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03/25/2026 14:00

Turbulent Fluids: New Stochastic Models for the Analysis of Heat Transfer

Henrike Grützner Presse- und Öffentlichkeitsarbeit
Max-Planck-Institut für Mathematik in den Naturwissenschaften (MPIMIS)

    Turbulent fluids play an important role in many natural and engineering processes. For a better understanding of heat transfer in these systems, the Emmy Noether Group at the Max Planck Institute for Mathematics in the Sciences in Leipzig is developing stochastic models to investigate the role of noise in convection.

    In summery:

    - Research Context and Objectives: The new Emmy Noether Group at the Max Planck Institute for Mathematics in the Sciences in Leipzig is focusing on heat transfer in turbulent fluids.

    - Funding and Support: The German Research Foundation (DFG) is funding the project for up to six years with a budget of over 1 million euros.

    - Scientific Methods and Approach: The research group develops stochastic models to describe the complex behavior of fluids and gain a better understanding of heat transfer, leading to new insights and potentially new applications.

    - Milestones and Personnel: Theresa Lange leads her first independent research group, with the addition of a doctoral position and a postdoctoral position starting in the second year.

    The new Emmy Noether Research Group “Noise in Convection: Modeling and Analysis” is funded by the German Research Foundation (DFG) for an initial period of three years, with the possibility of an additional three years following a positive interim evaluation. The budget for the entire six-year period amounts to over 1 million euros.

    The project focuses on investigating heat transfer in fluids using stochastic methods. An everyday example of the turbulent behavior of fluids under the influence of heat can be observed in water boiling in a pot. The question of how this turbulence influences heat transfer, is a long-standing research problem. Stochastic models have proven to be suitable for describing the complex behavior of fluids and thus offer a promising way to better understand heat transfer within. “Precisely, the group’s goal will be to develop suitable stochastic models and to study their well-posedness as well as their effect on the underlying fluids and the heat conduction process.”, said the research group leader.

    This is Theresa Lange’s first research group. She benefits from the existing expertise at the MPI MiS, particularly from the research groups led by Prof. Felix Otto and Prof. László Székelyhidi. In addition, wide-ranging networking with research groups both within and outside Leipzig, as well as with the existing graduate school, will support both Theresa Lange’s research goals and the development of the research group: “In the first year of funding, I plan to fill a doctoral position; in the second year, a postdoc position.”

    Theresa Lange studied at the Technical University of Berlin, where she completed her bachelor's and master's degrees and received her doctorate in 2021 within the SFB1294 “Data Assimilation” program with the highest honor of “summa cum laude”. Following this, she held two consecutive postdoctoral positions, which shifted her research focus toward “Stochastic Fluid Dynamics”. In her first research position, she worked from 2021 to 2024 at Bielefeld University under the supervision of Prof. Martina Hofmanová on the ERC project “FluFloRun” (grant nr. 949981). From 2024 to 2026, she continued her work at the Scuola Normale Superiore di Pisa, under the supervision of Prof. Franco Flandoli, on the ERC project “NoisyFluids” (grant nr. 101053472).


    Contact for scientific information:

    Dr. Theresa Lange
    Head of the Emmy Noether Research Group
    Mail: theresa.lange@mis.mpg.de


    More information:

    https://www.mis.mpg.de/noise-in-convection Information on the Emmy Noether Group "Noise in Convection"


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    Criteria of this press release:
    Journalists, Scientists and scholars, Students
    Mathematics
    transregional, national
    Personnel announcements, Research projects
    English


     

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