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Hydrodynamic liquid crystal models for lipid bilayers

Published online by Cambridge University Press:  27 April 2026

Ingo Nitschke
Affiliation:
Institut für Wissenschaftliches Rechnen, Technische Universität Dresden , 01062 Dresden, Germany
Jan Magnus Sischka
Affiliation:
Institut für Wissenschaftliches Rechnen, Technische Universität Dresden , 01062 Dresden, Germany
Axel Voigt*
Affiliation:
Institut für Wissenschaftliches Rechnen, Technische Universität Dresden , 01062 Dresden, Germany Center for Systems Biology Dresden (CSBD), Pfotenhauerstr. 108, 01307 Dresden, Germany Cluster of Excellence Physics of Life (PoL), Technische Universität Dresden, 01062 Dresden, Germany
*
Corresponding author: Axel Voigt, axel.voigt@tu-dresden.de

Abstract

Coarse-grained continuous descriptions for lipid bilayers are typically based on minimising the Helfrich energy. Such models consider the fluid properties of these structures only implicitly and have been shown to nicely reproduce equilibrium properties. Model extensions that also address the dynamics of these structures are surface (Navier–)Stokes–Helfrich models. They explicitly account for membrane viscosity. However, these models also usually treat the lipid bilayer as a homogeneous continuum, neglecting the molecular degrees of freedom of the lipids. Here, we derive refined models that consider in addition a scalar order parameter representing the molecular alignment of the lipids along the surface normal. Starting from hydrodynamic surface liquid crystal models, we obtain a hydrodynamic surface Landau–Helfrich model for asymmetric lipid bilayers and a surface Beris–Edwards model for symmetric lipid bilayers. The fully ordered case for both models leads to the known surface (Navier–)Stokes–Helfrich models. Besides more detailed continuous models for lipid bilayers, we therefore also provide an alternative derivation of surface (Navier–)Stokes–Helfrich models. The impact on the dynamics is demonstrated by numerical simulations.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Symmetric lipid bilayer. (a) Lipid molecules are in a fully ordered state ($\beta =({2}/{3})$), i.e. they are perfectly aligned perpendicular to the surface ${\mathcal{S}}$. (b) The degree of orientational order $\beta$ decreases from left to right, while the mean molecular alignment remains normal to the surface. The bilayer is represented by a surface ${\mathcal{S}}$ (green line) and the molecular orientation by a Q-tensor field $ \boldsymbol{Q}$ fulfilling ansatz (4.1), i.e. $ \boldsymbol{Q}$ is depicting an apolar normal field (grey rods) with order parameter $\beta$ (greyscale). For $ \beta \neq 0$, the lipid molecules are not in an isotropic state, the geometric minimal configuration is obtained by minimising the Helfrich energy with zero spontaneous curvature, thus leading to a flat surface.

Figure 1

Figure 2. Asymmetric lipid bilayer. The asymmetry may arise through various mechanisms. We provide some examples. (a) Differing molecular compositions. (b,d) Differing molecular densities. (c) Scaffold protein. The molecular orientation is represented by a Q-tensor field $ \boldsymbol{Q}$ fulfilling ansatz (4.1), i.e. $ \boldsymbol{Q}$ is depicting an apolar normal field (grey rods) with order parameter $\beta$ (greyscale). (a,b,c) In the ordered state ($ \beta =({2}/{3})$), with all lipid molecules aligned normal to the surface ${\mathcal{S}}$ (green curve), the minimal geometric configuration is achieved when the mean curvature takes its spontaneous curvature value (${\mathcal{H}}_{0}$). (d) A less ordered non-uniform state ($\beta \lt ({2}/{3})$) may counteract this effect, since another spontaneous curvature ($\hat {\mathcal{H}}_0$) related to the isotropic state ($ \beta = 0$) can be imposed additionally. The geometric minimal configuration is achieved for a curved surface with the mean curvature depending on $\beta$, ${\mathcal{H}}_{0}$ and $\hat {\mathcal{H}}_0$.

Figure 2

Table 1. Quantities appearing in the fluid equation (3.4a). Here $ \boldsymbol{V}_{\!\mathfrak{o}}\in {T}{{\mathbb{R}}^3\vert _{\mathcal{S}}}$ is the so-called observer velocity, which is arbitrary, not necessarily divergence free, and could be used as mesh velocity in a discretised problem for instance. Stress tensors $ \tilde {\boldsymbol{\sigma }}$ are written modulo $ {\boldsymbol{I\!d}}_{\mathcal{S}}$, respectively the resulting pressure gradient, in comparison to the listed references, since the model (3.4) is inextensible. The use of $ \boldsymbol{\nabla} _{\!\textsf{C}}$ on $ {{T}^0 \mathcal{S}}$ instead of $ \boldsymbol{\nabla}$ is merely cosmetic; both are equivalent on scalar fields. Note that $ \boldsymbol{\eta }_{\textit{IM}}^{\mathfrak{m}}$ applies only within the material model.

