1. Introduction
The motion of a sessile droplet on a solid substrate is a ubiquitous phenomenon and an intriguing challenge of scientific researches (de Gennes Reference de Gennes1985; Bonn et al. Reference Bonn, Eggers, Indekeu, Meunier and Rolley2009; Snoeijer & Andreotti Reference Snoeijer and Andreotti2013). It is also of great importance in industrial processes such as inkjet printing (Lohse Reference Lohse2022) and lab-on-a-chip technologies (Stone, Stroock & Ajdari Reference Stone, Stroock and Ajdari2004). Sessile droplet motion can be driven by external effects such as light (Ichimura, Oh & Nakagawa Reference Ichimura, Oh and Nakagawa2000), electric fields (Hartmann, Schür & Hardt Reference Hartmann, Schür and Hardt2022) and ultrasound (Liu et al. Reference Liu2025), or designed substrate gradients, including wettability, curvature (Lv et al. Reference Lv, Chen, Chuang, Tseng, Yin, Grey and Zheng2014) and temperature (Sui Reference Sui2014). For reviews, refer to Malinowski, Parkin & Volpe (Reference Malinowski, Parkin and Volpe2020), Tenjimbayashi & Manabe (Reference Tenjimbayashi and Manabe2022) and Moragues et al. (Reference Moragues, Arguijo, Beneyton, Modavi, Simutis, Abate, Baret, deMello, Densmore and Griffiths2023).
Most real-world solid surfaces are chemically heterogeneous, and the wettability distribution on such surfaces provides guidance for the sessile droplets. A notable example is the bio-inspired wettability gradient surfaces in water collection. Parker & Lawrence (Reference Parker and Lawrence2001) investigated the ability of desert beetles to collect water from fog-laden winds using the covering of their backs, and reported the pivotal role of alternating hydrophilic and hydrophobic regions. Inspired by such natural phenomena, Bai et al. (Reference Bai, Wang, Ju, Sun, Zheng and Jiang2014) developed a water collecting surface with star-shaped wettability patterns, delivering significantly higher water-collection efficiency.
In fundamental research, understanding how chemical heterogeneity influences fluid behaviour remains a central question. The term ‘chemically heterogeneous substrates’ refers to surfaces that are macroscopically flat, yet exhibit spatially varying wettability due to microscopic material properties. Typical categories are wettability gradient surfaces, where the wettability varies gradually (Greenspan Reference Greenspan1978; Dos Santos & Ondarçuhu Reference Dos Santos and Ondarçuhu1995; Thiele, John & Bär Reference Thiele, John and Bär2004; Ahmadlouydarab & Feng Reference Ahmadlouydarab and Feng2014), and wettability patterned surfaces, characterised by sharp borders between hydrophilic and hydrophobic regions, forming patterns such as arrays (Cubaud & Fermigier Reference Cubaud and Fermigier2004) and stripes (Dulcey et al. Reference Dulcey, Georger, Krauthamer, Stenger, Fare and Calvert1991). Stripe patterned surfaces consist of alternating hydrophilic and hydrophobic long stripes. The effect of stripe width relative to droplet size has been widely studied to examine anisotropic wetting (Jansen et al. Reference Jansen, Bliznyuk, Kooij, Poelsema and Zandvliet2012, Reference Jansen, Sotthewes, Ganser, Zandvliet, Teichert and Kooij2014), and to model rough surfaces (Iwamatsu Reference Iwamatsu2006; Damle & Rykaczewski Reference Damle and Rykaczewski2017) or contact angle hysteresis (Wang, Qian & Sheng Reference Wang, Qian and Sheng2008; Xu & Wang Reference Xu and Wang2011, Reference Xu and Wang2020). In studies on droplet motion on stripe patterned surfaces, it has been shown that droplets can be directed along designed stripes (Zhao, Moore & Beebe Reference Zhao, Moore and Beebe2001; Chowdhury, Mahapatra & Sen Reference Chowdhury, Mahapatra and Sen2019). Driven by external forces such as gravity, droplets can cross wettability borders, where several types of depinning have been reported (Thiele & Knobloch Reference Thiele and Knobloch2006; He et al. Reference He, Qin, Zhou and Wen2020). Droplets sliding through wettability borders is a prototype problem for studying the stick–slip phenomenon, where the advancing contact line sticks when crossing the border from a hydrophilic stripe to a hydrophobic one, and slips otherwise (Wang et al. Reference Wang, Qian and Sheng2008; Liu & Chen Reference Liu and Chen2017), reducing the average droplet speed by an order of magnitude (Varagnolo et al. Reference Varagnolo, Ferraro, Fantinel, Pierno, Mistura, Amati, Biferale and Sbragaglia2013; Sbragaglia et al. Reference Sbragaglia, Biferale, Amati, Varagnolo, Ferraro, Mistura and Pierno2014). Recent research on dewetting has reported similar slip motion when the contact line recedes from a hydrophilic region to a hydrophobic one (Wang et al. Reference Wang, Jin, Jia, Bonaccurso, Yu, Deng, Li and Chen2025b ). From examining droplet motion on a single wettability border, results revealed the intrinsic distinction between dewetting and wetting.
The ‘chemical step’ refers to an elementary pattern of heterogeneous substrates (particularly stripe patterned surfaces) characterised by two regions of different wettability separated by a sharp border. Despite its ubiquity, the behaviour of droplets on a chemical step remains poorly understood. Existing studies have mainly examined droplets on inclined substrates with a chemical step, with the hydrophobic region at the bottom. Semprebon et al. (Reference Semprebon, Varagnolo, Filippi, Perlini, Pierno, Brinkmann and Mistura2016) conducted experiments on droplet sliding on a chemical step, and observed several droplet trajectories under different conditions, including substrate inclination and border angle. Their results were coupled with contact angle hysteresis, since this is difficult to eliminate in experiments. De Coninck et al. (Reference De Coninck, Toledano, Dunlop and Huillet2017) developed an equilibrium theory to describe droplet morphology pinned at a wettability border. Dević et al. (Reference Dević, Escobar and Lohse2019) derived criteria for pinning and depinning of small droplets, neglecting the normal gravity component. For larger droplets, their model showed that the normal force drives the droplet back towards the hydrophilic region. The dynamical process of a droplet sliding across a chemical step was not investigated until Li et al. (Reference Li, Liu, He and Wen2023) employed lattice Boltzmann simulations and investigated the transmission between kinetic and surface energy. Overall, previous studies have focused on the competing effects of the chemical step and gravity, yet droplet motion on a horizontal substrate with a chemical step has not been rigorously investigated.
