Polarization switching in ferroelectric hysteresis of BaTiO3 proceeds by localized nucleation and subsequent growth of domains of reverse polarization. While this process is driven by the applied electric field, thermal activation can play an important role in domain nucleation. As a consequence of the stochastic nature of thermal activation, coercive fields in small systems exhibit a significant scatter. It is demonstrated that the statistics of coercive fields observed in molecular dynamics simulations is consistent with the statistical distribution expected for field-assisted thermally activated nucleation of reverse polarization domains. The excellent quantitative agreement between the simulation data and the theory of thermally activated processes provides strong evidence that polarization switching occurs by nucleation-and-growth rather than loss of the local minimum of the Gibbs free energy function. In a pristine crystal, switching is controlled by the field at which thermal fluctuations can create a critical nucleus in the bulk (homogeneous nucleation). The analysis of crystals with various vacancy-type defects demonstrates that such defects may enable heterogeneous nucleation at reduced fields. In both cases, the statistical analysis gives access to the respective activation energies, their field dependence, and the sizes of the critical nuclei.

The mechanisms, which control polarization switching in ferroelectric materials, are not only of fundamental scientific interest but also of considerable technological relevance. This switching process, which involves the reorientation of electric dipoles within the material, is pivotal in applications ranging from nonvolatile memory devices1 to piezoelectric actuators.2 As the performance of ferroelectric materials is intricately tied to the kinetics and mechanisms of polarization switching, understanding the underlying atomic-scale parameters is of paramount importance for ferroelectric materials design.

Ferroelectric materials respond to electromechanical loading through two primary mechanisms: the growth of existing domains with energetically favorable lattice orientations or the nucleation of new domains, resulting in the emergence of complex domain structures. The interplay of these mechanisms is intricately linked to the activation enthalpies associated with the processes of domain nucleation and growth, both of which depend sensitively on the magnitude of the applied electric field.3–5 

Understanding these activation parameters provides insights into the enthalpy barriers that must be overcome for polarization switching to occur. This allows to assess the contribution of thermal activation to the nucleation of domains, recognizing that the effective values of the macroscopic coercive fields may depend on the effects of atomic-scale thermal fluctuations, which can play a substantial role in initiating switching.6,7 Moreover, tuning the activation parameters for domain nucleation, e.g., by addition of defects, might offer a pathway to modify the macroscopic behavior of ferroelectric materials.

Molecular dynamics (MD) simulations provide a powerful tool to investigate the process of polarization reversal, revealing insights into the stochastic nature of polarization switching driven by thermal fluctuations.8,9 In this study, we focus on calculating the activation parameters that govern domain nucleation in BaTiO3 at room temperature based on the analysis of coercive fields, obtained using MD simulations. From the statistics of coercive fields in repeated field sweeps, we determine activation energies and volumes for domain nucleation in perfect, defect-free crystals as well as in crystals with monovacancies (VBa, VTi, VO), and first- and second-neighbor divacancies (VBa-VO, VTi-VO).9 To this end, we refer to MD data published previously by Tsuzuki et al.9 These MD simulations were carried out using a shell model interatomic potential developed in Ref. 10 that reproduces the multiple phase transitions of BaTiO3 in good agreement with experimental data. We note that another widely used interatomic potential, ReaxFF, which captures bond breaking and formation, has been adapted for the study of ferroelectric behavior in BaTiO3. While interesting for simulating the effects of vacancy re-orientation and migration,11 this potential is not suitable for the investigation of thermal fluctuation effects at ambient temperature because it seriously underestimates the ferroelectric phase transition temperature of 393 K, instead predicting that above 240 K the system is in its cubic, non-ferroelectric phase.

