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IUTAM Symposium Agenda

IUTAM Symposium on Data Driven Mechanics - Agenda

Day 1: March 31st

TimeEvent
08:00 - 08:45

Registration and Welcome Coffee at Garden Room

The Gillespie Centre

 Morning session at Elton Bowring Room, The Gillespie Centre  
08:45 - 09:00Professor Norman Fleck, University of Cambridge
Opening statement  
09:00 - 09:30Professor Christos E Athanasiou, Georgia Institute of Technology
Easy-to-use ML-derived Solutions to Complex Fracture Problems  
09:30 - 10:00Professor Matthew Juniper, University of Cambridge
The Elephant in the Room: Machine Learning directly into physics-based models  
10:00 - 10:30Professor Kaushik Bhattacharya, Caltech
Learning from experiments  
10:30 - 11:00Coffee Break
11:00 - 11:30Professor Assad Oberai, University of Southern California
Probabilistic Inference of Mechanical Properties Using Conditional Diffusion Models  
11:30 - 12:00Professor Phaedon-Stelios Koutsourelakis, Technical University of Munich
Probabilistic generative models for inverse materials' design  
12:00 - 12:30Professor Vikram Deshpande, University of Cambridge
Opportunities and Limitations for Enhancing Measured Datasets for Mechanical Properties  
12:30 - 14:00

Lunch at Garden room, The Gillespie Centre

 Afternoon session at Elton Bowring Room, The Gillespie Centre  
14:00 - 14:30Professor Matti Schneider, University of Duisburg-Essen
Concurrent multiscale simulations in solid mechanics with Deep Material Networks  
14:30 - 15:00Professor Burigede Liu, University of Cambridge
Physics Pretrained Neural Operator: learning domain decomposition with applications to computational mechanics
15:00 - 15:30Coffee Break
15:30 - 16:00Professor Yue Yu, Lehigh University
Nonlocal Attention Operator: Towards a Foundation Model for Material Responses
16:00 - 16:30Professor Adrien Leygue, Centrale Nantes
Towards Data-Driven Mechanics of Materials  
17:00 - 17:30Clare College Fellow's library tour
Beyond Newton exhibition Group A  
18:30 - 21:30Dinner at Small Hall, Clare College Old Court  

Day 2: April 1st

TimeEvent
08:00 - 09:00

Breakfast at Gardon room, The Gillespie Centre

 Morning session at Elton Bowring Room, The Gillespie Centre  
09:00 - 09:30Professor Carola Schönlieb, University of Cambridge
Some topics in structure preserving deep learning 
09:30 - 10:00Professor Dennis Kochmann, ETH Zurich
Data-driven inverse design of architected materials 
10:00 - 10:30Professor Miguel Bessa, Brown University
Meta-neural Topology Optimization 
10:30 - 11:00Coffee Break
11:00 - 11:30Professor Andrew Stuart, Caltech
Learning Memory and Material Dependent Constitutive Laws  
11:30 - 12:00Professor Nichola B. Kovachki, NVIDIA
Derivative-Informed Training with Applications to PDE-Constrained Optimization
12:00 - 12:30Professor Kerstin Weinberg, University of Siegen
Data-driven finite element computations employing RVEs 
12:30 - 14:00Lunch at Garden room, The Gillespie Centre  
 Afternoon session at Elton Bowring Room, The Gillespie Centre  
14:00 - 14:30Professor Stefano Carignano, Barcelona Supercomputing Center
Computational physics in the era of quantum computing   
14:30 - 15:00Professor Fehmi Cirak, University of Cambridge
Quantum Computational Homogenisation 
15:00 - 15:30Coffee Break
15:30 - 16:00Professor Sid Kumar, Delft University of Technology
Interpretable deep learning reveals key predictors of thermal conductivity in covalent organic frameworks 
16:00 - 16:30Professor Konstantinos Karapiperis, EPFL
Nonlinear two-scale beam simulations accelerated by thermodynamics-informed neural networks 
17:00 - 17:30Clare College Fellow's library tour
Beyond Newton exhibition Group B  

18:30 - 21:30

Dinner at Small Hall, Clare College Old Court  

Day 3: April 2nd

TimeEvent
08:00 - 09:00

Breakfast at Garden room, The Gillespie Centre

 Morning session at Elton Bowring Room, The Gillespie Centre  
09:00 - 09:30Professor Laurent Stainier, Centrale Nantes
Data-Driven mechanics of softening materials 
09:30 - 10:00

Professor Pin Zhang, National University of Singapore

Thermodynamics-informed Data-Driven Constitutive Modelling of Geomaterials: Hyperelasticity and Hyperplasticity                  

10:00 - 10:30Coffee Break
10:30 - 11:00

Professor Mingchao Liu, University of Birmingham

Mechanics-Aided Machine Learning for the Design of Snap-Actuated Jumping Robots                  

11:00 - 11:30

Professor Vito Tagarielli, Imperial College London

Application of neural networks in homogenisation, constitutive modelling and FEM/CFD simulations                  

11:30 - 11:45

Professor Michael Ortiz

Closing statement

12:00 - 13:00Lunch at Garden room, The Gillespie Centre  
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