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reduced order modeling

breit's picture

Ph.D. position available in France/Belgium: Optimization methods supported by multi-fidelity full-field meta-models and enrichment strategies dedicated to turbine engine design

Safran Aircraft Engines is a world-class engine manufacturer in the aerospace propulsion market - civil and military - and space. At CFM International, Safran Aircraft Engines develops and produces the CFM56 "bestseller", the most reliable engine of its generation in the single-aisle aircraft category. LEAP, its successor, was designed to equip new generations of single-aisle aircraft.

mbessa's picture

MS1801 @ WCCM2018 -> Data-driven Methods and Applications: from Physics-informed Learning Machines to Optimization Under Uncertainty

Dear colleagues,

We encourage you to submit your abstracts to minisymposium 1801 of the 13th World Congress on Computational Mechanics (New York City, from July 22 to 27 of 2018). This minisymposium focuses on:

1. recently developed methods for data-driven approaches;

2. data-driven applications to fluids, structures and materials involving (but not limited to) machine learning, uncertainty quantification and/or optimization.

karelmatous's picture

A nonlinear manifold-based reduced order model

A new perspective on model reduction for nonlinear multi-scale analysis of heterogeneous materials. In this work, we seek meaningful low-dimensional structures hidden in high-dimensional multi-scale data.

breit's picture

WCCM 2012: Minisymposium on Multidisciplinary Design Optimization in Computational Mechanics

Call for Abstracts (Deadline: November 30, 2011)

As a part of WCCM 2012 (10th World Congress on Computational Mechanics)

Submit Your Abstract (Choose mini-symposium MS-073)

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