Our theoretical considerations follow ideas introduced by Schuh and Lund12 in a completely different context, namely, the nucleation of dislocations in nanoindentation. We consider a ferroelectric material where the polarization P is, in the course of a hysteresis loop, switching from P = P 0 e z to P = P 0 under the influence of a positive, slowly increasing electric field E = E e z, where d E / d t = E ̇. Polarization switching is assumed to proceed by thermally activated formation of a localized nucleus of volume V and its subsequent rapid expansion. The nucleation rate is assumed of the following form:
(1)
where we have linearized a generic dependency of the nucleus enthalpy on the field E. (Note that this is always possible provided the field interval, over which nucleation actually takes place, is sufficiently narrow.) We now consider the cumulative distribution function F(E) of the fields at which nucleation leading to polarization reversal takes place. We may understand F as the probability that, at field E, nucleation has already occurred. As such, it obeys the following differential equation:
(2)
which, owing to the constant field rate, can be integrated with respect to E to yield the distribution function. Using the boundary condition that, for E = –, the system is with probability 0 in the state P = P 0 and hence F ( ) = 0, we find
(3)
It follows that a plot of ln ln ( 1 / ( 1 F ) ) vs E must yield a straight line,
(4)
Thus, a linear fit to the appropriately plotted cumulative distribution function allows to determine the activation energy for forming a critical domain nucleus and its field susceptibility.
To proceed further, a physical model of the nucleus is required. Based on MD observations reported by Tsuzuki et al.,9 we consider the critical domain nucleus as a needle-shaped domain of polarization P 0 e z and characteristic volume V N inside an initially homogeneous domain of polarization P 0 e z. Owing to the needlelike shape, the depolarizing field of the nucleus can be neglected and the field susceptibility of the nucleus enthalpy can be estimated as
(5)

Molecular dynamics simulations of polarization change processes in BaTiO3 single crystals at temperature T = 300 K were performed using a constant field electric rate of E ̇ = ± 0.05 MV/ps. The field was aligned with one of the crystallographic axes of the BaTiO3 unit cell (henceforth z axis). The details of the simulation setup and simulation methodology can be found in Ref. 9.

Hysteresis curves resulting from the simulations are depicted in Fig. 1, top. Polarization change was observed to initiate in strongly localized regions of columnar shape aligned with the applied electric field, see Fig. 1, bottom where such nuclei appear at point defects. In different field sweeps, the polarization was observed to switch at randomly varying values of the coercive field. Since the polarization switch occurs over a very narrow range of E values, we identify for simplicity the coercive field with the field at which a critical nucleus forms. The corresponding cumulative distribution is shown in Fig. 2(a). Re-plotting according to Eq. (4) shows an almost perfectly linear behavior [Fig. 2(b)], where the linear fit curve represents the actual data with a Pearson correlation coefficient r = 0.98 and a coefficient of determination R 2 = 0.96. We conclude that the thermal activation theory provides a very good description of the statistics of coercive fields in the simulations.

FIG. 1.

(a) Simulated hysteresis curves for multiple field sweeps applied to a perfect periodically continued BaTiO3 crystallite and (b) domain nuclei emerging at point defects; left: Ba–O divacancy, and right: O vacancy, reproduced with permission from Tsuzuki et al., J. Appl. Phys. 131, 194101 (2022). Copyright 2022 AIP Publishing LLC.

FIG. 1.

(a) Simulated hysteresis curves for multiple field sweeps applied to a perfect periodically continued BaTiO3 crystallite and (b) domain nuclei emerging at point defects; left: Ba–O divacancy, and right: O vacancy, reproduced with permission from Tsuzuki et al., J. Appl. Phys. 131, 194101 (2022). Copyright 2022 AIP Publishing LLC.

Close modal
FIG. 2.

Cumulative distribution of coercive fields in a defect-free crystal, (a) original distribution and (b) distribution re-plotted according to Eq. (4) with linear fit.

FIG. 2.

Cumulative distribution of coercive fields in a defect-free crystal, (a) original distribution and (b) distribution re-plotted according to Eq. (4) with linear fit.

Close modal

From the parameters of the linear fit, we can now deduce important parameters of the activation process by means of Eqs. (2) and (5). With T = 300 K, an estimated value of the attempt frequency ν 0 = 10 13 s−1 and P 0 = 0.127 C/m2, we obtain with a = 15.8 and b = 0.38 × 10 6 m/V the activation parameters V N = 6.23 × 10 27 m3 and H N 0 = 9.14 × 10 20 J = 0.57 eV. Note that the obtained nucleus size is in good agreement with nucleus sizes observed in the simulations, see Fig. 1, bottom.

