Small Crystals, Big Insights: How Electron Diffraction is Transforming Materials, Life Science, and Chemistry Research

5. Revealing Atomic-Level Battery Material Structures with Electron Diffraction

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This is a written summary of a live webinar presented on July 9, 2025. The recording and resources are available on the recording page.

Presented by:

Josh Bocarsly

Asst. Prof. Joshua Bocarsly

Assistant Professor in Chemistry

University of Houston

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Webinar summary

In this webinar, the fifth episode of the series on electron diffraction, Professor Joshua Bocarsly from the University of Houston delves into how electron diffraction—specifically microcrystal electron diffraction (MicroED)—is reshaping the way researchers analyze and understand battery materials.

Joshua begins by laying out the fundamentals of battery design, particularly lithium-ion and sodium-ion chemistries. He explains how battery performance is directly tied to the atomic-scale structure of the materials used in electrodes, with layered structures like lithium cobalt oxide enabling efficient ion transport. While lithium batteries have become the dominant technology due to their high energy density and reliability, they are expensive and rely on scarce elements such as lithium and cobalt. Sodium, on the other hand, is much more abundant and cheaper, but its larger ion size introduces structural complications during battery operation. These complications often manifest as multiple, distinct phase transitions during charge and discharge cycles, which can lead to degradation over time.

Understanding these subtle structural changes is crucial to improving battery durability and performance, but traditional tools like lab-based X-ray powder diffraction are frequently inadequate. The superstructure features that emerge from sodium ion rearrangements are so subtle that they can be drowned out by noise in conventional diffraction data. Even high-end techniques like synchrotron X-ray and neutron diffraction, though effective, require access to national facilities and involve elaborate sample preparation. Joshua emphasizes that despite the significance of these phase transitions, structural models for many intermediate battery states remain unavailable or incomplete.

To address this challenge, his team has turned to MicroED, a technique that allows single-crystal-like diffraction data to be collected from real-world battery particles that are far too small for conventional crystallography. Working with Rigaku and their XtaLAB Synergy-ED system, Joshua’s group demonstrated how they can quickly acquire high-resolution structural data from submicron battery crystallites. By crushing powders and transferring them to transmission electron microscopy (TEM) grids, they collect complete three-dimensional datasets within minutes. This method not only accelerates the pace of structural discovery but also enables the identification of superstructures and phase transitions that are otherwise inaccessible.

Two case studies illustrate the power of MicroED. The first involves a known sodium cobalt oxide powder used as a calibration exercise. The second focuses on a real battery electrode that had been partially charged. In both instances, MicroED revealed the presence of complex sodium ordering patterns—zigzag arrangements and vacancy orderings—that correspond directly to the electrochemical behavior observed during cycling. These findings are vital because they clarify how sodium ions migrate through the structure, which in turn influences capacity, reversibility, and longevity. The results are cross-validated with conventional powder diffraction to ensure they reflect bulk material behavior, not just isolated anomalies.

While MicroED is not without challenges—such as handling dynamical diffraction effects and accounting for ion-specific scattering factors—Joshua’s work shows that these issues can be managed with careful refinement and validation. The broader implication is that MicroED provides a fast, accessible, and powerful new approach for battery researchers seeking to unravel the nuanced behaviors of emerging electrode materials. It opens the door to understanding structural features that were previously invisible, laying the groundwork for next-generation batteries that are safer, longer-lasting, and more affordable.

This webinar marks a clear shift in how crystallographic techniques are being integrated into applied energy research. It positions MicroED as a crucial bridge between traditional lab-based analysis and the kind of high-resolution insights once limited to elite synchrotron facilities, democratizing access to structural data at a time when battery technology is expanding on an unprecedented scale.

