i2ns

Session

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

Oct 18, 2021, 2:00 PM

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

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

10/18/21, 2:50 PM

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

10/18/21, 3:40 PM

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...