We now investigate how the picture changes in the presence of defects. Defects studied include monovacancies on the Ba, Ti, and two nonequivalent O sites as well as Ba–O and Ti–O divacancies on nearest and second nearest neighbor sites. Such defects lead to a local charge re-distribution within the defected crystal, and therefore may exhibit both a permanent charge and a permanent dipole moment. The investigated defects and the associated local charges and dipole moment vectors are compiled in Table I. For a visualization of the defect configurations, the reader is referred to Ref. 9.

TABLE I.

Charges and dipole moments for different types of defects as obtained directly from the analysis of charge distributions in MD simulations9 and from analysis of coercive field statistics (this work). Note that only the z component of the dipole moment is given, since the other components do not influence a polarization switch in the z direction. The computed energy shifts δ H C / E U / D are labeled by the location of the defect (subscript C/E referring to central and end location relative to the domain nucleus) and the direction of the sweep (superscript U/D referring to an upward sweep from negative to positive field values or a downward sweep).

q ( e ) pz ( 10 28 C m) δ H C U ( k B T ) δ H C D ( k B T ) δ H E U ( k B T ) δ H E D ( k B T ) δ H U ( k B T ) ( a 0 a U ) δ H D ( k B T ) ( a 0 a D )
1st VBa-VO  −0.424  2.75  −4.92  4.92  −1.41  1.65  −4.92  −4.80  −0.33 
1st VTi-VO  −1.324  1.83  −3.27  3.27  −1.39  0.25  −3.27  −3.69  −0.23 
2nd VBa-VO1  −0.424  0.21  −0.38  0.38  −0.27  −0.05  −0.38  −0.84  −0.05  −0.20 
2nd VBa-VO2  −0.424  1.37  −2.45  2.45  −0.80  0.41  −2.45  −0.75  −0.22 
2nd VTi-VO1  −1.324  1.35  −2.42  2.42  −1.16  0.04  −2.42  −1.76  +0.07 
2nd VTi-VO2  −1.324  1.21  −2.17  2.17  −1.11  −0.03  −2.17  −0.3  −0.03  −1.01 
VBa  −2.172  −0.56  1.00  −1.00  −0.68  −1.18  −0.68  −0.25  −1.18  −0.20 
VTi  −3.072  −0.03  0.05  −0.05  −1.25  − 1.32  −1.25  −0.34  −1.32  −0.29 
VO1  1.748  0.92  −1.65  1.65  −1.15  −0.34  −1.65  0.07  −0.34  −0.77 
VO2  1.748  0.48  −0.86  0.86  − 0.96  −0.53  −0.96  −0.19  −0.53  −0.25 
q ( e ) pz ( 10 28 C m) δ H C U ( k B T ) δ H C D ( k B T ) δ H E U ( k B T ) δ H E D ( k B T ) δ H U ( k B T ) ( a 0 a U ) δ H D ( k B T ) ( a 0 a D )
1st VBa-VO  −0.424  2.75  −4.92  4.92  −1.41  1.65  −4.92  −4.80  −0.33 
1st VTi-VO  −1.324  1.83  −3.27  3.27  −1.39  0.25  −3.27  −3.69  −0.23 
2nd VBa-VO1  −0.424  0.21  −0.38  0.38  −0.27  −0.05  −0.38  −0.84  −0.05  −0.20 
2nd VBa-VO2  −0.424  1.37  −2.45  2.45  −0.80  0.41  −2.45  −0.75  −0.22 
2nd VTi-VO1  −1.324  1.35  −2.42  2.42  −1.16  0.04  −2.42  −1.76  +0.07 
2nd VTi-VO2  −1.324  1.21  −2.17  2.17  −1.11  −0.03  −2.17  −0.3  −0.03  −1.01 
VBa  −2.172  −0.56  1.00  −1.00  −0.68  −1.18  −0.68  −0.25  −1.18  −0.20 
VTi  −3.072  −0.03  0.05  −0.05  −1.25  − 1.32  −1.25  −0.34  −1.32  −0.29 
VO1  1.748  0.92  −1.65  1.65  −1.15  −0.34  −1.65  0.07  −0.34  −0.77 
VO2  1.748  0.48  −0.86  0.86  − 0.96  −0.53  −0.96  −0.19  −0.53  −0.25 

