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Meeting MS&T25: Materials Science & Technology
Symposium Autonomous Platforms for Designing and Understanding Materials
Presentation Title Towards Autonomous Imaging and Analysis of Magnetic Domains
Author(s) Charudatta Phatak, Hanu Arava, Emine Begum Gulsoy
On-Site Speaker (Planned) Charudatta Phatak
Abstract Scope Direct real-space imaging of magnetic domain wall behavior in patterned thin films under external stimuli can enable understanding the underlying energy landscape governing their behavior as well as the role of local microstructure and defects. Often times the data analysis and control of experiments is done after the data is collected. In this work, we will present an automated workflow for in-situ Lorentz transmission electron microscopy to image magnetic domain walls and domain textures at nanometer scale spatial resolution. Using our workflow, we were able to image the domain wall motion with sub-millisecond time resolution giving insight into transformation of transverse magnetic domain walls under applied magnetic fields. We will present and discuss extension of these methods to other in-situ experiments including application of electric currents, and variation of temperature, as well as incorporation of machine-learning models for real-time magnetic domain analysis.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Digital laboratory with modular measurement system and standardized data format
Ferroics Reimagined with Causal Machine Learning
From deposition to degradation of thin films and devices through autonomous experimentation
Knowledge Graphs for Chemical Synthesis: Using Historical Data for Querying and Semantic Reasoning
Materials discovery using deep microscopic optics
Operating autonomous laboratories with AI agents
Robust reflection set matching for online phase identification from X-ray diffraction data
Self Driving Labs and and Digital Twins
Sparse Sampling and Inpainting for High-Throughput Scanning Transmission Electron Microscopy
Towards Autonomous Imaging and Analysis of Magnetic Domains

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