Conferences  >  Physics  >  Thermodynamics, Fluid Dynamics and Statistical Physics

von Karman Institute for Fluid Dynamics

This course gives an overview and practical hands-on experience in integrating machine learning in fluid dynamics. The course originated as a compressed version of the course Machine Learning for Fluid Dynamics, given at the Research Master program at the von Karman Institute. After a brief review of the machine learning landscape, we show how to frame problems in fluid mechanics as machine learning problems, and we explore challenges and opportunities. Attendees will be guided through a series of tutorial sessions in Python and will tackle several relevant applications: aeroacoustics' noise prediction, turbulence modelling, reduced-order modelling and forecasting, meshless integration of (partial) differential equations, super-resolution and flow control.

Continuing Professional Education, Courses (general),    Neural Networks and Artificial Intelligence, Machine Learning

Chemical Engineering,    Applied Physics (general)

CIRM – Centre International de Rencontres Mathématiques

This lecture series is organized by the von Karman institute for Fluid Dynamics with the financial support of the NATO Science & Technology Organization.

This lecture series is suitable for individuals with a background in fluid dynamics and an interest in learning about the potential of quantum computing in this field.

Courses and Events for Physics Students,    Quantum Information Theory and Quantum Computing

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

QTD 2024 is the annual conference on quantum thermodynamics held in person at the University of Maryland, College Park, MD. The conference’s primary goal is to discuss recent advances in quantum thermodynamics, the field that studies thermodynamic processes at the quantum scale.

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Information Theory, Foundations of Computer Science

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Since 1964, initiated by Harold Springall, championed throughout the 1960s and 1970s by Max McGlashan and Sir John Rowlinson, the Thermodynamics Conference series has been devoted to showcasing the scientific and engineering contributions encompassing the research subjects of chemistry, physics, biology, chemical engineering, petroleum engineering and materials science.

Chemical Engineering,    Applied Physics (general)

von Karman Institute for Fluid Dynamics

Innovative optimization and design techniques for modern aircraft (manned or UAV/UCAV) and engine systems aiming at maximum performance in a multidisciplinary context (aerodynamic efficiency, safety, drag, losses, weight, strength, heat fluxes, emission, noise, …), are now rapidly moving from research labs to industrial real and virtual platforms. To reach concurrently this level of excellence, emergent optimization methodologies require more and more robust and efficient associated software for a daily use in industrial collaborative design environments. This course intends to provide the basic concepts and tools behind this technology, both in single discipline (single point or multi point design) and multidisciplinary (fluid-structure interaction, fluid-acoustics, conjugate heat transfer, …) context. Subjects which will be treated in detail include: gradient based and steepest descent methods, adjoint methods, one shot or goal oriented methods, evolutionary/differential evolution algorithms on parallel environments, game strategies like Pareto Fronts and Nash Equilibrium, parameterization, surrogate and reduced-order modeling (Radial Basis functions, Artificial Neural Networks, Kriging …), multifidelity modeling approaches, robust design, … The content of this Course is oriented towards junior and experienced engineers and researchers involved in the field of multi disciplinary design and looking for innovative numerical solutions - or set of solutions- for complex multi criteria optimization problems.

Continuing Professional Education, Courses (general),    Mechanical engineering

CIRM – Centre International de Rencontres Mathématiques

American Nuclear Society (ANS)

The DFD Annual Meeting is one of the largest conferences in fluid dynamics, with more than 3,500 attendees expected from around the world. The objective is to promote the advancement and dissemination of knowledge in all areas of fluid dynamics. Students, postdoctoral researchers, university faculty, and researchers across government and industry are encouraged to share the latest developments in the field.

Wilhelm and Else Heraeus-Foundation

Fluctuations are a fundamental manifestation of the microscopic stochastic/quantum dynamics of physical systems. They are present at very different scales and give rise to a plethora of effects, relevant across various research fields. Understanding the origin of fluctuation-induced phenomena is rapidly becoming important not only for fundamental investigations but also for the characterization of experimental setups and for the opportunities and challenges that they offer to modern technologies. The seminar covers a broad range of subjects having fluctuations as a common denominator. It focuses on current challenges encompassing diverse physical systems both in and out of equilibrium, spanning different scales and configurations.

Probability and Statistics, Game Theory,    Metrology and Instrumentation

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)