Figure 3 shows two typical scenarios. For a system containing a Ti monovacancy, the coercive field data are slightly shifted to lower fields as compared to a defect free crystal (full line), indicating a lowering of the enthalpy barrier. This shift is approximately independent of the direction of the field sweep (upward or downward). For a first-neighbor Ti-O divacancy, on the other hand, we observe a strong asymmetry since there is a pronounced shift to lower coercive fields during an upward sweep, but only a very slight shift during a downward sweep.

FIG. 3.

Cumulative distribution of coercive fields according to Eq. (4) in a defected crystal, and data for upward and downward field sweeps are shown separately; (a) Ti monovacancy and (b) a first-neighbor Ti–O divacancy.

FIG. 3.

Cumulative distribution of coercive fields according to Eq. (4) in a defected crystal, and data for upward and downward field sweeps are shown separately; (a) Ti monovacancy and (b) a first-neighbor Ti–O divacancy.

Close modal

To analyze the reasons for this behavior, we formulated a defect model, which considers the defect as a spherical inclusion of radius r D carrying a homogeneously distributed charge q and dipole moment p. We consider three different locations of the defect relative to the nucleus. For details of the model and the related calculations, the reader is referred to the supplementary material.

  1. The nucleus is located away from the defect. In this case, the interaction between defect and nucleus is negligible and the energy of nucleation is unchanged, δ H = 0.

  2. The defect is located in the center of the nucleus [see Fig. 1(b), left]. The nucleation enthalpy is then shifted by
    (6)

    where k denotes the dielectric constant of the material, and s the sign of the polarization change (s = 1 for an upward change during an upward field sweep, and s = −1 for a downward field sweep).

  3. The defect is located at the endpoint of the nucleus [see Fig. 1(b), right]. The nucleation enthalpy is then shifted by
    (7)

Table I contains enthalpy shifts calculated for the different scenarios (center/end location and upward/downward sweep) from the charges and dipole moments of the different investigated defects. We make the assumption that the actual activation enthalpy is controlled by the defect location that produces the largest downward shift, δ H U = min ( δ H C U , δ H E U , 0 ) for an upward sweep and δ H D = min ( δ H C D , δ H E D , 0 ) for a downward sweep. Values of the enthalpy shifts were evaluated using the values r D = a / 2 = 2 × 10 10 m, where a is the lattice constant, and k = 1.15 × 10 9 C/Vm as taken from the work of Zgonik et al.13 

To understand why divacancies affect polarization reversal much more strongly than monovacancies, we first note that Ba and Ti vacancies are negatively charged, while O vacancies carry positive charge. Monovacancies, thus, have significant (positive or negative) net charge but only small electrical dipole moment. The opposite is true for Ba–O and Ti–O divacancies. If the dipole moment of such divacancies is parallel to the ferroelectric polarization change, their presence may significantly reduce the energy of a domain nucleus provided that the nucleus forms around the defect. Monovacancies embedded centrally into a nucleus, on the other hand, create no net energy change. A comparatively small energy reduction is only effected when they are placed near one of the nucleus endpoints such that their electrical field enhances the external field within the nucleus. The bottomline of our findings is, thus, that polarization reversal is mainly affected by the electrical dipole moments, rather than by the electrical charges of defects. Note that this observation may become even more significant when dealing with multiple defects: the effects of multiple divacancies embedded into the volume of a nucleus are additive, but the effects of end-located monovacancies, for which there is essentially only one favorable location, are not.

In this study, we have conducted a comprehensive statistical analysis of coercive fields derived from hysteresis curves obtained through MD simulations. Our investigation covered multiple field sweeps in both pristine and defected BaTiO3 crystals, featuring monovacancies, first-neighbor divacancies, and second-neighbor divacancies.

