Cavitation meets Data Science

Advances, applications, and challenges at the interfaces of nonlinear physics, data processing, and machine learning

International Symposium
June 10-11, 2022
Göttingen, Germany

Cavitation is governed by highly nonlinear and extremely fast processes that occur on very small spatial scales. A combination of extreme pressures, temperatures and different time scales and an accessibility in normal laboratory environments makes this phenomenon an ideal target for shifting the border in the synergy of experimental techniques, mathematical modelling and data science approaches. New insights and methods in nonlinear dynamics and data analysis co-evolved with pioneering experimental and numerical work. In particular in Göttingen, high-speed imaging and holography, laser-induced cavitation, high performance numerical simulations and the concept of deterministic chaos were used very early and successfully in cavitation research by pioneers in this field such as Werner Lauterborn.

Recent advances in experimental technology and extensive numerical simulations provide a new challenge due to the abundance and quality of new research data, which requires novel approaches and analysis tools. At the same time, there have been very significant advances in the areas of time series analysis, image processing, machine learning, and data assimilation. The goal of this symposium is therefore to bring together researchers working on basic and applied research in cavitation with experts in data science and other fields where new methods of data processing are currently being developed and applied. This exchange of scientific questions, expertise and results is intended to develop shared visions for a better understanding of this fascinating physical phenomenon and for new applications in medicine, technology and other fields.

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The symposium will take place at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany.


May 13, 2022

Registration Deadline


May 13, 2022

Abstracts Submission Deadline

Abstract Submission

May 18, 2022

Notification of Acceptance

May 23, 2022

Payment Deadline


June 10, 2022
9.00 – 18.00

Scientific Program

Day 1 — Cavitation meets Data Science

June 11, 2022
9.15 – 21.45

Scientific Program

Day 2 — Cavitation meets Data Science


Iskander Akhatov (cancelled)

Skoltech Center for Design, Manufacturing and Materials, Moscow, Russia
Machine Learning for Advanced Materials Technologies

Philippe Blanc-Benon

CNRS, École Centrale de Lyon, Lyon, France
Bubble shape oscillations and induced flows

Jochen Bröcker

University of Reading, Reading, UK
Data Assimilation in Complex Nonlinear Systems (and why Data Science is not Just Statistics)

Larry Crum

University of Washington, Seattle, USA
The Critical Role of Cavitation in Clinical Applications of Therapeutic Ultrasound

Bettar el Moctar

Unversität Duisburg-Essen, Duisburg, Germany
Fluid-Structure-Interaction in Multiphase Flows

Bing Han

Nanjing University of Science & Technology, Nanjing, China
Laser-Induced Periodic Surface Structures (LIPPS) in Liquids and the Role of Bubbles

Ferenc Hegedüs

Budapest University of Technology and Economics, Budapest, Hungary
GPU Accelerated Nonlinear Bubble Dynamics

Claude Inserra

LabTAU, Université de Lyon 1, Lyon, France
Bubble shape oscillations and induced flows

Dagmar Krefting

Georg-August-Universität Göttingen, Göttingen, Germany
How Generic are Methods of Nonlinear Dynamics? Applications from Cavitation to Sleep

Christiane Lechner

Technische Universität Wien, Wien, Austria
Fast Jets from Collapsing Cavitation Bubbles

Rachel Pflieger

Institute for Separation Chemistry of Marcoule (ICSM), Bagnols-sur-Cèze, France
Non-equilibrium Plasma in Multibubble Sonoluminescence

Alfred Vogel

Universität zu Lübeck, Lübeck, Germany
From Micro- to Nanocavitation: Experimental and modeling advances

Local Organizing Committee

Robert Mettin

Third Institute of Physics, Georg-August-Universität Göttingen

Ulrich Parlitz

Max Planck Institute for Dynamics and Self-Organization, Göttingen

Stefan Luther

Max Planck Institute for Dynamics and Self-Organization, Göttingen

Martin Wiesenfeldt

Department of Medical Informatics, University Medical Center Göttingen, Georg-August-Universität Göttingen