ISC CFDML 2020 : FIRST INTERNATIONAL WORKSHOP ON THE APPLICATION OF MACHINE LEARNING TECHNIQUES TO COMPUTATIONAL FLUID DYNAMICS SIMULATIONS AND ANALYSIS Frankfurt, Germany
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| Event Date: | June 25, 2020 - June 25, 2020 |
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| Submission Deadline: | March 30, 2020 |
| Notification of Acceptance: | April 27, 2020 |
| Camera Ready Version Due: | June 01, 2020 |
About |
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The combination of computational fluid dynamics (CFD) with machine learning (ML) is a newly emerging research direction with the potential to enable solving so far unsolved problems in many application domains. Machine learning is already applied to a number of problems in CFD, such as identification and extraction of hidden features in large-scale flow computations, finding undetected correlations between dynamical features of the flow, and generating synthetic CFD datasets through high-fidelity simulations. These approaches are forming a paradigm shift to change the focus of CFD from time-consuming feature detection to in-depth examinations of such features, and enabling deeper insight into the physics involved in complex natural processes. Apart from pure fluid dynamics, the community is embracing ML in a number of areas, such as constitutive modeling of heterogeneous materials, multiphase flow modeling, dynamics of the atmospheric, ocean, and climate system, and combustion/chemical reactions. The workshop will stimulate this research by providing a venue to exchange new ideas and discuss challenges and opportunities as well as expose this newly emerging field to a broader research community. We aim to bring together researchers and industrial practitioners working on any aspects of applying ML to the CFD and related domains in order to provide a venue for discussion, knowledge transfer, and collaboration among the research community. |
Call for Papers |
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We are soliciting papers on all aspects of CFD where ML plays a significant role or enables the solution of complex problems in CFD and related fields. Topics of interest include, but are not limited to: physics-based modeling with the main focus on fluid physics, such as reduced modeling for dimensionality reduction and the Reynolds-averaged Navier-Stokes (RANS) turbulence modeling; shape and topology optimization in solids; prediction of aeroacoustics; uncertainty quantification and reliability analysis; reinforcement learning for the design of active/passive flow control, and any ML approach that enables or enhances any of the above techniques. The workshop will consist of 20-minute talks and will conclude with a panel session, where experts working in the field will discuss the most pressing challenges and attempt to identify the most promising directions to continue developing in the near future. Accepted papers will be published in a Springer LNCS proceedings volume that will accompany the ISC proceedings volume. |
Summary |
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ISC CFDML 2020 : FIRST INTERNATIONAL WORKSHOP ON THE APPLICATION OF MACHINE LEARNING TECHNIQUES TO COMPUTATIONAL FLUID DYNAMICS SIMULATIONS AND ANALYSIS will take place in Frankfurt, Germany. It’s a 1 day event starting on Jun 25, 2020 (Thursday) and will be winded up on Jun 25, 2020 (Thursday). ISC CFDML 2020 falls under the following areas: MACHINE LEARNING, HIGH PERFORMANCE COMPUTING, SCIENTIFIC COMPUTING, COMPUTATIONAL FLUID DYNAMIC, etc. Submissions for this Workshop can be made by Mar 30, 2020. Authors can expect the result of submission by Apr 27, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jun 01, 2020 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the ISC CFDML 2020
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Credits and Sources |
| [1] ISC CFDML 2020 : FIRST INTERNATIONAL WORKSHOP ON THE APPLICATION OF MACHINE LEARNING TECHNIQUES TO COMPUTATIONAL FLUID DYNAMICS SIMULATIONS AND ANALYSIS |
