![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
University of Cambridge > Talks.cam > Department of Materials Science & Metallurgy Goldsmiths' Seminars > Department of Materials Science & Metallurgy Goldsmiths' Seminars: AI, microscopes, and the quest for better materials
![]() Department of Materials Science & Metallurgy Goldsmiths' Seminars: AI, microscopes, and the quest for better materialsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Caroline Teagle. This talk will be delivered via Zoom, but we will convene in Goldsmiths’ Lecture Theatre 2 where tea and cake will be provided, so please join us there! In this presentation, I will illustrate how ML-driven electron and scanning probe microscopies can be leveraged to uncover structure-property relationships in complex materials, extract fundamental physical laws governing ferroelectric polarization dynamics and property evolution across combinatorial libraries, and even manipulate matter on the nanometer and atomic level. Central to this approach is the concept of probabilistic reward functions, which enable autonomous research workflows while integrating human-in-the-loop decision-making. I will demonstrate how reward-based automated characterization can be used to close the materials discovery loop, orchestrate diverse characterization tools across shared chemical spaces, and co-navigate costly experiments and epistemic uncertainty-aware theoretical models. The special case here is operationalized materials and physics discovery in combinatorial libraries, where ML-enabled scanning probe microscope autonomously performs topography and spectroscopy tuning and combinatorial space exploration. I further discuss strategies to extend these strategies towards electron microscopy bypassing the sample preparation bottleneck. Looking ahead, this work lays the foundation for the automated lab of the future, where human intuition and AI-driven autonomy work in synergy to drive materials discovery at an unprecedented scale. This talk is part of the Department of Materials Science & Metallurgy Goldsmiths' Seminars series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsTop 10 Qualities Of An Ideal Employee Rede Lectures Cambridge Network IT & Infrastructure SIGOther talksChalk talk Title TBC Global modelling of ice-nucleating particles and their impact on cirrus clouds and the climate system DME: Medicine for the Elderly & Paediatrics LMB Seminar - Title TBC Save the date. Details of this seminar will follow shortly. |