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The Institute of Physics Applied Mechanics group is excited to announce the third Physics-Enhancing Machine Learning workshop: mechanics & materials. We welcome your contributions on advanced techniques and industrial applications showcasing recent progress, strengths and limitations of approaches integrating physics knowledge (first principles, domain knowledge, physics constraints, …) with Machine Learning (ML) in applied mechanics and materials. Particular interest will be given to contributions focusing on strategies including (but not limited to) those leveraging on observational biases (e.g. data augmentation), inductive biases (e.g. physical constraints), learning biases (e.g. inference/learning algorithm setup), and model form/discrepancy biases (e.g. equation terms describing a partially known physics-based model).

Relevant topics include, but are not limited to, hybrid physics-data strategies (*not just physics models, nor just data-driven only techniques) in which the benefit of combining physics and machine learning is clearly emphasised (if in doubt, please check https://arxiv.org/abs/2405.05987) for

(i) overcoming poor generalisation performance and physically inconsistent or implausible predictions;

(ii) providing explainable and interpretable inferences;

(iii) identifying incorrect data and/or physics biases;

(iv) validating modelling and forecasting;

(iv) quantifying different sources of uncertainty.

Registration is free, but only 60 places for in person attendance are available – 30 of which are reserved to early career researchers. It will be possible to attend virtually without presenting. We are grateful for the support of our sponsors (DCE, Siemens and the IOP Materials and Characterisation Group) which has allowed us to provide sponsored places for in person attendance.

We are happy to announce that applications are open for the Early Career travel award! We sincerely hope this will help us further removing barriers preventing some early careers to attend such events.

Chair of the workshop: Alice Cicirello (University of Cambridge) and co-opted member of the IOP Applied Mechanics Group.

Key Dates

Abstract submission deadline: 12pm 15 November 2024
Registration deadline (in-person attendance): 15 November 2024
Travel Grant application deadline - 15 November 2024
Registration deadline (online attendance): 25 November 2024

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