Claudia C. Raithel

Personal Homepage


Claudia Raithel

Welcome to my webpage!  I am an applied analyst working at the intersection of partial differential equations and stochastics. Currently, I am a postdoc at the TU Wien, where I hold an Austrian Science Fund (FWF) ESPRIT fellowship hosted by the group of Prof. Elisa Davoli. As PI, I lead the ESPRIT project “Effective Large-Scale Models for Random Diffusive Systems”. Previously, I was a postdoc at the TU Dresden in the group of Prof. Stefan Neukamm and also at the TU Wien in the group of Prof. Ansgar Jüngel. I completed my PhD in 2019 under the supervision of Prof. Felix Otto at the Max Planck Institute for Mathematics in the Sciences in Leipzig. My main research interests are quantitative stochastic homogenization of elliptic and parabolic PDEs (in particular, boundary phenomena or situations in which the material sample has macroscopic defects such as cracks, edges, or corners); stochastic particle systems (in particular, fluctuating hydrodynamics models); and cross-diffusion models such as the Maxwell–Stefan model for non-Fickian diffusion.

Contact Details

Email: claudia.raithel@​tuwien.ac.at Address: Wiedner Hauptstraße 8
1040 Wien
Room DA 06 K02

Research Areas

Stochastic homogenization of linear elliptic PDEs:  The central qualitative result in the homogenization of linear elliptic PDEs is classical and states that, under the assumptions of stationarity and ergodicity, as one zooms out, a linear elliptic PDE with random coefficients may be approximated (in some sense, almost surely) by a homogenized PDE with constant coefficients. In recent years robust theories have been developed that yield quantitative results describing the homogenization process under various quantifications of the ergodicity assumption. In my research, I have mainly been interested in settings in which the classical stationarity assumption is broken (e.g., when there is a boundary or an interface) or when the macroscopic situation is itself in some sense singular (e.g., in domains with corners, edges, or cracks).
[1], [2], [4], [7], [8], [10]

Interacting particle systems:  I am mainly interested in McKean–Vlasov diffusion systems, where the “microscopic” description is given by a system of SDEs for the individual particle positions. These are, in particular, mean-field systems, meaning that the total interaction of a particle with all the others may be described in an “averaged” way. Due to the computational cost of simulating many-particle systems directly, it is desirable to derive effective models. In the infinite-particle limit, one may seek to derive a mean-field PDE satisfied by the distributional limit of the empirical measure. In nature, of course, particle numbers are finite, which makes the fluctuations of the dynamics relevant as well. One topic that I am particularly interested in is fluctuating hydrodynamics, in which the fluctuations of a McKean–Vlasov diffusion are described by a scaling-supercritical SPDE called the Dean–Kawasaki equation. Due to the scaling-supercriticality, rigorous justification and well-posedness of fluctuating hydrodynamics models is an active area of research.
[5], [9]

Cross-diffusion systems with entropy structure:  These are (possibly degenerate) strongly coupled parabolic systems. Due to the coupling, the rigorous analysis of these systems can be challenging and is, in general, not amenable to classical energy methods. To recover a priori estimates, often the subclass of cross-diffusion systems that are formally given as the gradient flow of an entropy functional is considered. Such cross-diffusion systems appear very naturally in a variety of contexts; examples include the Shigesada–Kawasaki–Teramoto (SKT) model for population dynamics and the Maxwell–Stefan model for non-Fickian diffusion. Even within this special class of cross-diffusion systems, not much is known concerning the regularity of weak solutions. Previously, together with M. Braukhoff and N. Zamponi, we have been able to derive the first widely applicable partial regularity result in this context, covering, e.g., solutions of the Maxwell–Stefan system and bounded solutions of the SKT model. Since, in this context, full regularity is conjectured, this is a topic that I keep coming back to.
[6]

Singular SPDEs:  These are SPDEs in which the driving noise is so rough that the nonlinearities are not classically defined. In [3] we use Otto and Weber’s framework of modelled distributions to treat the initial value problem for quasilinear parabolic SPDEs driven by additive noise in Cα−2, α ∈ (2/3, 1), a range of comparatively mild roughness within the subcritical regime. The Dean–Kawasaki equation lies beyond this regime altogether, as it is scaling supercritical in the sense of regularity structures. In [9] we do not address its well-posedness; instead, we use it as a tool to describe density fluctuations in weakly interacting particle systems.