A universal challenge in the study of droplet motion on substrates is the well-known Huh–Scriven paradox (Huh & Scriven Reference Huh and Scriven1971), which can be addressed by moving contact line models (Snoeijer & Andreotti Reference Snoeijer and Andreotti2013). These models are typically characterised by a microscopic length scale, such as the slip length, rendering the wetting process inherently multiscale. The matched asymptotic analysis has proven particularly suitable for such problems, leading to several important results, including Tanner's law (Tanner Reference Tanner1979) and the Cox–Voinov relation (Voinov Reference Voinov1976; Cox Reference Cox1986). Furthermore, by introducing the Navier slip model, a matching procedure was developed by Hocking & Rivers (Reference Hocking and Rivers1982) and Lacey (Reference Lacey1982) in the study of droplet spreading. As for heterogeneous substrates, Pismen & Thiele (Reference Pismen and Thiele2006) examined the moving two-dimensional (2-D) droplet driven by a wettability gradient. Vellingiri, Savva & Kalliadasis (Reference Vellingiri, Savva and Kalliadasis2011) employed a 2-D matching procedure for general wettability distributions characterised by smoothly varying, non-zero contact angles. Their model is extended to three-dimensional (3-D) scenarios (Savva, Groves & Kalliadasis Reference Savva, Groves and Kalliadasis2019) or with mass transfer (Groves & Savva Reference Groves and Savva2021; Savva & Groves Reference Savva and Groves2021). The matched asymptotic analysis is expected to be helpful in understanding the motion of droplets on a chemical step, while relevant investigation is still lacking. From the numerical perspective, the multiscale nature results in a huge computational cost (Sui & Spelt Reference Sui and Spelt2013; Sui, Ding & Spelt Reference Sui, Ding and Spelt2014). A feasible method to reduce the cost is to impose a contact line model to resolve the microscale behaviours, and employ numerical simulations only in the macroscale evolutions (Qin, Lu & Gao Reference Qin, Lu and Gao2024), which is adopted in the simulations of the present work.
In the present study, we consider the fundamental process of droplet motion driven by a chemical step, where a droplet on the less hydrophilic region initially contacts the wettability border and subsequently moves to the more hydrophilic region. The paper is organised as follows. Section 2 describes the 2-D and 3-D problem in the framework of lubrication theory. For the 2-D problem discussed in § 3, two stages are distinguished and solved separately with a matching procedure, which is validated against numerical solutions. Section 4 performs numerical simulations for the 3-D case, and discusses the 3-D effects. Section 5 presents the effects of the initial condition, where the droplet could be spreading before contacting with the wettability border. Some conclusions are drawn in § 6.
2. Governing equations
Initial conditions in the simulation of a 3-D droplet driven by a chemical step. The chemical step is jointed by two homogeneous substrates. The left–right equilibrium contact angles
$\theta _1$
and
$\theta _2$
satisfy
$\theta _1\gt \theta _2$
. The apparent contact angle of the droplet upon contact with the border is
$\theta _0$
.

Consider the dynamics of a droplet on a flat and horizontal substrate featuring a chemical step, where the wettability distribution is prescribed by a step function of the microscopic contact angle. The wettability border is located at
$x=0$
, and the contact angles at
$x\lt 0$
and
$x\gt 0$
are denoted by
$\theta _1$
and
$\theta _2$
, respectively. Without loss of generality, we assume
$\theta _2\lt \theta _1$
, i.e. the region
$x\gt 0$
is more hydrophilic. Before contacting the wettability border, the droplet could be spreading. At the instant of contact, the apparent contact angle is
$\theta _0$
. We investigate the subsequent droplet motion towards the more hydrophilic region driven by wettability contrast. Both 2-D and 3-D situations are considered, with the initial condition of the latter plotted in figure 1. The droplet is assumed to be of sufficiently small size and high viscosity such that the process is dominated by the balance between viscous and capillary forces, while inertial and gravitational effects can be neglected. Furthermore, the contact angles
$\theta _0$
,
$\theta _1$
and
$\theta _2$
are assumed to be sufficiently small, enabling the employment of a lubrication equation of the droplet height
$h(x, y, t)$
. We adopt the Navier slip condition with slip length
$\lambda$
to alleviate the contact line singularity.
