SRI 'Model Reduction for Industrial Applications'

SRI 'Model Reduction for Industrial Applications'

Abstract/description

The physical processes of interest to contemporary science and engineering are growing ever more complex. As a result, their governing equations are becoming high-dimensional or even partially unknown. For the efficient analysis, prediction, design, uncertainty quantification and control of these processes, reduced-order models capturing the core of the underlying physical phenomena are a must. This SRI aims to strengthen collaborative research and training on model reduction among the 4TUs, other Dutch universities and potential industry partners.

This SRI started on 01-06-2024 and aims to reach its goals before 01-06-2026.

Goals

1. Model reduction community: This SRI aims to develop a community of model reduction researchers and practitioners in the Netherlands with international visibility.
2. Education and training: Another important goal of this SRI is to transition the latest model reduction research into education and practice. This goal will be achieved by training the graduate students and researchers at Dutch universities with state-of-the-art model reduction tools.
3. Industrial research opportunities: Model reduction methods are often application specific and diverse industrial applications motivate new theoretical and computational developments. To stimulate further research for specific industrial applications of model reduction, this SRI aims to strengthen collaborations between 4TU researchers and industry partners.

To achieve these objectives, this SRI will organize research exchange seminars at participating institutions, minisymposia in international conferences, workshop and/or summer/winterschools on model reduction over two years starting June 2024.

Contact persons

• Silke Glas (University of Twente)
• Shobhit Jain (Delft University of Technology)

Participants

• Xiaodong Cheng (Wageningen University and Research)
• Glas Glas (University of Twente)
• Alexander Heinlein (Delft University of Technology)
• Shobhit Jain (Delft University of Technology)
• Cecilia Pagliantini (Eindhoven University of Technology)
• Stephan Trenn (University of Groningen)