Machine Learning and AI in Nuclear Physics UK

Contribution List

1. Welcome and Introduction

Dr Marc Herve Rene Labiche (STFC Daresbury Laboratory (GB))

27/03/2024, 13:00

2. ML/AI implementations at CLAS12

Dr Bryan McKinnon (University of Glasgow)

27/03/2024, 13:05

3. AI/ML and Nuclear Applications: Overview of Surrey projects

Dr Caroline Shenton-Taylor (University of Surrey)

27/03/2024, 13:20

4. Machine Learning and Pulse Shape Analysis for Nuclear Instrumentation

Dr Fraser Holloway

27/03/2024, 13:45

5. Machine learning for improvements to nuclear fusion diagnostics

Kimberley Lennon (Sheffield Hallam University)

27/03/2024, 14:00

6. Enhancing phenomenological optical model optimisation with a feed-forward neural network

Samuel Sullivan (University of Surrey)

27/03/2024, 14:15

7. Use of ML for unfolding jet properties

Nicodemos Andreou (University of Derby (GB))

27/03/2024, 14:45

8. ML in ALICE and cross-experiment initiatives at CERN

Lee Barnby (University of Derby (GB))

27/03/2024, 15:00

9. Discussion

27/03/2024, 15:15