The problem is non-dimensionalised through the scalings
where
$R$
denotes the radius or half-width of the wetted area of the droplet when it attains an equilibrium state on the less hydrophilic region. The non-dimensional forms of the governing equation and boundary conditions (BCs) with the bars omitted are
Here,
$\boldsymbol{n}$
is the outward unit normal, and
$C$
represents the domain boundary, which evolves with the contact line velocity
The wettability distribution has the form
\begin{equation} \varTheta =\begin{cases} 1,&x\lt 0,\\ K,&x\gt 0, \end{cases} \end{equation}
where
$K={\theta _2}/{\theta _1}\lt 1$
is the ratio of contact angles. At the wettability border
$x=0$
, the local contact angle may lie between
$\theta _1$
and
$\theta _2$
due to the contact line pinning, as will be discussed later. At the instant of contact with the border, the droplet macroscopically maintains a parabolic profile given by
\begin{equation} h=\left \{ \begin{array}{ll}\!\! \dfrac {K_0}{2R_0}\left [R_0-(x+R_0)^2\right ]\!, & \mbox{for two dimensions}, \\[12pt] \!\! \dfrac {K_0}{2R_0}\left [R_0-(x+R_0)^2-y^2\right ]\!, & \mbox{for three dimensions}, \end{array}\right . \end{equation}
where
$K_0=\theta _0/\theta _1$
is the rescaled apparent contact angle, and
$R_0$
is the instantaneous wetting radius or half-width that can be obtained from the volume constraint as
$R_0=K_0^{1/2}$
and
$K_0^{1/3}$
for 2-D and 3-D droplets, respectively. To guarantee a spreading droplet before contact with the border, we should have
$K_0\ge 1$
; the situation with
$K_0\lt 1$
is beyond the scope of the present work since the corresponding droplet is expect to retract and does not interact with the border. We first investigate the case
$K_0=1$
; the influence of different values of
$K_0$
will be discussed in § 5, where it can be shown that only the early stage of evolution is affected.
For millimetre-sized droplets of present interest,
$\lambda \ll 1$
, thus numerically solving the full problem given by (2.2)–(2.6) is challenging, owing to the presence of a numerical boundary layer near the contact line, which itself is moving. Moreover, the Navier slip condition does not fully resolve the contact line singularity, as the second- and higher-order derivatives of
$h$
remain divergent at the contact line (Buckingham, Shearer & Bertozzi Reference Buckingham, Shearer and Bertozzi2003), which prevents direct numerical discretisation of the original equation. In the present work, the full problem was solved numerically using a macroscopic algorithm recently developed by Qin et al. (Reference Qin, Lu and Gao2024). The core idea is to cut off the computational domain in the intermediate region near the contact line, where effective BCs are derived from the local asymptotic solution of the film thickness. The cut-off reduces the computational cost, enabling simulations with a realistic slip length (
$\lambda =3\times 10^{-5}$
throughout the paper). This method requires a single-value dependence between the contact angle and the contact line velocity, which may be violated when contact line pinning occurs. To circumvent this constraint, the step function of the contact angle is smoothed as
where
$b\to 0$
is the characteristic width of the smoothed wettability border, fixed at
$b=2.5\times 10^{-3}$
throughout the paper. We have validated that halving the value of
$b$
hardly affects the presented numerical results.
3. The 2-D droplets
Evolution of a 2-D droplet on a chemical step with
$K=0.5$
. (a) Snapshots of droplet profiles. The evolution of (b) droplet length
$L$
and (c) apparent contact angle
$\theta _{\textit{ap}}$
as functions of time. At
$t\approx 155$
, marked by the vertical dashed line, the receding contact line reaches the wettability border at
$x=0$
, signifying the end of the migration stage and the onset of the asymmetric spreading stage. After an early droplet elongation,
$L$
and
$\theta _{\textit{ap}}$
remain constant during the migration stage. Then, during the asymmetric spreading stage,
$L$
and
$\theta _{\textit{ap}}$
approach the equilibrium values
$L_{eq}=2/\sqrt {K}$
and
$\theta _{eq}=K$
on the more hydrophilic region.

We begin with an analysis of the 2-D case, which is more tractable but still provides a qualitative representation of the 3-D situation. The governing equations and BCs of a 2-D droplet (or droplet stripe) on a chemical step reduce to
where
$x_1$
and
$x_2$
denote the positions of the front and rear contact lines, respectively.
It can be expected that the droplet moves from the initial profile given by (2.6) to an equilibrium state on the more hydrophilic region. The evolution of the droplet profile is illustrated in figure 2(a) for
$K=0.5$
. After an initial transient period of stretching, the droplet migrates towards the more hydrophilic side. At
$t\approx 155$
, the receding contact line reaches the wettability border and remains pinned thereafter, while the other contact line continues to advance, thereby elongating the droplet. As depicted in figure 2(b), the droplet length, defined as
$L\equiv x_2-x_1$
, after a brief rise, remains constant for a period, corresponding to a steady displacement of the droplet. Then
$L$
increases again until it eventually approaches the equilibrium length at the more hydrophilic substrate,
$L_{eq}=2/\sqrt {K}$
. Correspondingly, the evolution of the droplet apparent contact angle
$\theta =4/L^2$
, defined by fitting the droplet profile as a parabola, is shown in figure 2(c). We can thus identify two distinct stages: (i) the migration stage, when the droplet traverses across the wettability border from the less to the more hydrophilic side; (ii) the asymmetric spreading stage, when the droplet spreads on the more hydrophilic side with one contact line pinned at the wettability border. Because of the smoothing (2.7), the pinned contact line is modelled by a moving one with sufficiently low speed, which is apparently pinned on the macroscopic scale. As introduced in the following subsections, it turns out that analytical solutions can be obtained by considering these two stages separately, and the smoothing can be discarded with additional treatment to investigate a strictly pinned contact line.
3.1. Migration
The migration of the droplet is driven by the wettability contrast and can be described by the asymptotic theory of Vellingiri et al. (Reference Vellingiri, Savva and Kalliadasis2011), who considered a continuous wettability distribution. We focus here on the steady motion of the droplet during the migration stage, in which both the width
$L$
and the droplet velocity
$\delta$
are constant, allowing for more explicit solutions. We also consider the special case of
$K=0$
, which has not been investigated in Vellingiri et al. (Reference Vellingiri, Savva and Kalliadasis2011). It is convenient to introduce a reference frame attached to the droplet. Thus the governing equation (3.1a
), after one integration, yields
where the primes denote derivatives with respect to
$x$
. The BCs are
The third-order boundary value problem with two undetermined parameter
$L$
and
$\delta$
can be closed with the volume conservation condition
where the value is specified by the initial profile (2.6).