Figure 3

Table 2. Quantities appearing in the molecular equation (3.4b). Here $ \boldsymbol{V}_{\!\mathfrak{o}}\in {T}{{\mathbb{R}}^3\vert _{\mathcal{S}}}$ is the so-called observer velocity, which is arbitrary, not necessarily divergence free, and could be used as mesh velocity in a discretised problem for instance. The use of componentwise operators $ \boldsymbol{\nabla} _{\!\textsf{C}}, \Delta _{\textsf{C}}$ on $ {{T}^0 \mathcal{S}}$ instead of covariant $ \boldsymbol{\nabla }, \Delta$ is merely cosmetic; both are equivalent on scalar fields.

Figure 4

Table 3. Material parameters for the LH model (3.4). Given domains are only necessary, but not sufficient, for solvability or physical plausibility. For instance, Nitschke & Voigt (2025b) suggest $ -3 \lt 2\xi \lt 3$ to maintain a positive definite lipid metric.

Figure 5

Figure 3. Energy density plots of the double-well potential (4.24). In (a) plot we stipulate $ \hat {a}=0$ and choose some values for $ \varpi$. Their additive inverse equal the minimum values at the fully ordered state $ \beta = ({2}/{3})$. In (b) we use $ \varpi =1$ and specify some values for $ \hat {a}$. Only $ \hat {a}=0$ yields an inflection point at the isotropic state $ \beta =0$ instead of a minimum for $ \hat {a} \gt 0$.

Figure 6

Figure 4. Energy density plots of the energy (4.28) ($\hat {\mathcal{H}}_0=\hat {a}=0$) with $L=\bar {\kappa }=0$. We stipulate $\kappa =5$ and $\mathcal{H}_{0}=\varpi =1$. In panel (a) we fix the mean curvature $\mathcal{H}$ for some fixed values around $\mathcal{H}_{0}=1$. Additional we add the $\kappa =0$ case, which does not depend on $\mathcal{H}$ and leads $\beta$ to the fully ordered state $ \beta = ({2}/{3})$. Panel (b) shows the dependency with respect to $ \mathcal{H}$ for some fixed $\beta$s.

Figure 7

Table 4. Inverse of material parameter relations (4.26) for the special cases (4.27) (left column) and (4.28) (right column). The middle column holds for both cases. Since the number of material parameters is reduced from 9 to 5, four constraints on the parameters follow. The relations are not unique due to some of these constraints.

Figure 8

Figure 5. Evolution of the surface Beris–Edwards model (blue), the Navier–Stokes–Helfrich model with $\mathcal{H}_0 = 0$ (apricot), the hydrodynamic surface LH model (green) and the Navier–Stokes–Helfrich model with $\mathcal{H}_0 = -1.77$ (red). The parameters used are stated in Apppendix F. Shown is a double logarithmic plot of the time evolution of the Helfrich energy $\mathfrak{U}_H = \int _{\mathcal{S}} ({\kappa }/{2}) \mathcal{H}^2\,d\mathcal{S}$, with $ {\kappa }/{2} = L = 0.1$, together with snapshots for different levels of $\mathfrak{U}_H$. Here $\mathfrak{U}_H=19.96$ corresponds to the initial condition and $\mathfrak{U}_H=5.03$ to the equilibrium configuration. In addition, we show intermediate states for $\mathfrak{U}_H=17, 11.5$ and $10$ for each model. The frames of the images follow the same colour coding as the plots. On the surface we show the value of the orientation field $\beta$ in colour, ranging from $\beta =0.35$ in light yellow to $\beta =0.67$ in dark orange. While the shape corresponds to the same Helfrich energy and, therefore, only slightly differ, their appearance in time differs between the models with a slower shape evolution for variable $\beta$ far away from the equilibrium state.

Figure 9

Table 5. Necessary terms for the surface-conforming Beris–Edwards models (D1) for a consistent choice $ \varPhi \in \{\mathcal{J},\mathfrak{m}\}$. These representations comprise the tangential deformation gradient $ \boldsymbol{G}[\boldsymbol{V}] = \boldsymbol{\nabla }\boldsymbol{v} - v_{\bot }\boldsymbol{I\!I}$ of the material velocity $ \boldsymbol{V}=\boldsymbol{v}+v_{\bot }\boldsymbol{\nu }$. Here $ \boldsymbol{S}[\boldsymbol{V}]$ and ${\boldsymbol{A}}[\boldsymbol{V}]$ are its symmetric and skew-symmetric part. Time derivatives are determined with respect to an observer velocity $ \boldsymbol{V}_{\!\mathfrak{o}}= \boldsymbol{v}_{\mathfrak{o}} + v_{\bot }\boldsymbol{\nu }$. For more details, see Nitschke & Voigt (2025a,b).