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Published on: May 10, 2021
Unraveling Materials Synthesis Mechanisms Using In Situ Transmission Electron Microscopy and Neutron Scattering
Jacob Smith1, Hwangsun Kim1, Ke An2
1Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
In situ transmission electron microscopy (TEM) and neutron scattering (NS) provide atomic to bulk insights into materials synthesis. Combining these techniques with AI accelerates the development of advanced materials for energy and manufacturing.
Area of Science:
- Materials Science
- Nanotechnology
- Chemical Engineering
Background:
- Precise control over materials synthesis is crucial for manufacturing innovation.
- In situ microscopy and scattering techniques offer powerful tools for understanding synthesis processes.
- Advancements in instrumentation are enhancing the capabilities of these characterization methods.
Purpose of the Study:
- To review the roles of in situ transmission electron microscopy (TEM) and neutron scattering (NS) in materials synthesis.
- To highlight recent hardware advancements and their impact on in situ experiments.
- To propose a multiscale approach integrating AI for accelerated, predictive materials synthesis.
Main Methods:
- In situ transmission electron microscopy (TEM) for atomic-scale observations.
- Neutron scattering (NS), including in situ neutron diffraction and imaging, for bulk-scale analysis.
- Integration of artificial intelligence (AI) and automated workflows for high-throughput synthesis.
Main Results:
- In situ TEM provides atomic-scale insights into nucleation, growth, and phase transitions.
- NS elucidates reaction pathways, phase evolution, and structural transformations at broader length scales.
- Combined techniques offer a multiscale perspective on synthesis and processing.
Conclusions:
- Multiscale characterization using in situ TEM and NS is essential for understanding complex synthesis.
- Integrating AI and multimodal analysis promises to accelerate the discovery of novel materials.
- This approach has broad applications in energy storage, quantum materials, and advanced manufacturing.
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