 

Key questions answered in the webinar:

Current battery research is primarily driven by the massive demand for energy storage, particularly for electric vehicles and, even more significantly, for grid-scale energy storage. While lithium-ion batteries have revolutionized personal electronics due to their good performance in terms of charge speed, longevity, and capacity, they face significant limitations for larger-scale deployment. The key issues are their high cost and reliance on rare and expensive elements like cobalt, nickel, and lithium. For example, a single electric vehicle can contain 450 kilograms to a ton of batteries, and grid-scale storage units require capacities thousands of times larger than a car battery (e.g., 200 megawatt-hours costing $110 million USD). This immense demand necessitates cheaper and more abundant materials to enable a fully renewable energy economy, which would require hundreds to thousands of gigawatt-hours of battery capacity per country.

A basic rechargeable battery, like a lithium-ion battery, consists of two electrodes—a positive electrode (cathode, typically a metal oxide like lithium cobalt oxide) and a negative electrode (anode, often graphite or lithium metal)—separated by an ionically conductive but electrically insulating electrolyte. When charging, an external electrical current forces electrons from the positive to the negative electrode, and corresponding ions (e.g., lithium) move across the electrolyte to meet the negative charge. During discharge, the reverse happens, with ions flowing back and electrons moving through an external circuit to do work. The structure of the battery materials, particularly the cathode, is critically important. Layered structures in metal oxides allow for high mobility and reversible intercalation and deintercalation of ions. Changes in the material's structure (e.g., shrinking, growing, stress, strain, cracking, or side product formation) during repeated charging and discharging cycles significantly impact performance, degradation, and overall lifetime.

The main advantage of exploring sodium-ion batteries is their significantly lower cost and greater abundance compared to lithium-ion batteries. Sodium is chemically very similar to lithium but is extremely abundant globally, essentially being "nearly free" compared to lithium, which has seen price spikes due to growing demand and complicated trade. While sodium-ion batteries currently exhibit slightly lower power and energy density because sodium ions are larger and heavier, making them harder and slower to move through materials, research is pushing their performance to be competitive with lithium, especially when considering the cost factor. The ability to deploy batteries on massive scales for electric vehicles and grid energy storage hinges on the availability and affordability of materials, making sodium a crucial "next frontier" in battery technology. Furthermore, sodium-ion battery manufacturing can leverage existing lithium battery infrastructure with minimal changes.

Battery charging profiles, which plot voltage against specific capacity, reveal insights into the electrochemical processes occurring within the battery. A "solid solution" type charging profile, typically seen in lithium-ion batteries like NMC (nickel manganese cobalt) cathodes, appears relatively smooth and continuously increasing. This indicates that ions (e.g., lithium) are randomly removed from the material, largely staying within the same crystal phase, though lattice parameters may change, causing strains.

In contrast, "phase transition" or "steppy" profiles, common in sodium-ion batteries (e.g., sodium cobalt oxide), show distinct steps and plateaus. Each step represents a single stable phase, and the plateaus between them indicate a two-phase reaction. These transitions occur because the larger sodium ions have a more significant impact on the cathode structure when removed, causing the material to jump between different stable phases. While thermodynamically interesting, undergoing multiple phase transitions during thousands of charge/discharge cycles can be a major cause of degradation, leading to hysteresis, cracking, volume changes, and the formation of "dead areas," thus negatively affecting the battery's long-term reversibility and efficiency. Understanding these phase transitions is critical for designing more durable batteries.

Determining the precise crystal structure of battery materials is challenging because the critical structural elements, such as sodium vacancy orderings or subtle stacking sequence transitions, are often very difficult to observe experimentally. For example, using standard lab-based powder X-ray diffraction (XRD), the main peaks of the material framework are clearly visible, but the "superstructure peaks" that arise from specific vacancy orderings are often hidden within the noise, making it impossible to extract information about these subtle but critically important features. While high-resolution synchrotron X-ray diffraction and neutron diffraction can reveal these superstructure peaks, these techniques are labor-intensive, require access to national facilities, and demand very careful sample preparation and measurement (e.g., making large battery samples and maintaining specific charge states). Furthermore, typical battery materials are microcrystalline or polycrystalline, not large single crystals, which complicates traditional single-crystal X-ray diffraction methods.