It is well established that such a system, involving moving contact lines, is subject to multiscale solutions with boundary layers near the contact line. When
$\lambda \ll 1$
, the droplet has an outer region with negligible slip effect and two inner regions of thickness
$\mathcal{O}(\lambda )$
near the contact lines, where the slip effect is significant. Following Hocking (Reference Hocking1983), we present asymptotic solutions of these distinct regions in the limit of slow migration (
$\delta \to 0$
). The matching of these solutions determines the droplet profile and velocity.
Omitting the slip term
$\lambda h$
in (3.2), the outer solution describing the macroscopic droplet profile satisfies
where the contact angle conditions are unnecessary. The outer equation (3.5a
) admits an analytical solution expressed by Airy functions (Duffy & Wilson Reference Duffy and Wilson1997), which was adopted by Eggers (Reference Eggers2004, Reference Eggers2005) and Snoeijer & Eggers (Reference Snoeijer and Eggers2010) in studying forced dewetting and, more relevantly to the present problem, by Pismen & Thiele (Reference Pismen and Thiele2006) for a moving droplet driven by a wettability gradient. In the present work, we alternatively employ the classical asymptotic procedure developed by Hocking (Reference Hocking1983) for advancing contact lines. In this procedure, the outer and inner solutions are matched through a Voinov region where the cube of the film slope varies logarithmically (Voinov Reference Voinov1976). For receding contact lines, as demonstrated by Duffy & Wilson (Reference Duffy and Wilson1997), the Voinov region still exists and was used by Eggers (Reference Eggers2005) to construct an inner solution that can be directly matched to the outer solution. For the present problem, we intended to match the inner and outer solutions in the Voinov region for both advancing and receding contact lines, which is feasible for slow migration; the corresponding matching results agree perfectly with the numerical results, as shown later. This method relies on an expansion of the film thickness in terms of small contact line speed, i.e.
$h=h_0+\delta h_1+\mathcal{O}(\delta ^2)$
. Substituting into (3.5) and solving sequentially for the leading-order solution
$h_0$
and the first-order solution
$h_1$
provides the perturbation solution for the outer region.
The leading-order approximation is simply a hydrostatic profile with
corresponding to an apparent contact angle
$\theta _{\textit{ap}}=4/L^2$
. The first-order equation and supplementary conditions are
and the solution can be obtained as
The matching with the inner region can be directly accomplished from the cube of the slope without invoking an intermediate region (Eggers Reference Eggers2005; Sibley, Nold & Kalliadasis Reference Sibley, Nold and Kalliadasis2015). Thus the outer matching conditions are
In the inner region, the slip is significant and the full equation near the two contact lines should be solved separately. Near the advancing contact line, introduce the inner variables
$H(\xi )=h/\lambda$
and
$\xi =(L-x)/\lambda$
and the problem is transformed into
The asymptotic solution of (3.11) for small
$\delta$
, or more strictly speaking
$\delta /K^3\ll 1$
, is well documented in the literature (Hocking Reference Hocking1983; Eggers Reference Eggers2005; Sibley et al. Reference Sibley, Nold and Kalliadasis2015). For the present purposes, the far-field asymptotics of the inner solution expressed in the outer variables are
Similarly, the inner condition at the receding contact line is
Matching (3.9) with (3.13), and (3.10) with (3.12), yields
The velocity only depends explicitly on the droplet length. One can substitute (3.14) into (3.15) to obtain
which indicates that
$\delta$
is proportional to
$1-K^3$
up to a logarithmic correction. Moreover, in the limit of
$K\to 1$
, we have
$L-2=(1-K)/2+\mathcal{O} [(1-K)^2 ]$
according to (3.14).
It is worth noting that (3.12) conforms with the expansion only when
$K^3\gg \delta$
. For conditions where
$K$
is too small, the theory no longer holds. For instance, the expression (3.14) predicts an infinite droplet length as
$K\to 0$
, which is obviously unphysical. For small values of
$K$
, the theory can be modified by replacing the inner condition at the advancing contact line (3.12) with
where
$q=0.74+K^2\delta ^{-2/3}$
is an approximate relation proposed by Hocking (Reference Hocking1992). Matching at the advancing contact line gives
which, combined with the other condition (3.15), determines
$L$
and
$\delta$
for given values of
$K$
. Note that
$K$
exists explicitly in the expression for
$q$
only.
Comparison of the theoretical and numerical results during the steady migration stage. Variation of (a) the droplet length
$L$
and (b) the migration velocity
$\delta$
as a function of
$K$
. The finite-
$K$
theory corresponds to (3.14) and (3.15); the small-
$K$
theory corresponds to (3.15) and (3.18). (c) Migration velocity
$\delta$
as a function of
$L$
with the theoretical curve given by (3.15).

Figure 3 compares the finite-
$K$
and small-
$K$
theories with numerical results of (3.2) and (3.3), which are obtained using the numerical approach described in Appendix A. As expected, the droplet becomes longer and moves faster at smaller
$K$
since the driving force becomes stronger. The finite-
$K$
theory shows excellent agreement with the numerical results for
$K\gtrsim 0.2$
. For
$K\lt 0.2$
, both
$K$
and
$\delta$
remain finite and are reasonably predicted by the small-
$K$
theory, while the finite-
$K$
theory fails. The dependence between
$\delta$
and
$L$
is shown in figure 3(c), in which the solid curve represents (3.15), valid for both finite and small values of
$K$
as confirmed by the numerical solutions.
3.2. Asymmetric spreading
The migration stage ends when the receding contact line reaches the wettability border and hence all the liquid is accumulated on the more hydrophilic region of the substrate. At this instant, the apparent contact angle
$\theta _0=4/L^2$
lies within the interval
$(K,1)$
. Therefore, the droplet has yet to reach its equilibrium state on the more hydrophilic region. A further spreading process ensues until the apparent contact angle decreases to
$K$
. During this stage, the advancing contact line keeps moving, and the other contact line is pinned at the border, leading to an asymmetric spreading.
