Atomic Breakthrough: 3D Mapping Unlocks Mysteries of Relaxor Ferroelectrics

MIT researchers use multi-slice electron ptychography to directly characterize the 3D atomic structure of relaxors, improving predictive models for next-gen sensors and electronics

Written byMichelle Gaulin
| 2 min read
3D atomic charge mapping visualization
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For decades, relaxor ferroelectrics have been the silent workhorses of modern technology, essential to the function of ultrasound machines, sonar systems, and microphones. Despite their widespread use, the specific atomic structure responsible for their unique properties has remained a mystery—until now.

Researchers from the Massachusetts Institute of Technology (MIT), in collaboration with several other institutions, have successfully mapped the 3D atomic structure of a relaxor ferroelectric. The findings, recently published in Science, offer a rare look into the "chemical disorder" of these materials and provide a critical tool for engineers looking to design next-generation sensors, memory storage, and energy devices.

The challenge of disordered materials

Relaxor ferroelectrics are prized for their ability to undergo significant changes in polarization under an electric field, enabling them to convert electrical energy into mechanical strain (and vice versa) with high efficiency.

However, they are inherently "disordered" materials. Unlike simple crystals with repeating patterns, relaxors feature a complex hierarchy of chemical and polar structures. While computer simulations suggested that nanoregions of charged atoms were responsible for their performance, these details were impossible to measure directly—leaving researchers to rely on unverified models.

"The research community is still developing methods to engineer these materials, but in order to predict the properties those materials will have, you have to know if your model is right," says corresponding author James LeBeau, the Kyocera professor of materials science and engineering at MIT.

A new analytical approach: Multi-slice electron ptychography (MEP)

To bridge the gap between theory and reality, the team turned to an emerging measurement technique called multi-slice electron ptychography (MEP).

In a traditional electron microscope, researchers view a 2D projection of a sample. In contrast, MEP involves moving a nanoscale-sized probe of high-energy electrons across the material while measuring the resulting diffraction patterns. By analyzing overlapping regions of these patterns with specialized algorithms, the researchers can iteratively reconstruct the 3D electron wave function and the atomic object.

"This study is the first time in the electron microscope that we've been able to directly connect the three-dimensional polar structure of relaxor ferroelectrics with molecular dynamics calculations," explains co-first author Michael Xu, a postdoc at MIT.

Validating the "garbage in, garbage out" problem

The MEP technique revealed that many regions of differing polarization were significantly smaller than previously predicted. This discrepancy highlights a major hurdle in computational materials science: model validation.

By feeding this new experimental data back into their simulations, the researchers were able to refine their models to better reflect actual conditions. This iterative process is vital as materials science increasingly adopts AI and advanced computational tools.

"If our models aren't accurate enough and we have no way to validate them, it's garbage in, garbage out," LeBeau notes. "This technique helps us understand why the material behaves the way it does and validate our models."

Implications for the lab

For laboratory managers and materials researchers, this breakthrough demonstrates the maturing potential of ptychography as a standard tool for investigating complex, disordered materials. Beyond ferroelectrics, the ability to extract 3D information from a sample at the atomic scale could revolutionize how we study metal alloys and semiconductors.

As research laboratories move toward more complex material design, integrating high-resolution 3D imaging with molecular dynamics will likely become the gold standard for verifying the "chemical species" that modulate material behavior.

This article was created with the assistance of Generative AI and has undergone editorial review before publishing.

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About the Author

  • Headshot photo of Michelle Gaulin

    Michelle Gaulin is an associate editor for Lab Manager. She holds a bachelor of journalism degree from Toronto Metropolitan University in Toronto, Ontario, Canada, and has two decades of experience in editorial writing, content creation, and brand storytelling. In her role, she contributes to the production of the magazine’s print and online content, collaborates with industry experts, and works closely with freelance writers to deliver high-quality, engaging material.

    Her professional background spans multiple industries, including automotive, travel, finance, publishing, and technology. She specializes in simplifying complex topics and crafting compelling narratives that connect with both B2B and B2C audiences.

    In her spare time, Michelle enjoys outdoor activities and cherishes time with her daughter. She can be reached at mgaulin@labmanager.com.

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