MicroED (Micro-Electron Diffraction) addresses the challenges of structural characterization by enabling the collection of full 3D single-crystal diffraction data from micro- or nanocrystalline battery materials, which are the realistic forms found in batteries. Unlike traditional single-crystal X-ray diffraction that requires large single crystals, MicroED can be performed on tiny portions of individual crystallites (typically 200-300 nanometers thick) within a powder sample, as long as they are electron-transparent.

Its main advantages include:

  • Single-crystal data from realistic samples: It allows for the study of the actual materials used in batteries, which are typically very small crystallites.
  • Fast collection times: Data collection takes only a few minutes (2-5 minutes per sample) compared to hours for other techniques. This speed allows researchers to analyze multiple particles in one session and quickly survey the diversity of phases present in a sample.
  • Targeted analysis: Using a TEM, researchers can precisely target and analyze individual micro- or nanophases, including side products or distinct stacking sequences, that would be difficult to isolate otherwise.
  • High resolution: It can achieve resolutions down to 0.3-0.5 angstroms, providing detailed structural information.

Several practical considerations and challenges arise when performing MicroED on battery materials:

  • Sample preparation: Battery materials, especially those from cycled electrodes, require careful preparation. This involves grinding the powder finely, placing it on a TEM grid, and often manipulating it in an air-free, inert environment (like a glovebox) to prevent degradation from air exposure, especially for delithiated or desodiated samples. Cryostages can be used for sample loading under liquid nitrogen to maintain an inert and cold environment.
  • Incomplete Ewald sphere: The data collected in MicroED often results in an incomplete Ewald sphere in reciprocal space, appearing as a "wedge." This is due to limitations in the sample's rotation range and can lead to ambiguity in space group determination.
  • Dynamical diffraction: Electrons interact more strongly with atoms than X-rays, leading to dynamical diffraction effects (e.g., double diffraction). This can cause intensity in positions that should be systematically absent based on the space group, making structure solution more complex. While often manageable by refining an extinction coefficient, it's a significant difference from X-ray crystallography.
  • Electron scattering factors: The scattering factors for electrons are less straightforward than X-ray scattering factors and can vary significantly between neutral atoms and ions, which is crucial for battery materials where ion states change. Using tabulated factors for ions is recommended.
  • Verification: Because MicroED analyzes individual tiny particles, it's essential to verify that the derived structure is representative of the bulk material. This is typically done by comparing the MicroED-derived structure with bulk powder diffraction data, ensuring consistency even if the powder data alone couldn't resolve all the subtle features.
  • R-values: R-values (a measure of fit quality) from MicroED refinements are typically higher than those in X-ray crystallography (e.g., 15% is considered good, whereas 10% is excellent), reflecting the complexities of electron diffraction and the approximate handling of dynamical effects.

The detailed structural information obtained from MicroED is crucial for understanding and improving battery performance. By solving the 3D crystal structures of battery materials at different states of charge, researchers can:

  • Identify phase transitions: Precisely determine the structures of various phases that occur during charging and discharging, especially the subtle "sodium vacancy orderings" or stacking sequence transitions in sodium-ion batteries, which are often the root cause of degradation.
  • Inform simulations: Provide fundamental structural data (e.g., atomic positions, lattice parameters) that can serve as the basis for various computational simulations, such as density functional theory (DFT) calculations, to predict material behavior and optimize designs.
  • Map ion conduction pathways: Analyze the crystal structure to identify pathways through which ions (e.g., sodium) can move. Techniques like bond valence sum mapping can highlight areas suitable for ion occupation and connectivity, providing insights into ion mobility and overall battery performance.
  • Rationalize material design: With a clear understanding of structure-property relationships, researchers can design new battery materials with improved characteristics, such as higher energy density, longer lifetime, better safety, and lower cost, by avoiding detrimental phase transitions or optimizing ion transport.
Crystallography times editor

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