The dynamics of the asymmetric spreading stage is governed by (3.1a
), while the BCs require appropriate treatment due to the presence of the pinned contact line. Different from the moving contact line, the contact angle is not known a priori at the pinned contact line and hence cannot be implemented as a BC. Instead, a zero-flux condition
$h^2\,\partial _x^3h=0$
is adopted, and the BCs are
The contact line is therefore strictly pinned at
$x=0$
, and the smoothed border (2.7) can be discarded. The volume conservation condition (3.4) can be used to fully determine the solution.
An asymptotic analysis can be performed as well when
$\lambda \ll 1$
. It turns out that a boundary layer still occurs at the pinned contact line. The whole drop can thus be divided into an outer region and two inner regions near the contact lines. In the outer region, the slip term and the contact angle condition are neglected. For small spreading rate
$\dot {L}$
, we seek an outer solution of the form
Accordingly, we have
$\partial _t h=\dot L\,\partial _L h_0+\mathcal{O}(\dot {L}^2)$
. The leading-order governing equation and BCs are obtained as
Integrating (3.21a
) once and using (3.21b
) yields
$\partial _{x}^{3}h_0=0$
. Thus the leading-order solution again represents a hydrostatic profile:
The first-order solution
$h_1$
satisfies
The solution can be found as
The first-order derivative of
$h_1$
diverges at
$x=L$
, indicating the well-known singularity of moving contact lines. At the pinned contact line,
$h_1$
has a finite slope, which can serve as a correction to the definition of the apparent contact angle:
Interestingly, the second-order derivative still exhibits a logarithmic singularity, indicating the presence of a boundary layer at the pinned contact line.
The inner solution at the advancing contact line is given by (3.12) for finite
$K$
, and by (3.17) for small
$K$
, with contact line speed
$\delta$
replaced by
$\dot {L}$
. Matching these solutions with the cube of the derivative of the outer solution (3.20), we arrive at a reduced equation for the droplet width
$L$
that, for finite
$K$
, reads
As the equilibrium state is approached, it has
$\dot {L}\to 0$
and
$L\to L_{eq}=2/\sqrt {K}$
. Equation (3.26) can be easily solved and validated against the numerical solution (which is introduced in Appendix B), as shown in figure 4, where the initial value of
$L$
is given by the steady migration stage. The results show that a smaller value of
$K$
leads to a faster contact line velocity, but prolongs the time to reach equilibrium. For small
$K\to 0$
, the evolution of the droplet length is given by
where
$q=0.74+K^2\dot L^{-2/3}$
. This relation is used to produce the theoretical curve of
$K=0$
in figure 4. In this special case of complete wetting, the droplet spreads infinitely as no equilibrium state is expected. For small yet finite values of
$K$
, we note that (3.27) does not hold when approaching the equilibrium state, because the contact line speed satisfies
$\dot {L}\to 0$
, thereby violating the assumption
$\dot {L}/K^3\gg 1$
required by (3.17). In this situation, one can adopt (3.26) to describe the very late stage of spreading, which, however, is out of the scope of the present work.
Temporal evolution of the droplet length
$L$
during the asymmetric spreading stage.

Besides the conditions of vanishing film thickness and flux, the derivation of the droplet evolution does not require any knowledge of the microscopic behaviour near the pinned contact line, implying that the local behaviour near the pinned contact line is determined by the macroscopic dynamics. Accordingly, the outer solution supplies a far-field condition for the inner region. We present an asymptotic analysis to elucidate the structure of the boundary layer near the pinned contact line, and demonstrate that the curvature singularity can be regularised by introducing the Navier slip. To this end, we introduce the inner variables
The governing equation for the inner region becomes
with BCs
As
$\xi \to \infty$
, we anticipate that the inner and outer solutions can be matched. Expressing (3.20) together with (3.22) and (3.24) in terms of the inner variables, and expanding for large
$\xi$
, we obtain
where
$\epsilon \equiv \dot L\lambda \ln \lambda$
. This asymptotic relation serves as the far-field condition for the inner region.
Inspired by the form of (3.31), we consider a more general situation in which
$\dot L$
,
$\lambda$
and
$\epsilon$
are independent and vanishingly small, and seek an inner expansion in the form
Then the first term in (3.29) becomes
which allows the time derivative to be dropped up to order
$\mathcal{O}(\dot L\lambda )$
. It is straightforward to successively demonstrate that
for
$n\in \{0,1,2,3\}$
, and
The BCs are obtained as
for
$n\in \{0,1,2,3,4\}$
, and
as
$\xi \to \infty$
. The corresponding solutions can be found as
\begin{gather} \begin{split} H_0=\frac {4}{L^2}\xi , \quad H_1=\frac {L^4}{16}\xi ,\quad H_2=-\frac {4}{L^3}\xi ^2+A\xi ,\quad H_3=\frac {L^3}{32}\xi ^2+B\xi ,\\ H_4=\frac {L^3}{512}\big [(L^2+4\xi )^2\ln (L^2+4\xi )-2L^4\ln {L}\big ]-\frac {2\ln (4L)+7}{64}L^3\xi ^2+C\xi . \end{split} \end{gather}
The coefficients
$A$
,
$B$
and
$C$
remain to be determined; however, the corresponding terms only introduce an
$\mathcal{O}(\lambda )$
correction of the film thickness and slope, and do not contribute to the curvature. Accordingly, the surface slope in terms of outer variables, after assigning
$\epsilon =\dot L\lambda \ln \lambda$
, is given by
which is consistent with (3.25) and hardly varies across the inner region near the pinned contact line. The second-order derivative has the form
where
$\kappa _{\textit{ap}}=-{8}/{L^3}$
is the curvature of the leading-order approximation of the outer solution (3.22), namely the apparent curvature. In particular, the curvature has been regularised in the presence of slip, leading to a finite microscopic curvature at the contact line
which is a counterpart of the well-known Cox–Voinov law for moving contact lines (Voinov Reference Voinov1976; Cox Reference Cox1986).