We find that the statistics of coercive fields is consistent with results expected for the electric field-assisted thermally activated overcoming of localized energy barriers. The corresponding barrier configurations can be envisaged as critical nuclei of domains of reverse polarization. Our statistical analysis reveals key activation parameters for the formation of such nuclei. Moreover, we observe that defects in the form of mono- and divacancies can significantly reduce the activation barrier and, hence, the critical fields required for polarization reversal. In particular, divacancies, which carry a significant electrical dipole moment, introduce an asymmetry into the hysteresis curves as a switch of polarization in the direction of the defect dipole moment is energetically favorable as compared to a reverse switch. Monovacancies, on the other hand, lead to only a small, symmetric shift of the coercive fields to slightly lower values.

Our approach represents a paradigm change as compared to previous studies of the influence of defects on ferroelectric hysteresis. Works, such as that of Arlt and co-workers on internal bias fields14 consider the coercive field as the critical field at which a minimum of the macroscopic enthalpy function disappears. Here, by contrast, we envisage the change of polarization as a nucleation-and-growth phenomenon controlled by the field at which thermal fluctuations can create a critical domain nucleus. This difference has important consequences: in the traditional perspective, defects change the coercive field by modifying the macroscopic enthalpy function; their effect is, thus, dependent on their concentration. By contrast, in the present viewpoint, even single defects can have a significant influence on the coercive field as they facilitate domain nucleation; at the same time, kinematic considerations, such as the question of domain wall mobility, become much more important for understanding the switching process.

From a methodological viewpoint, the present approach based on the analysis of cumulative distribution functions has significant advantages over the consideration of coercive fields in terms of mean value and standard deviation. Thus, in the previous work of Tsuzuki et al.,9 because of the large scatter, a statistically significant influence of defects on the mean coercive fields could only be established for first-neighbor Ba–O and Ti–O divacancies, where the effects are largest. In our study, on the other hand, defect-induced energy shifts as low as δ H 0.5 k B T, corresponding to energy differences of 0.015 eV or field shifts of about 1 MV/m, can be established in a statistically significant manner.

As it stands, our investigation focuses on the effects of single defects. At higher defect densities the cumulative action of many defects may become an essential feature that enables polarization reversal at strongly reduced fields. The present work, which has established quantitatively the nucleation energy shift caused by different types of single point defects, serves as an essential starting point for the study of many-defect phenomena. The importance of point defects in enabling domain nucleation is corroborated by experimental observations (for an overview, see Ref. 15), which indicate that, at fields above about 1 MV/m, domain nucleation is no longer confined to macroscopic defects or surfaces but may occur diffusely in the bulk of BaTiO3 samples. At the same time, point defects may exhibit a dual role in polarization switching because, while facilitating domain nucleation, they may act at the same time as pinning centers that inhibit the motion of domain walls at high defect concentrations. This idea is consistent with the behavior of BaTiO3 after vacancies are introduced by γ irradiation:16 with increasing irradiation dose, the coercive field first decreases (domain nucleation is facilitated) but then increases again (domain wall motion and thus nucleus expansion is impeded).

While these findings highlight the potential significance of defect density in influencing material behavior, it is essential to emphasize that a comprehensive understanding of the collective impact of defects demands a detailed investigation beyond the scope of our current study. Such an investigation, which must cover the dual aspects of domain nucleation and domain wall pinning by the collective action of point defects, remains an important task for further studies.

See the supplementary material for detailed information regarding the model in relation to defects.

D.D., M.Z., and F.W. are grateful for the financial support from the Deutsche Forschungsgemeinschaft (DFG) under Grant No. GRK2495/K.

The authors have no conflicts to disclose.

Dilshod Durdiev: Formal analysis (lead); Software (lead); Visualization (lead); Writing – original draft (equal). Michael Zaiser: Conceptualization (lead); Methodology (lead); Supervision (equal); Writing – original draft (equal). Frank Wendler: Funding acquisition (lead); Supervision (equal); Writing – review & editing (equal). Takahiro Tsuzuki: Resources (equal); Writing – review & editing (equal). Hikaru Azuma: Resources (equal); Writing – review & editing (equal). Shuji Ogata: Supervision (equal); Writing – review & editing (equal). Ryo Kobayashi: Writing – review & editing (equal). Masayuki Uranagase: Writing – review & editing (equal).

The data that support the findings of this study are available within the article and its supplementary material.

