Day 1 - Physics from STEM data - Kalinin

Day 1 - Physics from STEM data - Kalinin

🎙 Sergei Kalinin 👥 1K 📅 July 18, 2026 ⏱ 62 min 👁 35 📄 tutorial 🧭 2026-08-16
Available in: English (current) Français

Keywords

STEMatomic resolutionpolarization mappingoctahedral tiltschemical strain

Summary

This tutorial, part of a series on machine learning in the nanoworld, introduces the use of scanning transmission electron microscopy (STEM) to extract quantitative physical and chemical information from materials at the atomic scale. The speaker, Sergei Kalinin, explains that modern STEM can determine atomic column positions with picometer precision, enabling the direct measurement of bond lengths, bond angles, and lattice parameters. These measurements can be used to infer chemical bonding, magnetic properties, and even oxygen stoichiometry through the concept of chemical strain. The lecture emphasizes the importance of careful data acquisition and calibration to avoid artifacts, and discusses the transition from raw observations to physical models. Key examples include mapping polarization fields in ferroelectrics, visualizing octahedral tilts, and observing polarization vortices and morphotropic phase boundaries. The speaker also highlights the challenges of dealing with unknown variables and the need for machine learning to interpret complex data. Overall, the talk demonstrates how STEM can provide atomic-level insights into material properties that are inaccessible by traditional scattering methods.

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Critical Evaluation

Value of the Information & Strength of the Argument

The value of the information is high, as it provides a comprehensive overview of how STEM data can be used to extract physical order parameters such as polarization and octahedral tilts. The speaker presents concrete examples, including polarization mapping in ferroelectrics and the observation of polarization vortices, which illustrate the power of the technique. The argumentation is solid, with logical progression from data acquisition to interpretation, and the speaker acknowledges limitations, such as the difficulty in measuring out-of-plane components and the presence of unknown variables. The discussion of chemical strain and its link to oxygen stoichiometry is particularly insightful, offering a practical method for quantifying defects. The speaker also addresses the importance of understanding image formation physics to avoid misinterpretation, which adds to the credibility of the content.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is generally high, with the speaker referencing established concepts like Goodenough-Kanamori rules and morphotropic phase boundaries. However, specific sources are not cited within the talk, and the description only provides a brief overview. The title accurately reflects the content, which is a tutorial on extracting physics from STEM data. The speaker’s expertise is evident, and the content aligns with current research trends. The lack of explicit citations is a minor weakness, but the overall presentation is scientifically sound.

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Title / Content Match

The title accurately reflects the content, which is a lecture on extracting physical information from scanning transmission electron microscopy data.

Quality & Reliability

8/10

The content is presented by an expert in the field, with a clear pedagogical structure and references to established scientific concepts. The arguments are logically consistent, and the speaker acknowledges limitations and uncertainties. However, the lack of explicit citations and the informal style slightly reduce the score.

Key Moments

Contribution & Novelties

The talk provides a clear and accessible introduction to the emerging field of quantitative STEM analysis, highlighting its potential to reveal atomic-scale physics that is inaccessible by traditional scattering methods. The speaker’s emphasis on the importance of data calibration and the need for physical models to interpret observations is particularly valuable. The examples of polarization mapping and chemical strain measurement illustrate the practical applications of the technique.

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Radar Profile

The radar profile shows high scores across all dimensions, indicating a well-rounded and informative presentation. The slightly lower score in 'fiabilite_globale' reflects the lack of explicit citations, but the overall quality is strong.

Reliability 8/10