were simulated for each impact parameter.

Wilczyński proposed constructing a contour map of the double differential cross-section on the energy and scattering angle plane [14], known as the Wilczyński plot for studying the dynamics of nucleus-nucleus collisions. This allows the analysis of the relationship between the dissipation of total kinetic energy (TKE) and rotational degrees of freedom from the various quantities involved in the MNT reaction. We calculated the Wilczyński plot for 40Ar + 232Th system shown in Fig. 2 at Elab = 388 MeV (Ec.m. = 331 MeV).

Fig. 2
(Color online) Calculated Wilczyński plot for the 40Ar + 232Th collision at Elab = 388 MeV
pic

Although the friction model has effectively conformed to the peaks observed in the Wilczyński plot [81], it fails to describe the statistical fluctuations. Peaks resembling those predicted by the friction model are obtained when the fluctuation component is turned off. By comparing this curve with the experimental data, we can adjust the model parameters γtan, τϵ. In the simulation, the energy dissipation and angular evolution of the DI and QF processes were consistent with the experimental results. In addition, we observed trajectories with negative deflection angles. For instance, Fig. 3 shows one such trajectory for angular momentum L=100 with a deflection angle of θc.m.=27.

Fig. 3
(Color online) Trajectory for the 40Ar + 232Th collision at Elab = 388 MeV: (a) Trajectory and its projections of the evolution of energy (V+Ekin), elongation, and mass of heavier nucleus; (b) Profile of the trajectory at the indicated time
pic

Because γtan0 is a model parameter that determines the rate of angular momentum dissipation, it can manifest in the relationship between the calculated TKE and scattering angle. Therefore, prior to simulation, γtan0 must be adjusted based on the the peak of experimental Wilczyński plot. The value of γtan0 is set to 0.05 in Fig. 2. However, experimental data for the Wilczyński plot is unavailable for all systems. For such systems, the adjustment of γtan0 can be guided by the Sommerfeld-like parameter η=Z1Z2μ2(Ec.m.VB) [82], where μ and VB are the reduced mass and Coulomb barrier, respectively. For systems with η’ less than 200, such as the 40Ar + 232Th reaction with η’ = 120, the peak of the Wilczyński plot shifted towards negative angles as the total kinetic energy loss (TKEL) increased. However, when η’ increased to 400, the peak tended to stabilize in the direction of the constant scattering angle. The peak progressively extended towards larger scattering angles with further increase in η’.

3.2
Calculations for 136Xe + 238U, 209Bi systems

For further comparison with the experimental data, we simulated the 136Xe + 238U reaction at Elab = 1110 MeV (Ec.m. = 706.4 MeV). The average TKE and total excitation energy Etotal* for the fragments, calculated as a function of the primary fragment mass, are presented in Fig. 4, along with a comparison with experimental results [9].

Fig. 4
(Color online) Average TKE and Etotal* calculated as a function of the primary fragment mass. The empty symbols correspond to the experimental results [9]
pic

The calculated energy dissipation for large mass transfers is consistent with the experimental results, indicating that the simulation of the average TKE for fragment masses below 230 is reasonable. However, Langevin calculations for target-like fragments (TLFs) significantly underestimate the dissipated energy in the reaction, particularly in cases involving fewer nucleon transfers because of the simplified descriptions near the contact point. The results (Fig. 4) include only trajectories where the two nuclei come into contact. Trajectories involving grazing processes, in which the two nuclei did not directly touch under large collision parameters, were excluded.

We simulated the 136Xe + 209Bi reaction for Elab = 1130 MeV (Ec.m. = 684 MeV). In Fig. 5, the center-of-mass angular distribution dσ/dΩ of the differential cross section is plotted versus θc.m. for events corresponding to TKE between 300 and 650 MeV. The angular distribution is consistent with the experimental values, except for the region near θgr+10°. The grazing angle θgr for this reaction is 54. This discrepancy can also be attributed to the description of the model before the contact point. In particular, for heavy systems, the continuous use of FRLDM as the potential energy is unsuitable for the approach stage. Therefore, the model requires further refinement to describe the separated stage. γtan0 was set to 0.11 for the 136Xe + 238U and 136Xe + 209Bi reactions.

