**A posteriori modeling error estimates in fluid mechanics**

Models in continuum mechanics - like e.g. the Navier-Stokes equation - in general arise by a drastic simplification of reality. Most model simplification steps rely on modeling assumptions, whose validity is sometimes questionable also in practical situations. As the breakdown of the modeling assumptions may invalidate the predictions of the simplified model, rigorous estimates for the modeling error are highly desirable. In a recent work, I have derived

*fully rigorous explicit*a posteriori estimates for the modeling error caused by the approximation of a slightly compressible fluid as perfectly incompressible, i.e. for the approximation of the compressible Navier-Stokes equation by the incompressible Navier-Stokes equation. My estimates hold for

*weak solutions*to the compressible Navier-Stokes equation as constructed by Lions without assuming any additional regularity. In a subsequent work, I have derived a posteriori modeling error estimates for the higher-order approximation of the compressible Navier-Stokes equation by the combination of the incompressible Navier-Stokes equation with the equations of linearized acoustics. The general approach of a posteriori modeling error estimates - using the information provided by the precise (exact or numerical) solution to the simplified model in order to justify the model simplification

*a posteriori*- is also a promising field for future research, with many questions in particular in fluid mechanics being yet to be settled.

Publications: [12, 18]

**Stochastic homogenization**

Homogenization - the computation of effective properties of materials which are heterogeneous on small scales - has been a very influential field of analysis during the last decades. The predictions of classical homogenization, however, are often restricted to periodically varying materials. Unfortunately, materials occuring in nature are almost never perfectly periodic; rather, the microscopic material properties are expected to be somewhat randomly distributed and the correlations of the microscopic properties of the material are expected to decay on larger scales. It is a basic observation of stochastic homogenization that nevertheless a homogenization result holds in many cases. Despite the qualitative theory for stochastic homogenization of e.g. elliptic equations having been settled decades ago, the

*quantitative theory*is a very active area of research. In a recent joint work with Peter Bella, Benjamin Fehrman, and Felix Otto, for linear elliptic PDEs and fast decorrelation of the underlying random field we establish higher-order error estimates for the homogenization error in weak spatial norms: While in L

^{p}-type norms the homogenization error is of the order ε, for the H

^{-1}norm of the error we derive improved bounds like ε

^{3/2}or ε

^{2}, depending on the dimension. An earlier joint work with Felix Otto is dedicated to a C

^{k,α}large-scale regularity theory and associated Liouville principles for random elliptic operators; here we require just stationarity and mildly quantified ergodicity of the probability distribution of the coefficient field.

Publications: [15, 16, 17, 22]

**Thin liquid films and free boundary problems**

The thin-film equation describes the surface-tension-driven evolution of thin viscous liquid films on a solid surface. Mathematically, it is a fourth-order degenerate parabolic equation. The analysis of free boundaries in solutions to the thin-film equation is a difficult issue: For a long time, only upper bounds on free boundary propagation have been available. Due to a lack of a comparison principles for higher-order equations like the thin-film equation, standard strategies for the derivation of lower bounds on free boundary propagation do not apply. Only recently, my discovery of certain monotonicity formulas for solutions to the thin-film equation has provided better insights, resulting in optimal sufficient conditions for instantaneous forward motion of the free boundary and optimal lower bounds on asymptotic propagation rates for the free boundary. The resulting method turned out to be flexible enough to allow for analysing qualitative behaviour of solutions to other higher-order parabolic equations.

Publications: [1, 2, 5, 6, 8, 9, 14, 21]

**Quantum drift-diffusion models**

In a certain regime, the process of charge transport in semiconductors can approximately be captured by drift-diffusion models. A refined version of the classical drift-diffusion models are the so-called quantum drift-diffusion models, which incorporate extra terms accounting for quantum corrections. The question of existence of solutions to the resulting PDEs was settled more than half a decade ago; however, in the nonstationary case the question of uniqueness of solutions has since remained open. Recently, I have succeeded in proving uniqueness of solutions and even well-posedness of the problem. By an adaption of the method developed for the thin-film equation, I have also shown infinite speed of propagation of solutions.

Publications: [5, 7]

**Entropic reaction-diffusion equations**

For many chemical reactions occurring in nature, the reaction rate is approximated well by mass-action kinetics. However, in reaction rates of mass-action type, possibly large powers of the species densities enter. At the same time, only limited energy estimates are available for the corresponding reaction-diffusion equation. For this reason, for reaction-diffusion equations with species-dependent diffusion and mass-action kinetics in general no global existence of any kind of solution was known. Recently, I have proposed a notion of renormalized solution for such equations; relying on the entropy inequality, I prove global existence of solutions. If a posteriori the reaction rates turn out to be integrable, my notion of renormalized solution reduces to the usual notion of weak solution.

Publications: [3, 11, 20]

**Stochastic partial differential equations**

Stochastic partial differential equations are an important tool in mathematical modeling. However, for many methods for deterministic PDE, no counterparts for SPDE have yet been established. In a recent joint work with Günther Grün, we devise a technique for proving upper bounds on the expansion of the support of solutions to degenerate parabolic stochastic PDE, resulting in sufficient conditions for the occurrence of a waiting time phenomenon for the stochastic porous medium equation.

Publications: [10, 21]