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The Alan Turing Institute

Physics-informed machine learning meets engineering seminar series

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36 items
Last updated on Mar 16, 2024
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Stefano Castruccio - Calibration of Spatial Forecasts from Citizen Science Urban Air Pollution Data
55:34
Shamsulhaq Basir - PECANNs: Physics and Equality Constrained Artificial Neural Networks
58:14
Subramanian Ramamoorthy - Online and hybrid system identification directly from raw sensory signals
52:57
Rudy Geelen - Learning physics-based reduced-order models from data using quadratic manifolds
55:15
Ricardo Vinuesa  - Modelling and controlling turbulent flows through deep learning
51:56
Qiaofeng Li - Promoting data-efficiency of deep learning for dynamical systems
55:41
Paul Wilcox - Applying Machine Learning to Automate Interpretation of Ultrasonic Non-Destructive...
54:32
Oliver Weeger - Multiphysics material modelling and multiscale simulation with physics-enhanced...
1:10:17
Mohannad Elhamod - CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions
52:19
Matteo Saveriano - Geometry Aware Imitation Learning in Robotics
53:38
Luca Magri - Physics-constrained reservoir-computing for turbulence and chaotic learning
55:52
Lorenzo Branca - Emulating InterStellar Medium chemistry with Physics Informed neural Networks
46:19
Jordi Bolibar - Universal Differential Equations for glacier ice flow modelling using ODINN.jl
38:05
Jinlong Wu - Data-Driven Closure Modeling Using Derivative-free Kalman Methods
50:51
Jie Bu - Unique Challenges in Physics-informed Machine Learning
55:00
Jianxun Wang - Leveraging physics-induced bias in scientific machine learning for computational...
1:07:41
Jan Povala - Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices
1:04:26
Guy Schumann, Ben Gaffinet - FloodSENS – Smart Sensing of Floods
53:21
Gabriel Weymouth - Fluid-Mechanics-informed Machine Learning (successes and failures)
1:07:56
Fehmi Cirak - Statistical finite element method for digital twinning of self-sensing structures
58:22
Cristian Axenie - Combining Mechanistic Modelling, Nonlinear Control, and Neuronal Learning...
47:18
Cristian Axenie - Fusing Biophysics and Machine Learning for Computational Oncology
48:53
Burigede Liu - Learning-based multiscale modelling: computing, data science...
1:04:05
Arka Daw - Uncertainty Quantification with Physics-informed Machine Learning
1:02:44
Alice Cicirello - Physics-enhancing machine learning strategies in applied solid mechanics...
1:01:33
Jonathan Smith - HypoSVI: Earthquake hypocentre inversion with Stein variational inference...
49:55
Maldon Goodridge - A rare event study of frequency regulation and contingency services...
1:00:32
Arnaud Vadeboncoeur - On Random Grid Neural Processes for Solving Forward and Inverse Problems
46:44
Morten Mattrup Smedskjær - Cracking the Code
54:25
Chris Rackauckas - Generalizing Scientific Machine Learning and Differentiable Simulation
1:07:28
Cristian Axenie - Physics-informed Machine Learning for Robust Pedestrian Detection
44:17
Nathan Kutz - The Dynamic Mode Decomposition - A Data-Driven Algorithm
1:28:45
Jan Olle - Discovering Quantum Error Correcting Codes with Reinforcement Learning
1:01:57
Hongbo Zhao - Learning Battery Physics from Images
51:35
Karan Taneja - Feature Encoded and Multi-Resolution Physics-Informed Machine Learning Approaches...
46:33
Ameya Jagtap   Enhancing Scientific Computing Through Physics informed Neural Networks
1:09:33