A comparison between the asymptotic theory and numerical results is presented in figure 5; the latter are obtained using the numerical method described in Appendix B. As shown in figure 5(a), the temporal decrease of the contact angle during spreading is accurately predicted by (3.39). The instantaneous profile of the film curvature is plotted in figure 5(b). It is shown that the outer solution well predicts the macroscopic variation of the curvature, but fails to capture the finite curvature upon approaching the pinned contact line within a distance of
$\mathcal{O}(10\lambda )$
, where the inner solution is necessary to describe the microscopic curvature. The outer and inner solutions overlap in a region characterised by a logarithmic variation of the curvature.
Microscopic properties of the inner region near the pinned contact line for
$K=0.5$
. (a) Evolution of the contact angle
$\partial _xh(0,t)$
with the theoretical curve given by (3.39). (b) Snapshot of the surface curvature
$\partial ^2_xh(x,t)$
at
$t=50$
. The outer solution represents the second-order derivative of (3.20) together with (3.22) and (3.24); the inner solution corresponds to (3.40).

4. The 3-D droplets
For 3-D cases, theoretical solutions are difficult to obtain; nonetheless, several quantitative features can be revealed by solving the 3-D problem (2.2)–(2.6) with the numerical method introduced in § 2. A symmetric condition has been imposed on the
$y=0$
plane to reduce the computational cost. As illustrated in figure 6 for
$K=0.2$
, the two-stage evolution observed in 2-D cases is also present for 3-D droplets. In the migration stage, the droplet traverses the wettability border. When the droplet completely leaves the less hydrophilic side, the asymmetric spreading stage begins, and the droplet evolves towards equilibrium on the more hydrophilic substrate. Different from spreading on homogeneous substrates, this process is constrained by the wettability border, where part of the contact line is pinned. The droplet eventually detaches from the border at equilibrium.
Snapshots of a 3-D droplet driven by a chemical step with
$K=0.2$
: (a–c) migration stage and (d–f) asymmetric spreading stage.

Snapshots of the contact line position at different time instants for
$K=0.2$
. The arrows indicate the direction of increasing time. (a,b) Migration stage, separated by the (a) absence and (b) presence of pinned contact lines at the wettability border. (c,d) Asymmetric spreading stage, separated by the (c) absence and (d) presence of receding contact lines. The dashed lines mark the wettability border.

More details of the droplet evolution can be inferred from the morphology of the contact line, as shown in figure 7. For clarity, the migration stage is further divided into two sub-stages, depending on whether pinned contact lines occur. For
$t\lesssim 80$
(figure 7
a), the droplet is elongated and moves across the wettability border. The contact line recedes at the droplet tail on the less hydrophilic side, and advances in the more hydrophilic region as well as the less hydrophilic region near the border. At
$t\approx 80$
, only a small fraction of the liquid is left on the less hydrophilic region, where the whole contact line recedes afterwards, while the contact line on the more hydrophilic region keeps advancing. Consequently, the mismatch of the contact line speed causes the occurrence of pinned contact line at the border, as shown in figure 7(b). The two segments of the pinned contact line extend and eventually connect when the droplet fully enters the more hydrophilic region at
$t\approx 130$
, after which the asymmetric spreading stage starts. The asymmetric spreading is analogously divided into two sub-stages based on the direction of contact line movement. At the beginning of spreading (figure 7
c), the contact line advances, accompanied by a slight increase of the length of the pinned contact line. At later times (figure 7
d), the contact line near the border begins to recede. Eventually, the droplet detaches from the wettability border and approaches the equilibrium state at the more hydrophilic substrate, which corresponds to a circular contact line.
Temporal evolution of droplet length
$L$
and the
$x$
-coordinate of the foremost point
$x_2$
.

The temporal evolution of droplet length
$L$
and the foremost contact line position
$x_2$
is depicted in figure 8. The two curves for each
$K$
merge, hence
$L=x_2$
in the asymmetric spreading stage. During the migration stage,
$x_2$
increases in an approximately linear manner, especially for small values of
$K$
. The droplet length
$L$
exhibits a non-monotonic variation in the migration stage, in contrast to the 2-D cases where a steady migration with a constant length is present. A remarkable decrease of
$L$
can be observed before the onset of asymmetric spreading stage, leading to a minimum length even less than the initial diameter of the contact line. As can be inferred from figures 7(a,b), this is due to lateral wetting flow on the more hydrophilic region, which increases the longitudinal dewetting speed at the droplet rear. In the asymmetric spreading stage, the droplet length increases towards the equilibrium value.
The maximum droplet width on more hydrophilic region
$W$
is plotted in figure 9 as a function of
$t$
in log–log scales. The grey dots mark the critical instants between the two stages, which correspond to the instants when the leftmost point crosses
$x=0$
, or equivalently to the merging points of
$L$
and
$x_2$
in figure 8. At early times, the maximum width occurs at the border and increases following the power law
$W\sim t^{1/2}$
, reminiscent of the early growth of bridge width in the coalescence of sessile droplets (Ristenpart et al. Reference Ristenpart, McCalla, Roy and Stone2006; Kaneelil et al. Reference Kaneelil, Pahlavan, Xue and Stone2022). The increase of droplet width slows down over time. Interestingly, an overshoot is observed before approaching the equilibrium state. This is again associated with the lateral wetting flow once most of the liquid resides on the more hydrophilic region.
Droplet width on the more hydrophilic side
$W$
as a function of time. The grey dots mark the critical instants between two stages. The ratio of contact angles
$K$
varies from 0.2 to 0.9 with increment 0.1. The equilibrium radius
$R_{eq}$
is as marked for
$K=0.2$
and
$K=0.9$
.