Fig. 5
(Color online) Center-of-mass angular distribution of the damped cross section for events with TKE within the indicated range in the 136Xe + 209Bi reaction at Elab = 1130 MeV. The experimental data are from [83]. Histogram is the calculation
pic

The interaction time, τint, is a fundamental characteristic of nuclear reactions, which represents the time from when the two nuclei contact each other until they subsequently separate into fragments, as illustrated in Fig.6 for the studied reactions. In addition, the distributions of the total simulation time ttot, starting from t = 0 at r = 5, are presented. These include trajectories with grazing collisions under large impact parameters. Longer interaction times within these distributions correspond to the most dissipative collisions, such as the QF process.

Fig. 6
(Color online) Reaction time distributions for the(a) 40Ar + 232Th collision at Elab = 388 MeV, (b) 136Xe + 238U reaction at Elab = 1.11 GeV, and (c) 136Xe + 209Bi reaction at Elab = 1130 MeV
pic
4

Summary

In this study, a Langevin equation model was developed to simplify previous research by reducing the number of adjustable model parameters and streamlining the physical processes considered. This model was employed to investigate multinucleon transfer processes, enabling the analysis of double differential cross sections across energy and scattering angles. The classical 40Ar + 232Th reaction was simulated at Elab = 388 MeV, and the calculated Wilczyński plot was displayed. For comparisons with experimental results, the 136Xe + 238U reaction was simulated at Elab = 1110 MeV, alongside the 136Xe + 209Bi reaction at Elab = 1130 MeV, with subsequent calculations of TKE-mass distributions and angular distributions, respectively. Finally, the interaction time distributions of the reactions were calculated. These results indicate that the simplified Langevin equation model effectively describes the energy dissipation in MNT reactions.

References
1. G. G. Adamian, N. V. Antonenko, A. Diaz-Torres et al.,

How to extend the chart of nuclides

?. Eur. Phys. J. A 56 (2), 47 (2020). https://doi.org/10.1140/epja/s10050-020-00046-7
Baidu ScholarGoogle Scholar
2. F.-S. Zhang, C. Li, L. Zhu et al.,

Production cross sections for exotic nuclei with multinucleon transfer reactions

. Front. Phys. 13 (6), 132113 (2018). https://doi.org/10.1007/s11467-018-0843-6
Baidu ScholarGoogle Scholar
3. R. Ogul, N. Buyukcizmeci, A. Ergun et al.,

Production of neutron-rich exotic nuclei in projectile fragmentation at Fermi energies

. Nucl. Sci. Tech. 28, 18 (2016). https://doi.org/10.1007/s41365-016-0175-6
Baidu ScholarGoogle Scholar
4. F.-S. Zhang, Y.-H. Zhang, M.-H. Zhang et al.,

Synthesis of new superheavy nuclei

. J. Beijing Nor. Univ. (Nat. Sci.) 58, 392-399 (2022). https://doi.org/10.12202/j.0476-0301.2022082
Baidu ScholarGoogle Scholar
5. Y.-H. Zhang, G. Zhang, J.-J. Li et al.,

Progress in the production of new radioactive nuclides based on large-scale scientific facilities

. J. Isotopes 35(2), 104-113 (2022). https://doi.org/10.7538/tws.2022.35.02.0104
Baidu ScholarGoogle Scholar
6. V. Zagrebaev, W. Greiner,

Production of New Heavy Isotopes in Low-Energy Multinucleon Transfer Reactions

. Phys. Rev. Lett. 101, 122701 (2008). https://doi.org/10.1103/PhysRevLett.101.122701
Baidu ScholarGoogle Scholar
7. E. M. Kozulin, E. Vardaci, G. N. Knyazheva et al.,