Publications

[10] P. Bella, J. Fischer, M. Josien, and C. Raithel. Regularity theorems for random elliptic operators on domains. arXiv preprint: 2604.01209, 2026.

[9] F. Cornalba, J. Fischer, J. Ingmanns, and C. Raithel. Density fluctuations in weakly interacting particle systems via the Dean–Kawasaki equation. Ann. Probab., 54(1): 155–215, 2026.

[8] P. Bella, J. Fischer, M. Josien, and C. Raithel. Boundary layer estimates in stochastic homogenization. arXiv preprint: 2403.12911, 2024.

[7] M. Josien, C. Raithel, and M. Schäffner. Stochastic homogenization and geometric singularities: a study on corners. SIAM J. Math. Anal., 56(2): 2395–2455, 2024.

[6] M. Braukhoff, C. Raithel, and N. Zamponi. Partial Hölder regularity for solutions of a class of cross-diffusion systems with entropy structure. J. Math. Pures Appl., 166: 30–69, 2022.

[5] E. Daus, M. Ptashnyk, and C. Raithel. Derivation of a fractional cross-diffusion system as the limit of a stochastic many-particle system driven by Lévy noise. J. Differential Equations, 309: 386–426, 2022.

[4] M. Josien and C. Raithel. Quantitative homogenization for the case of an interface between two heterogeneous media. SIAM J. Math. Anal., 53(1): 813–854, 2021.

[3] C. Raithel and J. Sauer. The initial value problem for singular SPDEs via rough paths. arXiv preprint: 2001.00490, 2020. To appear in Stoch. Partial Differ. Equ. Anal. Comput.

[2] J. Fischer and C. Raithel. Liouville principles and a large-scale regularity theory for random elliptic operators on the half-space. SIAM J. Math. Anal., 49(1): 82–114, 2017.

[1] C. Raithel. A large-scale regularity theory for random elliptic operators on the half-space with homogeneous Neumann boundary data. arXiv preprint: 1703.04328, 2017.

Current Teaching

In Winter 2026/27 I am teaching the course Introduction to Stochastic Particle Systems at the TU Wien. All literature for the course will be posted here.

General references

The course is based on the two review articles by Chaintron and Diez:

Review I. L.-P. Chaintron and A. Diez. Propagation of chaos: a review of models, methods and applications. I. Models and methods. Kinet. Relat. Models, 15(6): 895–1015, 2022. arXiv: 2203.00446

Review II. L.-P. Chaintron and A. Diez. Propagation of chaos: a review of models, methods and applications. II. Applications. Kinet. Relat. Models, 15(6): 1017–1173, 2022. arXiv: 2106.14812

Here are some other useful general references:

A.-S. Sznitman. Topics in propagation of chaos. In: École d’Été de Probabilités de Saint-Flour XIX – 1989, Lecture Notes in Math. 1464, pp. 165–251. Springer, Berlin, 1991. DOI: 10.1007/BFb0085169

S. Méléard. Asymptotic behaviour of some interacting particle systems; McKean–Vlasov and Boltzmann models. In: Probabilistic Models for Nonlinear Partial Differential Equations, Lecture Notes in Math. 1627, pp. 42–95. Springer, Berlin, 1996. Google Scholar

L. C. Evans. An Introduction to Stochastic Differential Equations. American Mathematical Society, Providence, RI, 2013. Google Scholar

