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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.
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INI is a creative collaborative space which is occupied by up to fifty-five mathematical scientists at any one time (and many more when there is a workshop). Some of them may not have met before and others may not realise the relevance of other research to their own work.
INI is especially important as a forum where early-career researchers meet senior colleagues and form networks that last a lifetime.
Here you can learn about all activities past, present and future, watch live seminars and submit your own proposals for research programmes.
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The Isaac Newton Institute aims to maximise the benefit of its scientific programmes to the UK mathematical science community in a variety of ways.
Whether spreading research opportunities through its network of correspondents, offering summer schools to early career researchers, or hosting public-facing lectures through events such as the Cambridge Festival, there is always a great deal of activity to catch up on.
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“A world famous place for research in the mathematical sciences with a reputation for efficient management and a warm welcome for visitors”
The Isaac Newton Institute is a national and international visitor research institute. It runs research programmes on selected themes in mathematics and the mathematical sciences with applications over a wide range of science and technology. It attracts leading mathematical scientists from the UK and overseas to interact in research over an extended period.
INI has a vital national role, building on many strengths that already exist in UK universities, aiming to generate a new vitality through stimulating and nurturing research throughout the country.During each scientific programme new collaborations are made and ideas and expertise are exchanged and catalysed through lectures, seminars and informal interaction, which the INI building has been designed specifically to encourage.
For INI’s knowledge exchange arm, please see the Newton Gateway to Mathematics.
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Our administrative staff can help you with any queries regarding a prospective or planned visit. If you would like to discuss a proposed a research programme or other event, our senior management team will be happy to help.