Mass distributions of the system 136 Xe + 208 Pb at laboratory energies around the Coulomb barrier: A candidate reaction for the production of neutron-rich nuclei at N = 126

. Phys. Rev. C 86, 044611 (2012). https://doi.org/10.1103/PhysRevC.86.044611
Baidu ScholarGoogle Scholar
8. Y. X. Watanabe, Y. H. Kim, S. C. Jeong et al.,

Pathway for the production of neutron-rich isotopes around the N=126 shell closure

. Phys. Rev. Lett. 115, 172503 (2015). https://doi.org/10.1103/PhysRevLett.115.172503
Baidu ScholarGoogle Scholar
9. E. M. Kozulin, G. N. Knyazheva, A. V. Karpov et al.,

Detailed study of multinucleon transfer features in the 136Xe+238U reaction

. Phys. Rev. C 109, 034616 (2024). https://doi.org/10.1103/PhysRevC.109.034616
Baidu ScholarGoogle Scholar
10. S. Wuenschel, K. Hagel, M. Barbui et al.,

Experimental survey of the production of α-decaying heavy elements in 238U+232Th reactions at 7.5–6.1 MeV/nucleon

. Phys. Rev. C 97, 064602 (2018). https://doi.org/10.1103/PhysRevC.97.064602
Baidu ScholarGoogle Scholar
11. H. Devaraja, S. Heinz, O. Beliuskina et al.,

Observation of new neutron-deficient isotopes with Z≥92 in multinucleon transfer reactions

. Phys. Lett. B 748 199203 (2015). https://doi.org/10.1016/j.physletb.2015.07.006
Baidu ScholarGoogle Scholar
12. T. Niwase, Y. X. Watanabe, Y. Hirayama et al.,

Discovery of new isotope 241U and systematic high-precision atomic mass measurements of neutron-rich pa-pu nuclei produced via multinucleon transfer reactions

. Phys. Rev. Lett. 130, 132502 (2023). https://doi.org/10.1103/PhysRevLett.130.132502
Baidu ScholarGoogle Scholar
13. A. Artukh, G. Gridnev, V. Mikheev et al.,

Transfer reactions in the interaction of 40Ar with 232Th

. Nucl. Phys. A 215, 91108 (1973). https://doi.org/10.1016/0375-9474(73)90104-8
Baidu ScholarGoogle Scholar
14. J. Wilczyński,

Nuclear molecules and nuclear friction

. Phys. Lett. B 47, 484486 (1973). https://doi.org/10.1016/0370-2693(73)90021-X
Baidu ScholarGoogle Scholar
15. P. Fröbrich, I. I. Gontchar,

Langevin description of fusion, deep-inelastic collisions and heavy-ion-induced fission

. Phys. Rep. 292, 131237 (1998). https://doi.org/10.1016/S0370-1573(97)00042-2
Baidu ScholarGoogle Scholar
16. V. Zagrebaev, W. Greiner,

Unified consideration of deep inelastic, quasi-fission and fusion–fission phenomena

. J. Phys. G Nucl. Part. Phys. 31, 825844 (2005). https://doi.org/10.1088/0954-3899/31/7/024
Baidu ScholarGoogle Scholar
17. V. Zagrebaev, W. Greiner,

Low-energy collisions of heavy nuclei: dynamics of sticking, mass transfer and fusion

. J. Phys. G Nucl. Part. Phys. 34, 125 (2007). https://doi.org/10.1088/0954-3899/34/1/001
Baidu ScholarGoogle Scholar
18. V. I. Zagrebaev, W. Greiner,

Production of heavy and superheavy neutron-rich nuclei in transfer reactions

. Phys. Rev. C 83, 044618 (2011). https://doi.org/10.1103/PhysRevC.83.044618
Baidu ScholarGoogle Scholar
19. V. Zagrebaev, W. Greiner,