C. Villani. Optimal Transport: Old and New. Springer, Berlin, 2009. Google Scholar

A. Dembo and O. Zeitouni. Large Deviations Techniques and Applications. 2nd ed., Springer, New York, 1998. Google Scholar

Claudia C. Raithel

Curriculum Vitae

Academic Background

Oct. 2024 – present
FWF ESPRIT Project Leader (Postdoc), TU Wien
Project: “Effective Large-Scale Models for Random Diffusive Systems”
Project mentor: Prof. Elisa Davoli
Career break: maternity leave, Dec. 2024 – Jan. 2026
Aug. 2023 – Oct. 2024
Postdoctoral Researcher, TU Dresden
Supervisor: Prof. Stefan Neukamm
Feb. 2023 – July 2023
Consultant, d-fine GmbH
Sept. 2018 – Feb. 2023
Postdoctoral Researcher, TU Wien
Supervisor: Prof. Ansgar Jüngel
Predoctoral researcher (Prae-Doc) from Sept. 2018; postdoctoral researcher following the PhD defense in Mar. 2019
2014 – Mar. 2019
PhD (magna cum laude), Max Planck Institute for Mathematics in the Sciences, Leipzig
Supervisor: Prof. Felix Otto
2011 – 2013
Master’s Degree, University of Texas at Austin
Supervisor: Prof. Thomas Chen
2007 – 2011
Bachelor’s Degree, University of Michigan, Ann Arbor (LSA Honors Program)
Majors: Honors Mathematics and Interdisciplinary Physics

Research Profile

Keywords
Stochastic homogenization, stochastic many-particle systems, elliptic and parabolic regularity theory, singular SPDEs
Collaborators
Marc Josien, Julian Fischer, Federico Cornalba, Peter Bella, Mathias Schäffner, Jonas Sauer, Mariya Ptashnyk, Esther Daus, Nicola Zamponi, Marcel Braukhoff, Jonas Ingmanns, Alexandra Holzinger, Guy Foghem Gounoue

Publications and Preprints

ORCID: 0000-0002-6617-3268

  1. P. Bella, J. Fischer, M. Josien, and C. Raithel. Regularity theorems for random elliptic operators on domains. arXiv preprint: 2604.01209, 2026.
  2. F. Cornalba, J. Fischer, J. Ingmanns, and C. Raithel. Density fluctuations in weakly interacting particle systems via the Dean–Kawasaki equation. Ann. Probab., 54(1): 155–215, 2026. DOI: 10.1214/25-AOP1763
  3. P. Bella, J. Fischer, M. Josien, and C. Raithel. Boundary layer estimates in stochastic homogenization. arXiv preprint: 2403.12911, 2024.
  4. M. Josien, C. Raithel, and M. Schäffner. Stochastic homogenization and geometric singularities: a study on corners. SIAM J. Math. Anal., 56(2): 2395–2455, 2024. DOI: 10.1137/23M1559361
  5. M. Braukhoff, C. Raithel, and N. Zamponi. Partial Hölder regularity for solutions of a class of cross-diffusion systems with entropy structure. J. Math. Pures Appl., 166: 30–69, 2022. DOI: 10.1016/j.matpur.2022.07.006
  6. E. Daus, M. Ptashnyk, and C. Raithel. Derivation of a fractional cross-diffusion system as the limit of a stochastic many-particle system driven by Lévy noise. J. Differential Equations, 309: 386–426, 2022. DOI: 10.1016/j.jde.2021.11.027
  7. M. Josien and C. Raithel. Quantitative homogenization for the case of an interface between two heterogeneous media. SIAM J. Math. Anal., 53(1): 813–854, 2021. DOI: 10.1137/20M1311983
  8. C. Raithel and J. Sauer. The initial value problem for singular SPDEs via rough paths. arXiv preprint: 2001.00490, 2020. To appear in Stoch. Partial Differ. Equ. Anal. Comput.
  9. J. Fischer and C. Raithel. Liouville principles and a large-scale regularity theory for random elliptic operators on the half-space. SIAM J. Math. Anal., 49(1): 82–114, 2017. DOI: 10.1137/16M1070384
  10. C. Raithel. A large-scale regularity theory for random elliptic operators on the half-space with homogeneous Neumann boundary data. arXiv preprint: 1703.04328, 2017.

