Electron Microscopy Approaches to Unraveling the Structure of Amorphous Materials

Determining atomic structures in crystalline materials-where atoms are arranged in rigid, periodic lattices-has been highly successful using probes such as electrons, X-rays, and neutrons. In contrast, amorphous materials, despite their ubiquity and technological importance, remain far more challenging to characterize with comparable accuracy and precision. This review highlights existing, emerging, and potential (scanning) transmission electron microscopy ((S)TEM) techniques for probing short- and medium-range order in amorphous materials. Approaches ranging from high-resolution (S)TEM imaging and selected electron diffraction pattern to four-dimensional STEM (4D-STEM) based pair distribution function, fluctuation electron microscopy, tomography, ptychography, and spectroscopic methods are discussed, emphasizing their ability to provide complementary insights across multiple length scales-from sub-angstrom local environments to nanometer-scale correlations. We further explore the promise of multimodal and correlative strategies, as well as the growing role of machine learning and physics-informed AI in enabling real-time, quantitative interpretation of complex structural signatures. Together, these advances point toward a future where electron microscopy not only reveals the hidden order in amorphous systems but also establishes robust structure-property relationships, paving the way for materials innovation in disordered matter.

Authors

Institutions

Publication Details

Journal
Small Methods
Published
2025-12-26
DOI
https://doi.org/10.1002/smtd.202501852
Primary Topic
Advanced Electron Microscopy Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electron Microscopy Approaches to Unraveling the Structure of Amorphous Materials

Hyeongjun Koh, Sooyeon Hwang, Judith C. Yang
Small Methods
Advanced Electron Microscopy Techniques and Applications
article

Electron Microscopy Approaches to Unraveling the Structure of Amorphous Materials

Hyeongjun Koh, Sooyeon Hwang, Judith C. Yang
article en

Abstract

Determining atomic structures in crystalline materials-where atoms are arranged in rigid, periodic lattices-has been highly successful using probes such as electrons, X-rays, and neutrons. In contrast, amorphous materials, despite their ubiquity and technological importance, remain far more challenging to characterize with comparable accuracy and precision. This review highlights existing, emerging, and potential (scanning) transmission electron microscopy ((S)TEM) techniques for probing short- and medium-range order in amorphous materials. Approaches ranging from high-resolution (S)TEM imaging and selected electron diffraction pattern to four-dimensional STEM (4D-STEM) based pair distribution function, fluctuation electron microscopy, tomography, ptychography, and spectroscopic methods are discussed, emphasizing their ability to provide complementary insights across multiple length scales-from sub-angstrom local environments to nanometer-scale correlations. We further explore the promise of multimodal and correlative strategies, as well as the growing role of machine learning and physics-informed AI in enabling real-time, quantitative interpretation of complex structural signatures. Together, these advances point toward a future where electron microscopy not only reveals the hidden order in amorphous systems but also establishes robust structure-property relationships, paving the way for materials innovation in disordered matter.

Small MethodsVol. 10(3)
Brookhaven National Laboratory (US)
U.S. Department of Energy, Office of Science, Brookhaven National Laboratory
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Advanced Electron Microscopy Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.