Cross sections for the production of superheavy nuclei

. Nucl. Phys. A 944, 257307 (2015). https://doi.org/10.1016/j.nuclphysa.2015.02.010
Baidu ScholarGoogle Scholar
20. A. V. Karpov, V. V. Saiko,

Modeling near-barrier collisions of heavy ions based on a Langevin-type approach

. Phys. Rev. C 96, 024618 (2017). https://doi.org/10.1103/PhysRevC.96.024618
Baidu ScholarGoogle Scholar
21. V. V. Saiko, A. V. Karpov,

Analysis of multinucleon transfer reactions with spherical and statically deformed nuclei using a Langevin-type approach

. Phys. Rev. C 99, 014613 (2019). https://doi.org/10.1103/PhysRevC.99.014613
Baidu ScholarGoogle Scholar
22. V. Saiko, A. Karpov,

Multinucleon transfer as a method for production of new heavy neutron-enriched isotopes of transuranium elements

. Eur. Phys. J. A 58, 41 (2022). https://doi.org/10.1140/epja/s10050-022-00688-9
Baidu ScholarGoogle Scholar
23. A. Winther,

Grazing reactions in collisions between heavy nuclei

. Nucl. Phys. A 572, 191235 (1994). https://doi.org/10.1016/0375-9474(94)90430-8
Baidu ScholarGoogle Scholar
24. A. Winther,

Dissipation, polarization and fluctuation in grazing heavy-ion collisions and the boundary to the chaotic regime

. Nucl. Phys. A 594, 203245 (1995). https://doi.org/10.1016/0375-9474(95)00374-A
Baidu ScholarGoogle Scholar
25. R. Yanez, W. Loveland,

Predicting the production of neutron-rich heavy nuclei in multinucleon transfer reactions using a semi-classical model including evaporation and fission competition, Grazing-F

. Phys. Rev. C 91(4), 04460 (2015). https://doi.org/10.1103/PhysRevC.91.044608
Baidu ScholarGoogle Scholar
26. V. V. Volkov,

Deep inelastic transfer reactions — The new type of reactions between complex nuclei

. Phys. Rep. 44, 93157 (1978). https://doi.org/10.1016/0370-1573(78)90200-4
Baidu ScholarGoogle Scholar
27. G. G. Adamian, N. V. Antonenko, W. Scheid et al.,

Treatment of competition between complete fusion and quasifission in collisions of heavy nuclei

. Nucl. Phys. A 627, 361378 (1997). https://doi.org/10.1016/S0375-9474(97)00605-2
Baidu ScholarGoogle Scholar
28. G. G. Adamian, N. V. Antonenko, D. Lacroix,

Production of neutron-rich Ca, Sn, and Xe isotopes in transfer-type reactions with radioactive beams

. Phys. Rev. C 82, 064611 (2010). https://doi.org/10.1103/PhysRevC.82.064611
Baidu ScholarGoogle Scholar
29. Z.-Q. Feng,

Production of neutron-rich isotopes around N=126 in multinucleon transfer reactions

. Phys. Rev. C 95 (2), 024615 (2017). https://doi.org/10.1103/PhysRevC.95.024615
Baidu ScholarGoogle Scholar
30. C. Li, P. Wen, J. Li et al.,

Production of heavy neutron-rich nuclei with radioactive beams in multinucleon transfer reactions

. Nucl. Sci. Tech. 28, 110 (2017). https://doi.org/10.1007/s41365-017-0266-z
Baidu ScholarGoogle Scholar
31. L. Zhu, J. Su, W.-J. Xie et al.,

Theoretical study on production of heavy neutron-rich isotopes around the N= 126 shell closure in radioactive beam induced transfer reactions

. Phys. Lett. B 767, 437442 (2017). https://doi.org/10.1016/j.physletb.2017.01.082
Baidu ScholarGoogle Scholar
32. M.-H. Mun, K. Kwak, G. G. Adamian et al.,