5. Effect of initial condition
The 2-D droplet length
$L$
and the contact line positions
$-x_1$
and
$x_2$
as functions of (a) time
$t$
and (b) the shifted time
$\tau =t-t_0$
for
$K_0\in \{1,1.5,2,3,5\}$
and
$K=0.5$
. The grey dots mark the critical instants
$t_0$
between the migration and asymmetric stages.

In this section, the effect of the initial droplet apparent contact angle
$K_0$
is investigated by numerically solving the 2-D and 3-D problems. For both cases, the parameter
$K_0$
is varied over the set
$\{1,1.5,2,3,5\}$
, and the wettability contrast between two regions is fixed at
$K=0.5$
. For ease of comparison, a shifted time
$\tau =t-t_0$
is introduced, where
$t_0$
is the critical instant between the migration stage and the asymmetric spreading stage. Droplet evolution with respect to both
$t$
and
$\tau$
is plotted and described below.
Figure 10 depicts the temporal variation of the contact line positions
$x_1$
,
$x_2$
and the length
$L=x_2-x_1$
of 2-D droplets. Regardless of the initial apparent contact angle, the droplet always evolves into a stage of steady migration, followed by a stage of asymmetric spreading. The steady migration and the asymmetric spreading are preceded by an early spreading that elongates the droplet to the same length, which is determined by
$K$
as obtained in § 3.1. After reaching the same steady migration state, the subsequent droplet motions are identical, as demonstrated in figure 10(b) by using the shifted time
$\tau$
. The differences are only evident in the early spreading process before approaching the steady state. For the case
$K_0=1$
, the droplet advances only on the more hydrophilic region, and recedes on the less hydrophilic region, whereas for
$K_0\gt 1$
, the droplets initially spread simultaneously on both sides, as indicated by the non-monotonic variation of
$x_1$
. As
$K_0$
increases, the droplet is more plump upon contact with the wettability border, hence both contact lines advance more rapidly, and the elongation accelerates, causing a faster early spreading. The transient advancing of the left-hand contact line is reversed by the overwhelming effect of the wettability contrast and the steady migration develops. As the droplet at larger
$K_0$
is narrower, it leaves the less hydrophilic region at an earlier time
$t_0$
.
The 3-D droplet size and position as functions of (a,c) time
$t$
and (b,d) shifted time
$\tau$
under different
$K_0\in \{1,1.5,2,3,5\}$
and fixed
$K=0.5$
. (a,b) Droplet length
$L$
and the
$x$
-coordinates of the backmost point
$x_1$
and the foremost point
$x_2$
. (c) Droplet width
$W$
in log–log coordinates. (d) Droplet width
$W$
as a function of shifted time
$\tau$
in linear coordinates. The grey dots mark the critical instants
$t_0$
between the migration and asymmetric stages.

For 3-D droplets shown in figure 11, the effect of
$K_0$
is also confined to the early process. Figures 11(a,b) demonstrate the droplet evolution along the
$x$
-direction, where the length varies non-monotonically during migration, but qualitatively similar
$K_0$
-dependence in the 2-D cases is observed. For different
$K_0$
, the droplet length and
$x$
-coordinates still converge at some point and follow the same dynamics thereafter when the shifted time is used. The droplet width
$W$
defined in the
$y$
-direction, shown in figures 11(c,d), grows more rapidly for larger
$K_0$
in the early spreading process, but eventually converges during the migration stage before
$\tau =0$
. When
$K_0\gt 1$
, the
$t^{1/2}$
law of the droplet width
$W$
is violated at early times, presumably owing to the significant spreading on both regions.
As demonstrated above, the value of
$K_0$
mainly influences the early spreading process that adjusts the droplet profile to reach the migration state, after which the evolution is determined by
$K$
rather than
$K_0$
.
6. Concluding remarks
We have investigated the spontaneous relaxation of a thin droplet over a chemical step and identified two distinct stages for both 2-D and 3-D configurations. The contact line singularity is alleviated using a Navier slip model with a sufficiently small slip length. Driven by the wettability contrast, the droplet first migrates from the less to the more hydrophilic side. Under the same wettability contrast
$K$
, droplets with different initial shapes characterised by varying
$K_0$
reach the identical state and follow the same migration motion thereafter. When all the liquid leaves the less hydrophilic region, the droplet remains far from equilibrium, leading to a subsequent stage of asymmetric spreading with a portion of contact line pinned at the border.
For 2-D droplets, a steady motion is reached during the migration stage, where the droplet maintains a stationary profile that travels at a constant velocity. As demonstrated by asymptotic analysis and numerical calculations, both the droplet length and velocity increase with decreasing
$K$
, until attaining their maximum values when the more hydrophilic region is perfectly wettable. During the 2-D asymmetric spreading, the droplet evolution is primarily determined by the advancing contact line, while the detailed information near the pinned contact line is not involved. Our asymptotic analysis reveals the existence of a boundary layer near the pinned contact line, across which the surface slope is approximately constant, whereas the curvature exhibits logarithmic variations and can be regularised by introducing the Navier slip condition.
The evolution of 3-D droplets is qualitatively analogous to the 2-D case, while being significantly affected by the lateral flow. When
$K_0=1$
, the contact line of the droplet on the more hydrophilic region advances linearly in the
$x$
-direction, and expands according to a power law
$t^{1/2}$
in the
$y$
-direction at early times. Different from 2-D droplets, the lateral wetting flow in the more hydrophilic region causes a non-monotonic variation of the droplet length and complicated formation of the pinned contact line. When most of the liquid has reached the more hydrophilic region, the droplet length decreases and a portion of the contact line is pinned at the wettability border. The presence of the pinned contact line results in the asymmetric spreading of the droplet, which eventually detaches from the border and approaches a new equilibrium state. An overshoot of the droplet width occurs due to the lateral wetting flow.
