Introduction to Uncertainty Quantification in Mechanics of Materials

Workshop theme

This summer school will provide a thorough introduction to the material standing at the core of the USM programme. Lectures will cover state-of-the-art techniques and methodologies for stochastic modeling, uncertainty propagation and inverse problems, as well as emerging methods for adaptivity and probabilistic learning. A broad array of applications will be presented, ranging from UQ-informed materials design to the stochastic modeling of complex, multiscale physical systems.

The workshop is suited in particular for PhD students, postdocs and academic researchers from computational engineering, materials science, mathematics, and statistics.

Applications for this workshop are now closed

Fees

Registration Only

Registration Package: £ 218
Student Registration Package: £ 168

The Registration Package includes admission to all seminars, lunches and refreshments on the days that lectures take place (Monday - Friday), wine reception and formal dinner, but does not include other meals or accommodation.

Formal Dinner Only

Formal Dinner: £ 60

Participants on the Accommodation Package or Registration Package, including organisers and speakers, are automatically included in this event. For all remaining participants who would like to attend, such as programme participants, the above charge will apply.

Accommodation

Unfortunately we do not have any accommodation to offer so all successful applicants will need to source their own accommodation.

Please see the Hotels Combined website for a list of local hotels and guesthouses.

Meals

Lunch

Lunch timings and location will be confirmed with timetable.

Evening Meal

Participants are free to make their own arrangements for dinner.

Formal Dinner

The Formal Dinner location and date is to be confirmed. Participants on the Accommodation Package or Registration Package, including organisers and speakers, are automatically included in this event.

Timetable

Monday 10th July 2023
10:00 to 11:00	Johann Guilleminot Duke University Showcase Applications	Room 1
11:15 to 12:15	Christian Soize Université Gustave Eiffel Introduction to Stochastic Modeling and MCMC methods	Room 1
13:30 to 14:30	Roger Ghanem University of Southern California Polynomial Chaos Expansions - Basics	Room 1
14:30 to 15:30	Catherine Powell University of Manchester PDEs with Uncertain Inputs: Basics	Room 1
16:00 to 17:00	Christian Soize Université Gustave Eiffel Probabilistic and Statistical Tools 1	Room 1

Tuesday 11th July 2023
09:00 to 10:00	Catherine Powell University of Manchester Reduced Basis and Stochastic Collocation Methods	Room 1
10:00 to 11:00	Christian Soize Université Gustave Eiffel Probabilistic and Statistical Tools 2	Room 1
11:15 to 12:15	Roger Ghanem University of Southern California PCE - Adaptation	Room 1
13:30 to 14:30	Catherine Powell University of Manchester Stochastic Galerkin Approximation	Room 1
14:30 to 15:30	Duc-Lam Duong LUT University; University of Sussex Contributed talk: Stability estimates for the optimal experimental design in Bayesian inverse problems	Room 1
16:00 to 17:00	Igor Podlubny Technical University of Kosice Contributed talk: Porous functions: a tool for modelling real materials with uncertainties	Room 1

Wednesday 12th July 2023
09:00 to 10:00	Christian Soize Université Gustave Eiffel Random Fields: Modeling and Identification	Room 1
10:00 to 11:00	Catherine Powell University of Manchester Adaptive Stochastic Galerkin Approximation	Room 1
11:15 to 12:15	Roger Ghanem University of Southern California PCE - Data Assimilation	Room 1
13:30 to 17:00	Free Afternoon	Room 1

Thursday 13th July 2023
10:00 to 11:00	Roger Ghanem University of Southern California PCE - Model Error	Room 1
11:15 to 12:15	Andrew Stuart CALTECH (California Institute of Technology) Learning Operators From Data; Applications to Inverse Problems and Constitutive Modeling - Bayesian Inversion and Surrogate Modeling	Room 1
13:30 to 14:30	Andrew Stuart CALTECH (California Institute of Technology) Learning Operators From Data; Applications to Inverse Problems and Constitutive Modeling - Supervised Learning Between Spaces Of Functions	Room 1
14:30 to 15:30	Wei Chen Northwestern University Data-Driven Adaptive Discovery and Design of Multiscale Material Systems under Uncertainty	Room 1
16:00 to 17:00	Lori Graham-Brady Johns Hopkins University Data-Driven UQ-Enhanced Approaches for Materials Design	Room 1

Friday 14th July 2023
09:00 to 10:00	Christian Soize Université Gustave Eiffel Probabilistic Learning on Manifolds (with Applications)	Room 1
10:00 to 11:00	Angela Mihai Cardiff University Instabilities in Liquid Crystal Elastomers	Room 1
11:15 to 12:15	Andrew Stuart CALTECH (California Institute of Technology) Learning Operators From Data; Applications to Inverse Problems and Constitutive Modeling - Learning Constitutive Models -- History Dependence	Room 1
13:30 to 14:30	Andrew Stuart CALTECH (California Institute of Technology) Learning Operators From Data; Applications to Inverse Problems and Constitutive Modeling - Learning Constitutive Models -- Homogenization	Room 1
14:30 to 15:30	Roundtable Discussion	Room 1

Uncertainty quantification and stochastic modelling of materials

Introduction to Uncertainty Quantification in Mechanics of Materials

Organisers

Johann Guilleminot Duke University

Speakers

Wei Chen Northwestern University
Duc-Lam Duong LUT University; University of Sussex
Roger Ghanem University of Southern California
Lori Graham-Brady Johns Hopkins University
Johann Guilleminot Duke University
Angela Mihai Cardiff University
Igor Podlubny Technical University of Kosice
Catherine Powell University of Manchester
Christian Soize Université Gustave Eiffel
Andrew Stuart CALTECH (California Institute of Technology)

Participants

David Abrahams University of Cambridge
Masoud Ahmadi University of Glasgow
Rory Atlasi-Barker University of Manchester
Ruobing Bai Northeastern University
Martine Ben Amar CNRS - Ecole Normale Superieure Paris; Université Pierre et Marie Curie Paris
Maciej Buze Heriot-Watt University
Wei Chen Northwestern University
Isaac Chenchiah University of Bristol
Fehmi Cirak University of Cambridge
Conor Crilly University of Bristol
Duc-Lam Duong LUT University; University of Sussex
Reda Elkhadrawy University of Tampere
Jessica Farmer Science and Technology Facilities Council (STFC)
Roger Ghanem University of Southern California
Alain Goriely University of Oxford
Lori Graham-Brady Johns Hopkins University
Johann Guilleminot Duke University
Anastasia Istratuca University of Edinburgh
Andrey Latyshev Université du Luxembourg; Sorbonne Université
Jianfeng Lu Duke University
Dmitry Lyakhov King Abdullah University of Science and Technology (KAUST)
Angela Mihai Cardiff University
Conor Osborne University of Edinburgh
Martin Ostoja-Starzewski University of Illinois at Urbana-Champaign
Igor Podlubny Technical University of Kosice
Catherine Powell University of Manchester
Mihaela Pricop-Jeckstadt University Politehnica of Bucharest
Mariya Ptashnyk Heriot-Watt University
Matthew Reynolds University of Leeds
Giusi Ruggiero Université de Lorraine
Carola-Bibiane Schönlieb University of Cambridge; Cambridge Mathematics of Information in Healthcare
Davood Shahsavari University of Glasgow
Tom Shearer University of Manchester
Shayandev Sinha None / Other
Christian Soize Université Gustave Eiffel
Andrew Stuart CALTECH (California Institute of Technology)
Eugene Terentjev University of Cambridge
Jiefei Yang University of Hong Kong
Ruda Zhang University of Houston

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