Possible production of neutron-rich no isotopes

. Phys. Rev. C 101, 044602 (2020). https://doi.org/10.1103/PhysRevC.101.044602
Baidu ScholarGoogle Scholar
33. G. Zhang, J.-J. Li, X.-R. Zhang et al.,

Role of the quasifission yields in the multinucleon transfer reactions of 136Xe+208Pb

. Phys. Rev. C 102, 024617 (2020). https://doi.org/10.1103/PhysRevC.102.024617
Baidu ScholarGoogle Scholar
34. F. Niu, P.-H. Chen, H.-G. Cheng, Z.-Q. Feng,

Multinucleon transfer dynamics in nearly symmetric nuclear reactions

. Nucl. Sci. Tech. 31, 59 (2020). https://doi.org/10.1007/s41365-020-00770-1
Baidu ScholarGoogle Scholar
35. J.-J. Li, N. Tang, Y.-H. Zhang et al.,

Theoretical study on the production of neutron-rich transuranium nuclei with radioactive beams in multinucleon transfer reactions

. Phys. Rev. C 106, 014606 (2022). https://doi.org/10.1103/PhysRevC.106.014606
Baidu ScholarGoogle Scholar
36. L. Zhu, J. Su, C. Li et al.,

How to approach the island of stability: Reactions using multinucleon transfer or radioactive neutron-rich beams

?. Phys. Lett. B 829, 137113 (2022). https://doi.org/10.1016/j.physletb.2022.137113
Baidu ScholarGoogle Scholar
37. X. J. Bao, S. Q. Guo, P. H. Chen,

Production of new neutron-rich isotopes with 92≤Z≤100 in multinucleon transfer reactions

. Phys. Rev. C 105, 024610 (2022). https://doi.org/10.1103/PhysRevC.105.024610
Baidu ScholarGoogle Scholar
38. N. Tang, X.-R. Zhang, J.-J. Li et al.,

Production of unknown neutron-rich isotopes with Z=99-102 in multinucleon transfer reactions near the Coulomb barrier

. Phys. Rev. C 106, 034601 (2022). https://doi.org/10.1103/PhysRevC.106.034601
Baidu ScholarGoogle Scholar
39. Y.-H. Zhang, J.-J. Li, N. Tang et al.,

Production cross sections of new neutron-rich isotopes with Z=92-106 in the multinucleon transfer reaction 197Au+232Th

. Phys. Rev. C 107, 024604 (2023). https://doi.org/10.1103/PhysRevC.107.024604
Baidu ScholarGoogle Scholar
40. Z. Liao, L. Zhu, J. Su et al.,

Dynamics of charge equilibration and effects on producing neutron-rich isotopes around N=126 in multinucleon transfer reactions

. Phys. Rev. C 107, 014614 (2023). https://doi.org/10.1103/PhysRevC.107.014614
Baidu ScholarGoogle Scholar
41. P.-H. Chen, C. Geng, Z.-X. Yang et al.,

Production of neutron-rich actinide isotopes in isobaric collisions via multinucleon transfer reactions

. Nucl. Sci. Tech. 34 (10), 160 (2023). https://doi.org/10.1007/s41365-023-01314-z
Baidu ScholarGoogle Scholar
42. S.-Y. Xu, Z.-Q. Feng,

Cluster emission in massive transfer reactions based on dinuclear system model

. Nucl. Tech. (in Chinese) 46, 030501 (2023). https://doi.org/10.11889/j.0253-3219.2023.hjs.46.030501
Baidu ScholarGoogle Scholar
43. M.-H. Zhang, Y.-H. Zhang, J.-J. Li et al.,

Progress in transport models of heavy-ion collisions for the synthesis of superheavy nuclei

. Nucl. Tech. (in Chinese) 46, 137(2023). https://doi.org/10.11889/j.0253-3219.2023.hjs.46.080014
Baidu ScholarGoogle Scholar
44. N. Wang, Z. Li, X. Wu,

Improved quantum molecular dynamics model and its applications to fusion reaction near barrier