1.
J. F.
Scott
, “
Nanoferroelectrics: Statics and dynamics
,”
J. Phys.: Condens. Matter
18
,
R361
386
(
2006
).
2.
G. H.
Haertling
, “
Ferroelectric ceramics: History and technology
,”
J. Am. Ceram. Soc.
82
,
797
818
(
2004
).
3.
W. J.
Merz
, “
Domain formation and domain wall motions in ferroelectric BaTiO3 single crystals
,”
Phys. Rev.
95
,
690
(
1954
).
4.
P.
Satyanarayan
,
C.
Aditi
,
C.
Aditya
, and
V.
Rahul
, “
Temperature dependence scaling behavior of the dynamic hysteresis in 0.715Bi0.5Na0.5TiO3-0.065BaTiO3-0.22SrTiO3 ferroelectric ceramics
,”
Mater. Res. Express
2
,
035501
(
2015
).
5.
D.
Zhao
,
T.
Lenz
,
G. H.
Gelinck
,
P.
Groen
,
D.
Damjanovic
,
D. M. D.
Leeuw
, and
L.
Katsouras
, “
Depolarization of multidomain ferroelectric materials
,”
Nat. Commun.
10
,
2547
(
2019
).
6.
A. Y.
Belov
,
W. S.
Kreher
, and
M.
Nicolai
, “
The evaluation of activation parameters for ferroelectric switching in soft PZT ceramics
,”
Ferroelectrics
391
,
42
50
(
2010
).
7.
K. B.
Chong
,
F.
Guiu
, and
M. J.
Reece
, “
Thermal activation of ferroelectric switching
,”
J. Appl. Phys.
103
,
014101
(
2008
).
8.
R.
Khadka
and
P.
Keblinski
, “
Molecular dynamics study of domain switching dynamics in KNbO3 and BaTiO3
,”
J. Mater. Sci.
57
,
12929
12946
(
2022
).
9.
T.
Tsuzuki
,
S.
Ogata
,
R.
Kobayashi
,
M.
Uranagase
,
S.
Shimoi
,
D.
Durdiev
, and
F.
Wendler
, “
Vacancy-assisted ferroelectric domain growth in BaTiO3 under an applied electric field: A molecular dynamics study
,”
J. Appl. Phys.
131
,
194101
(
2022
).
10.
J.
Vielma
and
G.
Schneider
, “
Shell model of BaTiO3 derived from ab-initio total energy calculations
,”
J. Appl. Phys.
114
,
174108
(
2013
).
11.
D.
Akbarian
,
D.
Yilmaz
,
Y.
Cao
,
P.
Ganesh
,
I.
Dabo
,
J.
Munro
,
R.
Van Ginhoven
, and
A.
van Duin
, “
Understanding the influence of defects and surface chemistry on ferroelectric switching: A ReaxFF investigation of BaTiO3
,”
Phys. Chem. Chem. Phys.
21
,
18240
18249
(
2019
).
12.
C. A.
Schuh
and
A. C.
Lund
, “
Application of nucleation theory to the rate dependence of incipient plasticity during nanoindentation
,”
J. Mater. Res.
19
,
2152
2158
(
2004
).
13.
M.
Zgonik
,
P.
Bernasconi
,
M.
Duelli
,
R.
Schlesser
,
P.
Günter
,
M.
Garrett
,
D.
Rytz
,
Y.
Zhu
, and
X.
Wu
, “
Dielectric, elastic, piezoelectric, electro-optic, and elasto-optic tensors of BaTiO3 crystals
,”
Phys. Rev. B
50
,
5941
(
1994
).
14.
G.
Arlt
and
H.
Neumann
, “
Internal bias in ferroelectric ceramics: Origin and time dependence
,”
Ferroelectrics
87
,
109
120
(
1988
).
15.
H. L.
Stadler
, “
Ferroelectric polarization reversal in single crystals
,”
Ferroelectrics
137
,
373
387
(
1992
).
16.
J. J.
Keating
and
G.
Murphy
, “
Gamma-irradiation effects in single-crystalline barium titanate
,”
Phys. Rev.
184
,
476
(
1969
).

Supplementary Material