We note that the 3-D perfect wetting case (
$K=0$
) is not investigated in the present work owing to the limitations of the numerical method. Nonetheless, qualitative behaviour can be deduced based on the results of partial wetting. Since the contact line must advance indefinitely on a perfectly wetting substrate, the detaching process observed in figure 7(d) will be absent. Instead, the process in figure 7(c) is expected to sustain, and eventually the liquid spreads and covers the more hydrophilic half-plane completely. In this scenario, the width of the pinned contact line at the wettability border and the evolution of the film morphology are worth investigating.
Finally, it is noteworthy that the expression of the boundary layer near the pinned contact line (3.40) can be generalised to general macroscopic configurations. We expect that the surface profile near the pinned contact lines depends primarily on the local behaviours of the macroscopic surface, e.g. the apparent contact angle
$\theta (t)$
, which also represents the slope angle across the boundary layer, and the apparent curvature
$\kappa _{\textit{ap}}(t)$
. Using these local quantities, we can write in dimensional form
where
$L_M$
is a macroscopic length scale, and the coefficient
$P$
depends on the specific macroscopic configuration. This relation holds for slow rotational speed
$\dot {\theta }$
.
Funding
This work was supported by the NSFC (grant nos 12241204, 12325208 and 12388101).
Declaration of interests
The authors report no conflict of interest.
Appendix A. Numerics for 2-D migration
This appendix introduces the numerical method for solving (3.2)–(3.4). As
$L$
is an unknown variable, the domain
$x\in [0,L]$
was rescaled by
$r=x/L$
and mapped onto
$r\in [0,1]$
. Therefore, the ordinary differential equation (ODE) becomes
and the volume condition becomes
To handle (A2), the third-order ODE (A1) is transformed into four first-order ODEs:
\begin{equation} \begin{cases} f_1'=f_2,\\ f_2'=f_3,\\ f_3'= \dfrac{L^3\delta }{({h^2+\lambda h})},\\ f_4'=f_1, \end{cases}\quad \text{where}\quad \begin{cases} f_1=h,\\ f_2=h',\\ f_3=h'',\\ f_4= \int _{0}^{r}h\, \mathrm{d}r. \end{cases} \end{equation}
The BCs (3.3) cannot be directly implemented since the ODE for
$f_3$
encounters singularity at the contact lines. Following Benilov & Benilov (Reference Benilov and Benilov2015), this difficulty is resolved by imposing a cut-off at the inner region
$r=\varDelta$
and
$\ 1-\varDelta$
with
$\varDelta \ll \lambda$
, where new BCs are obtained by a Frobenius-style expansion as
\begin{align} h\sim{}& \textit{KL}(1-r)-\frac {L^2\delta }{2\lambda K}(1-r)^2\ln {[\textit{KL}(1-r)]}\notag \\ &{}+A_1K^2L^2(1-r)^2+\mathcal{O}\big [(1-r)^3\ln {(1-r)}\big ] \quad \text{as}\quad r\to 1 . \end{align}
These asymptotic relations provide six Dirichlet BCs for
$f_1$
–
$f_3$
at
$r=\varDelta$
and
$r=1-\varDelta$
. For
$f_4$
, we use the leading order of (A4) and (A5) to obtain the BCs with an
$\mathcal{O}(\varDelta ^3\ln \varDelta )$
precision:
The eight BCs are sufficient to solve for
$f_1$
–
$f_4$
, and the unknown parameters
$L$
,
$\delta$
,
$A_0$
and
$A_1$
. For perfect wetting, the asymptotic solution at the advancing contact line is replaced with
\begin{equation} h = \sqrt {\frac {8L^3\delta }{3\lambda }}(1-r)^{{3}/{2}}+A_1\lambda \left [\frac {L\delta ^{1/3}(1-r)}{\lambda }\right ]^{({5+\sqrt {13}})/{4}} \quad \text{as}\quad r\to 1. \end{equation}
The first-order system (A3) together with the BCs is solved using the MATLAB routine bvp5c.
Appendix B. Numerics for 2-D asymmetric spreading
The numerical solutions of the partial differential equation (3.1a
) and BCs (3.19) are obtained by employing a numerical approach similar to that presented in Qin et al. (Reference Qin, Lu and Gao2024) and Wang, Qin & Gao (Reference Wang, Qin and Gao2025a
), with an additional treatment of the pinned contact line. The advancing contact line at
$x=L(t)$
introduces a moving boundary, which is addressed by introducing
$r=x/L$
. The governing equation on the rescaled domain
$r\in [0,1]$
becomes
This equation can be transformed into a first-order system
\begin{equation} \begin{cases} f_1'=f_2,\\ f_2'=f_3,\\ f_3'=f_4,\\ f_4'=\dfrac {-L^4\partial _th+L^3\dot Lrf_2-(3f_1+2\lambda )f_1f_2f_4}{f_1^2(f_1+\lambda )}, \end{cases}\quad \text{with}\quad \begin{cases} f_1=h,\\ f_2=h',\\ f_3=h'',\\ f_4=h'''. \end{cases} \end{equation}
Here, a prime denotes a derivative with respect to
$r$
. The cut-off in Appendix A is also implemented to avoid singularities in the last equation for both moving and pinned contact lines. The asymptotic relation at the advancing contact line is (A5) for finite
$K$
, or (A7) for
$K=0$
. Following Eggers & Fontelos (Reference Eggers and Fontelos2025),
$h$
near the pinned contact line can be expanded as
The BCs of
$f_1$
to
$f_4$
can be evaluated using these asymptotic expressions. The time derivative of
$h$
,
$L$
and
$\theta$
is discretised with the first-order Euler implicit scheme. Given the solutions at the previous time step, this ODE system of
$f_1$
–
$f_4$
with four additional unknown parameters
$L$
,
$\theta$
,
$A_1$
and
$a$
can be solved with eight BCs of
$f_1$
–
$f_4$
at
$r=\varDelta$
and
$r=1-\varDelta$
.






























