. Phys. Rev. C 65, 064608 (2002). https://doi.org/10.1103/PhysRevC.65.064608
Baidu ScholarGoogle Scholar
45. X. Jiang, N. Wang,

Probing the production mechanism of neutron-rich nuclei in multinucleon transfer reactions

. Phys. Rev. C 101, 014604 (2020). https://doi.org/10.1103/PhysRevC.101.014604
Baidu ScholarGoogle Scholar
46. K. Zhao, Z. Liu, F.-S. Zhang et al.,

Production of neutron-rich N=126 nuclei in multinucleon transfer reactions: omparison between 136Xe+198Pt and 238U+198Pt reactions

. Phys. Lett. B 815, 136101 (2021). https://doi.org/10.1016/j.physletb.2021.136101
Baidu ScholarGoogle Scholar
47. C. Li, P. Wen, J. Li et al.,

Production mechanism of new neutron-rich heavy nuclei in the 136Xe+198Pt reaction

. Phys. Lett. B 776, 278283 (2018). https://doi.org/10.1016/j.physletb.2017.11.060
Baidu ScholarGoogle Scholar
48. C. Li, J. Tian, F.-S. Zhang,

Production mechanism of the neutron-rich nuclei in multinucleon transfer reactions: A reaction time scale analysis in energy dissipation process

. Phys. Lett. B 809, 135697 (2020). https://doi.org/10.1016/j.physletb.2020.135697
Baidu ScholarGoogle Scholar
49. Y.-H. Zhang, J.-J. Li, C. Li et al.,

Microscopic study of the production of neutron-rich isotopes near N=126 in the multinucleon transfer reactions 78,82,86Kr+208Pb

. Phys. Rev. C 109, 044617 (2024). https://doi.org/10.1103/PhysRevC.109.044617
Baidu ScholarGoogle Scholar
50. L. Li, F.-Y. Wang, Y.-X. Zhang,

Isospin effects on intermediate mass fragments at intermediate energy-heavy ion collisions

. Nucl. Sci. Tech. 33, 58 (2022). https://doi.org/10.1007/s41365-022-01050-w
Baidu ScholarGoogle Scholar
51. C. Golabek, C. Simenel,

Collision dynamics of two 238U atomic nuclei

. Phys. Rev. Lett. 103, 042701 (2009). https://doi.org/10.1103/PhysRevLett.103.042701
Baidu ScholarGoogle Scholar
52. C. Simenel,

Particle transfer reactions with the time-dependent hartree-fock theory using a particle number projection technique

. Phys. Rev. Lett. 105, 192701 (2010). https://doi.org/10.1103/PhysRevLett.105.192701
Baidu ScholarGoogle Scholar
53. C. Simenel,

Particle-number fluctuations and correlations in transfer reactions obtained using the balian-Vénéroni variational principle

. Phys. Rev. Lett. 106, 112502 (2011). https://doi.org/10.1103/PhysRevLett.106.112502
Baidu ScholarGoogle Scholar
54. K. Sekizawa,

TDHF theory and its extensions for the multinucleon transfer reaction: a mini review

. Front. Phys 7, 20 (2019). https://doi.org/10.3389/fphy.2019.00020
Baidu ScholarGoogle Scholar
55. Z. Wu, L. Guo,

Microscopic studies of production cross sections in multinucleon transfer reaction 58Ni+124Sn

. Phys. Rev. C 100, 014612 (2019). https://doi.org/10.1103/PhysRevC.100.014612
Baidu ScholarGoogle Scholar
56. J.-J. Li, N. Tang, Y.-H. Zhang et al.,

Progress on production cross-sections of unknown nuclei in fusion evaporation reactions and multinucleon transfer reactions

. Int. J. Mod. Phys. E 32, 2330002 (2023). https://doi.org/10.1142/S0218301323300023
Baidu ScholarGoogle Scholar
57. Y.-Q. Xin, N.-N. Ma, J.-G. Deng et al.,

