i2ns

Session

New algorithms and Machine learning: relevance to inelastic neutron scattering (Chair: Toby Perring)

18 Oct 2021, 14:00

36. AI Tools that Auto-generate Materials Databases for Building Data-science Platforms

Jacqueline Cole (University of Cambridge and ISIS Neutron and Muon Facility)

18/10/2021, 14:50

This presentation will introduce and exemplify the artificial intelligence tools that my group have been developing with ISIS. These use data-mining and machine-learning methods to build data-science platforms that aid materials characterisation and materials application methods. These include the incorporation of neutron scattering data. I will also show some examples of how these...

9. Domain-Aware Gaussian Processes and High-Performance Mathematical Optimization for Optimal and Autonomous Data Acquisition

Marcus NOACK

18/10/2021, 15:40

Gaussian Processes and Gaussian-Process-Related stochastic processes have shown to be a powerful tool for autonomous control of data acquisition due to their robustness, analytical tractability, and natural inclusion of uncertainty quantification. In this talk, I want to present our work on a general, flexible, and powerful GP-driven framework for autonomous data acquisition. The focus will...