Awards and Grants

2024
2024
Travel Award of the Graduiertenakademie, TU Dresden
2020
Project leader, OeAD Project “Regularity and qualitative behavior of solutions to extended Maxwell–Stefan systems” (with Charles University, Prague)
2011
NSF Graduate Research Fellowship
Relinquished upon moving to the Max Planck Institute in Leipzig

Invited Talks

June 2026
Boundary layers in stochastic homogenization.
Pattern Formation, Energy Landscapes, and Scaling Laws – celebrating Felix Otto as a mentor, collaborator, and mathematician, Sorbonne Université, Paris
Sept. 2025
Density fluctuations in weakly interacting particle systems via the Dean–Kawasaki equation.
ÖMG-DMV Annual Meeting 2025, Session: Partial Differential Equations, Johannes Kepler Universität Linz
July 2024
Density fluctuations in weakly interacting particle systems via the Dean–Kawasaki equation.
9ECM 2024, Minisymposium: Interfaces between Interacting Particle Systems and PDEs, Seville
June 2024
Boundary layer estimates in stochastic homogenization.
EQUADIFF 2024, Minisymposium: Emerging problems in the homogenization of multiphysics systems, Karlstad University
May 2024
Density fluctuations in weakly interacting particle systems via the Dean–Kawasaki equation.
n-Cities Seminar, Max Planck Institute for Mathematics in the Sciences, Leipzig
June 2023
Density fluctuations in weakly interacting particle systems via the Dean–Kawasaki equation.
Workshop on Interacting Particles, Fluctuating Systems, and SPDEs, University of Oxford
Jan. 2023
Partial Hölder regularity for a class of cross-diffusion systems with entropy structure.
Arbeitsgemeinschaft Angewandte Analysis, Max Planck Institute for Mathematics in the Sciences, Leipzig
Mar. 2022
Derivation of a fractional cross-diffusion system as the limit of a stochastic many-particle system driven by Lévy noise.
SIAM Conference on Analysis of PDEs, Minisymposium: Systems of Interacting Particles – Analysis and Pattern Formation (online)
Dec. 2020
Partial Hölder regularity for a class of cross-diffusion systems with entropy structure.
Oberseminar Analysis, University of Mainz (online)
Sept. 2020
The initial value problem for singular SPDEs via rough paths.
DMV Jahrestagung, Minisymposium: Nonlinear PDEs and Probability, TU Chemnitz (online)
July 2020
Partial Hölder regularity for a class of cross-diffusion systems with entropy structure.
Applied Analysis Seminar Series, University of Erlangen (online)

Teaching Experience

Lecturer

Winter 2026/27
Introduction to Stochastic Particle Systems, TU Wien
Summer 2024
Boundary phenomena in stochastic homogenization, section of the graduate lecture series “Applied Analysis,” TU Dresden

Exercise sessions

Summer 2024
Analysis 2 for Teachers, TU Dresden (2 sections)
Winter 2023/24
Analysis 1 for Teachers, TU Dresden (2 sections)
Winter 2022/23
Partial Differential Equations, TU Wien (1 section)
Summer 2022
Ordinary Differential Equations, TU Wien (2 sections)
Winter 2021/22
Analysis 1, TU Wien (weekly Repetitorium)
Summer 2021
Ordinary Differential Equations, TU Wien (1 section)
Winter 2020/21
Partial Differential Equations, TU Wien (1 section)
Summer 2020
Calculus of Variations, TU Wien (1 section)
Winter 2019/20
Modelling with Partial Differential Equations, TU Wien (1 section)