Properties of Z=114 super-heavy nuclei

. Nucl. Sci. Tech. 32, 55 (2021). https://doi.org/10.1007/s41365-021-00899-7
Baidu ScholarGoogle Scholar
58. F. Niu, P.-H. Chen, Z.-Q. Feng,

Systematics on production of superheavy nuclei Z = 119-122 in fusion-evaporation reactions

. Nucl. Sci. Tech. 32, 103 (2021). https://doi.org/10.1007/s41365-021-00946-3
Baidu ScholarGoogle Scholar
59. M.-H. Zhang, Y.-H. Zhang, Y. Zou et al.,

Predictions of synthesizing elements with Z=119 and 120 in fusion reactions

. Phys. Rev. C 109, 014622 (2024). https://doi.org/10.1103/PhysRevC.109.014622
Baidu ScholarGoogle Scholar
60. B. Li, N. Tang, Y.-H. Zhang et al.,

Production of p-rich nuclei with Z=20-25 based on radioactive ion beams

. Nucl. Sci. Tech. 33, 55 (2022). https://doi.org/10.1007/s41365-022-01048-4
Baidu ScholarGoogle Scholar
61. L. Zhu, C. Li, C.-C. Guo et al.,

Theoretical progress on production of isotopes in the multinucleon transfer process

. Int. J. Mod. Phys. E 29,2030004(2020). https://doi.org/10.1142/S0218301320300040
Baidu ScholarGoogle Scholar
62. Y. Zou, Y.-H. Zhang, N. Tang et al.,

Key problems to Be solved possibly using machine learning in heavy ion collisions

. Atom. Energy Sci.Tech. 57, 762-773 (2023).
Baidu ScholarGoogle Scholar
63. Z. Wang, Z.-Z. Ren,

Predictions of the decay properties of the superheavy nuclei 293, 294119 and 294, 295120

. Nucl. Tech. (in Chinese) 46, 080011 (2023). https://doi.org/10.11889/j.0253-3219.2023.hjs.46.080011
Baidu ScholarGoogle Scholar
64. Y. Chen, Y.-L. Ye, K. Wei.

Progress and perspective of the research on exotic structures of unstable nuclei

. Nucl. Tech. (in Chinese) 46, 080020 (2023). https://doi.org/10.11889/j.0253-3219.2023.hjs.46.080020
Baidu ScholarGoogle Scholar
65. S. Amano, Y. Aritomo, M. Ohta,

Modes of massive nucleon transfer appearing in quasifission processes for collisions of superheavy nuclei

. Phys. Rev. C 106, 024610 (2022). https://doi.org/10.1103/PhysRevC.106.024610
Baidu ScholarGoogle Scholar
66. S. Amano, Y. Aritomo, M. Ohta,

Effects of neck and nuclear orientations on the mass drift in heavy ion collisions

. Phys. Rev. C 109, 034603 (2024). https://doi.org/10.1103/PhysRevC.109.034603
Baidu ScholarGoogle Scholar
67. F. C. Dai, P. W. Wen, C. J. Lin et al.,

Theoretical study of multinucleon transfer reactions by coupling the langevin dynamics iteratively with the master equation

. Phys. Rev. C 109, 024617 (2024). https://doi.org/10.1103/PhysRevC.109.024617
Baidu ScholarGoogle Scholar
68. L. Zhu,

New model based on coupling the Master and Langevin equations in the study of multinucleon transfer reactions

. Phys. Lett. B 849, 138423 (2024). https://doi.org/10.1016/j.physletb.2023.138423
Baidu ScholarGoogle Scholar
69. J. Maruhn, W. Greiner,

The asymmetrie two center shell model

. Z. Physik 251, 431457 (1972). https://doi.org/10.1007/BF01391737
Baidu ScholarGoogle Scholar
70. K. T. R. Davies, A. J. Sierk, J. R. Nix,

