USM
10 July 2023 to 1 September 2023
A central challenge in predicting the deformation or damage to soft manufactured and natural materials (e.g. plants, brain tissue or 3D printing composites) is that commonly used mathematical modelling approaches do not account for the range in experimental data. These deterministic models may therefore misrepresent the location and extent of the deformation or damage. Stochastic methods provide a way to account for the uncertainties and can significantly improve predictions. However, the application of stochastic modelling to material deformation remains largely unexplored. A key aim of this programme is to bring together international experts and young researchers interested in methodological advances and applications of uncertainty quantification to the stochastic modelling of materials.
This research programme is set at the interface between fundamental and applied continuum mechanics, statistics and probabilities. The focus will be on stochastic methods in material modelling, covering primarily probabilistic techniques, identification methodologies and validation strategies for finite- and infinite-dimensional non-Gaussian representations, and on cross-disciplinary discussions and research. One of the key aspects of the programme will be the application of these techniques to multiple scientific disciplines in mechanics, biomedical engineering, soft matter and computer science.
Events include a week-long summer school where experts in uncertainty quantification and stochastic modelling, biomechanics, and active materials will introduce their fields at a basic level. This will serve as a starting point for cross-disciplinary discussions and research for the remaining weeks. It is hoped that this programme will establish a scientific community at the interface between probability/stochastic methods and soft matter and support rapid advancements in this emerging field over the next decade.
> Click here to download a promotional poster detailing the USM programme (PDF)
10 July 2023 to 14 July 2023
31 July 2023 to 4 August 2023
Tuesday 18th July 2023 | |||
---|---|---|---|
14:00 to 15:00 |
Isaac Chenchiah University of Bristol |
Room 2 | |
15:00 to 16:00 |
Mihaela Pricop-Jeckstadt University Politehnica of Bucharest |
Room 2 | |
Wednesday 19th July 2023 | |||
---|---|---|---|
16:00 to 17:00 |
Martin Ostoja-Starzewski University of Illinois at Urbana-Champaign |
Room 1 | |
Tuesday 25th July 2023 | |||
---|---|---|---|
14:00 to 15:00 |
Helen Gleeson University of Leeds |
Room 2 | |
15:00 to 16:00 |
Martin Ostoja-Starzewski University of Illinois at Urbana-Champaign |
Room 2 |
Wednesday 26th July 2023 | |||
---|---|---|---|
14:00 to 15:00 |
Maciej Buze Heriot-Watt University |
Room 2 | |
15:00 to 16:00 |
Antonio DeSimone SISSA; Scuola Superiore Sant'Anna, Pisa |
Room 2 | |
Wednesday 9th August 2023 | |||
---|---|---|---|
14:30 to 15:30 | Room 1 | ||
16:00 to 17:00 |
Apala Majumdar University of Strathclyde |
Room 1 | |
Tuesday 22nd August 2023 | |||
---|---|---|---|
14:00 to 15:00 |
Ajay B Harish University of Manchester |
Room 2 | |
15:00 to 16:00 |
Nikolai Leonenko Cardiff University |
Room 2 |
Wednesday 23rd August 2023 | |||
---|---|---|---|
14:00 to 15:00 |
Silvia Paparini Università degli Studi di Pavia |
Room 2 | |
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