Morning session at Elton Bowring Room, The Gillespie Centre
08:45 - 09:00
Professor Norman Fleck, University of Cambridge Opening statement
09:00 - 09:30
Professor Christos E Athanasiou, Georgia Institute of Technology Easy-to-use ML-derived Solutions to Complex Fracture Problems
09:30 - 10:00
Professor Matthew Juniper, University of Cambridge The Elephant in the Room: Machine Learning directly into physics-based models
10:00 - 10:30
Professor Kaushik Bhattacharya, Caltech Learning from experiments
10:30 - 11:00
Coffee Break
11:00 - 11:30
Professor Assad Oberai, University of Southern California Probabilistic Inference of Mechanical Properties Using Conditional Diffusion Models
11:30 - 12:00
Professor Phaedon-Stelios Koutsourelakis, Technical University of Munich Probabilistic generative models for inverse materials' design
12:00 - 12:30
Professor 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 - 14:30
Professor Matti Schneider, University of Duisburg-Essen Concurrent multiscale simulations in solid mechanics with Deep Material Networks
14:30 - 15:00
Professor Burigede Liu, University of Cambridge Physics Pretrained Neural Operator: learning domain decomposition with applications to computational mechanics
15:00 - 15:30
Coffee Break
15:30 - 16:00
Professor Yue Yu, Lehigh University Nonlocal Attention Operator: Towards a Foundation Model for Material Responses
16:00 - 16:30
Professor Adrien Leygue, Centrale Nantes Towards Data-Driven Mechanics of Materials
17:00 - 17:30
Clare College Fellow's library tour Beyond Newton exhibition Group A
18:30 - 21:30
Dinner at Small Hall, Clare College Old Court
Day 2: April 1st
Time
Event
08:00 - 09:00
Breakfast at Gardon room, The Gillespie Centre
Morning session at Elton Bowring Room, The Gillespie Centre
09:00 - 09:30
Professor Carola Schönlieb, University of Cambridge Some topics in structure preserving deep learning
09:30 - 10:00
Professor Dennis Kochmann, ETH Zurich Data-driven inverse design of architected materials
10:00 - 10:30
Professor Miguel Bessa, Brown University Meta-neural Topology Optimization
10:30 - 11:00
Coffee Break
11:00 - 11:30
Professor Andrew Stuart, Caltech Learning Memory and Material Dependent Constitutive Laws
11:30 - 12:00
Professor Nichola B. Kovachki, NVIDIA Derivative-Informed Training with Applications to PDE-Constrained Optimization
12:00 - 12:30
Professor Kerstin Weinberg, University of Siegen Data-driven finite element computations employing RVEs
12:30 - 14:00
Lunch at Garden room, The Gillespie Centre
Afternoon session at Elton Bowring Room, The Gillespie Centre
14:00 - 14:30
Professor Stefano Carignano, Barcelona Supercomputing Center Computational physics in the era of quantum computing
14:30 - 15:00
Professor Fehmi Cirak, University of Cambridge Quantum Computational Homogenisation
15:00 - 15:30
Coffee Break
15:30 - 16:00
Professor Sid Kumar, Delft University of Technology Interpretable deep learning reveals key predictors of thermal conductivity in covalent organic frameworks
16:00 - 16:30
Professor Konstantinos Karapiperis, EPFL Nonlinear two-scale beam simulations accelerated by thermodynamics-informed neural networks
17:00 - 17:30
Clare 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
Time
Event
08:00 - 09:00
Breakfast at Garden room, The Gillespie Centre
Morning session at Elton Bowring Room, The Gillespie Centre
09:00 - 09:30
Professor 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 - 10:30
Coffee 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