Effect of viscosity on the dynamics of fission

. Phys. Rev. C 13, 23852403 (1976). https://doi.org/10.1103/PhysRevC.13.2385
Baidu ScholarGoogle Scholar
71. P. Nadtochy, E. Ryabov, A. Karpov et al.,

Transport coefficients for modeling fission dynamics

. Comput. Phys. Commun. 275, 108308 (2022). https://doi.org/10.1016/j.cpc.2022.108308
Baidu ScholarGoogle Scholar
72. A. J. Sierk, J. R. Nix,

Fission in a wall-and-window one-body-dissipation model

. Phys. Rev. C 21, 982987 (1980). https://doi.org/10.1103/PhysRevC.21.982
Baidu ScholarGoogle Scholar
73. G. Adeev, A. Karpov, P. Nadtochii et al.,

Multidimensional stochastic approach to the fission dynamics of excited nuclei,

Phys. Part. Nucl. 36, 378426 (2005).
Baidu ScholarGoogle Scholar
74. J. Tian, W. Ye,

Investigating nuclear dissipation properties at large deformations via excitation energy at scission

. Nucl. Sci. Tech. 27, 145 (2016). https://doi.org/10.1007/s41365-016-0146-y
Baidu ScholarGoogle Scholar
75. H. J. Krappe, J. R. Nix, A. J. Sierk,

Unified nuclear potential for heavy-ion elastic scattering, fusion, fission, and ground-state masses and deformations

. Phys. Rev. C 20, 9921013 (1979). https://doi.org/10.1103/PhysRevC.20.992
Baidu ScholarGoogle Scholar
76. A. J. Sierk,

Macroscopic model of rotating nuclei

. Phys. Rev. C 33, 20392053 (1986). https://doi.org/10.1103/PhysRevC.33.2039
Baidu ScholarGoogle Scholar
77. V. Zagrebaev, A. Karpov, Y. Aritomo et al.,

Potential energy of a heavy nuclear system in fusion-fission processes

. Phys. Part. Nucl 38, 469491 (2007). https://doi.org/10.1134/S106377960704003X
Baidu ScholarGoogle Scholar
78. P. Nadtochy, E. Ryabov, A. Karpov et al.,

Potential energy models of excited compound nucleus

. Comput. Phys. Commun. 258, 107605 (2021). https://doi.org/10.1016/j.cpc.2020.107605
Baidu ScholarGoogle Scholar
79. S. Yamaji, H. Hofmann, R. Samhammer,

Self-consistent transport coefficients for average collective motion at moderately high temperatures

. Nucl. Phys. A 475, 487518 (1987). https://doi.org/10.1016/0375-9474(87)90075-3
Baidu ScholarGoogle Scholar
80. L. Moretto, J. Sventek,

A theoretical approach to the problem of partial equilibration in heavy ion reactions

. Phys. Lett. B 58, 2630 (1975). https://doi.org/10.1016/0370-2693(75)90718-2
Baidu ScholarGoogle Scholar
81. D. H. E. Gross, H. Kalinowski,

Friction model of heavy-ion collisions

. Phys. Rep. 45 (3), 175210 (1978). https://doi.org/10.1016/0370-1573(78)90031-5
Baidu ScholarGoogle Scholar
82. J. Galin,

Experimental situation in deep inelastic reactions with respect to the rapidly relaxed modes

. J. Phys. Colloques 37, 83107 (1976). https://doi.org/10.1051/jphyscol:1976506
Baidu ScholarGoogle Scholar
83. W. Schröder, J. Birkelund, J. Huizenga et al.,

Mechanisms of very heavy-ion collisions: The 209Bi+136Xe reaction at ELab = 1130 MeV

. Phys. Rep. 45, 301343 (1978). https://doi.org/10.1016/0370-1573(78)90110-2
Baidu ScholarGoogle Scholar
Footnote

Feng-Shou Zhang is an editorial board member for Nuclear Science and Techniques and was not involved in the editorial review, or the decision to publish this article. All authors declare that there are no competing interests.