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Operando imaging of intercalation memory in MXenes

By combining operando microscopy and synchrotron X-ray diffraction, this study reveals that cycling induces a structural "memory" in MXenes, where individual flakes diverge into distinct kinetic behaviors—ranging from reversible monolayers to self-stabilizing folded multilayers—that govern subsequent ion intercalation dynamics.

Original authors: Franz Groebmeyer, Mohsen Beladi, Christoph G. Gruber, Ruocun Wang, Pol Salles, Nhu Quynh Nguyen, Jakub Drnec, Yury Gogotsi, Emiliano Cortes

Published 2026-09-07
📖 5 min read🧠 Deep dive

Original authors: Franz Groebmeyer, Mohsen Beladi, Christoph G. Gruber, Ruocun Wang, Pol Salles, Nhu Quynh Nguyen, Jakub Drnec, Yury Gogotsi, Emiliano Cortes

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Inside the tiny, layered materials that power our batteries and sensors, ions—charged atoms like protons—move in and out of the spaces between sheets of atoms. This movement, called intercalation, allows these materials to store energy or change their properties. For decades, scientists have understood that the speed and ease of this movement depend heavily on how tightly the layers are packed and how much space exists between them. When these spaces are incredibly narrow, measured in billionths of a meter, the movement of ions becomes a complex dance of water molecules and the material itself stretching and shrinking. However, most experiments have looked at huge collections of these materials at once, averaging out the behavior of billions of tiny sheets. This approach hides the unique stories of individual sheets, making it difficult to see why some parts of a battery work perfectly while others struggle, or why a material behaves differently after being used many times.

A team of researchers has now peeled back this veil of averages by watching individual sheets of a material called MXene in real time. Using a specialized microscope that can see changes in thickness and light reflection at the scale of single atoms, they observed how protons move into and out of these layers as the material is charged and discharged. They discovered that the history of a material matters just as much as its structure. When a stack of these sheets is used repeatedly, it does not simply return to its original state after every cycle. Instead, the material "remembers" its past movements, settling into new, stable shapes that dictate how it will behave in the future. This memory is not uniform; it depends entirely on how many layers are stacked together and how they are arranged.

The researchers focused on a specific type of MXene, a conductive material made of titanium and carbon, which is often used in advanced energy storage. They placed these materials on a glass slide and watched them react to electrical changes while submerged in an acidic liquid. By tracking the light reflecting off individual sheets, they could see exactly how the material expanded and contracted as protons entered and left the spaces between the layers. They found that a single, isolated sheet of the material responded quickly and perfectly every time, expanding and shrinking without any trouble. However, as soon as a second or third layer was added on top, the behavior changed dramatically. The added layers created a barrier that slowed down the movement of ions, turning a fast, surface-level reaction into a slower process that struggled to keep up with rapid charging.

What was most surprising was how the material changed over time. The team watched the same sheets for hundreds of charging cycles and saw three distinct ways they reacted. The single sheets remained unchanged, behaving like a reliable clock. But the stacked sheets split into two very different groups. Some stacks, which were loosely piled together, began to get "stuck." After charging, they could not fully return to their original shape, leaving some ions trapped inside. This incomplete recovery grew worse with every cycle, creating a permanent record of the material's past struggles. Other stacks, which were neatly aligned and tightly bonded, found a clever solution. Instead of getting stuck, they began to fold and unfold in specific, localized spots. These folds acted like tiny, reversible hinges, allowing the layers to stretch and shrink without breaking or trapping ions. Over time, the material learned to use these folds, creating a stable pattern that allowed it to function perfectly even after hundreds of cycles.

To confirm that these tiny, individual changes mattered on a larger scale, the researchers also looked at a thick film of the material using powerful X-rays. They saw the same story playing out across the whole sample. In the beginning, the layers of the film expanded and contracted wildly, often failing to return to their starting point. But as the material was cycled, the layers settled into a new, consistent rhythm. The film developed a specific "memory" of its structure, where the layers would expand and contract in a predictable, reproducible way, even though the material was no longer in its original, pristine state. This showed that the behavior of a single sheet is not an isolated event; it is a fundamental part of how the entire electrode functions.

The study reveals that the performance of these advanced materials is not just about their chemical makeup, but about their mechanical history. The way a material is stacked and how it has been used before determines whether it will get stuck or find a way to adapt. For scientists designing better batteries and sensors, this means that the path to improvement lies in controlling how these layers are arranged and how they are conditioned during their first few uses. By understanding that materials can learn to fold and stabilize themselves, or conversely, how they can become trapped in a state of incomplete recovery, researchers can now design systems that avoid the pitfalls of the past and harness the stability of the future. The material does not just sit there; it evolves, and its evolution is written in the tiny folds and gaps between its layers.

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