Texas A&M simulates how materials conduct electricity

Researchers at Texas A&M University have visualized how nearby potassium ions unexpectedly increase electron movement within zinc-based metal-organic frameworks (MOFs), a finding published in the Journal of the American Chemical Society. These MOFs, tiny three-dimensional networks with unique electronic properties, hold promise for advanced electronics that mimic the efficiency of the human brain.

“Our goal was to understand how electrons move through the MOF and how changes in its structure and nearby ions affect that movement,” said postdoctoral researcher Dr. Alejandro Aviles. This work, enabled by advanced computer simulations, could guide the development of neuromorphic devices for a new generation of analog computers.

Ion-Electron Coupling Drives Conductivity in MOF Materials

Zinc-based metal-organic frameworks exhibit enhanced electron mobility due to the influence of nearby potassium ions, a finding revealed through advanced computer simulations at Texas A&M University. These simulations visualized electrons traversing the MOF structure not through free movement, but by “hopping” between designated sites on the organic linkers connecting the zinc metal centers. The research team, led by Dr. Perla Balbuena, focused on understanding how the interplay between ions and electrons dictates the material’s electrical behavior.

The simulations demonstrated that the presence of potassium ions actively facilitates electron movement, indicating a direct coupling between ionic and electronic transport within the MOF structure. “The most important result is that ions inside the material can make it easier for electrons to move. This shows that the movement of ions and electrons is closely connected,” Aviles added.

This discovery is particularly relevant to the development of neuromorphic computing, an emerging field inspired by the efficiency of the human brain. Conventional digital computers separate processing and memory, requiring constant data transfer and significant energy expenditure. In contrast, biological brains integrate these functions, achieving remarkable energy efficiency. “Biological brains are extremely energy efficient, having memory and computing located in one region.

This has inspired analog and neuromorphic approaches that aim to reproduce some of that efficiency using materials whose electrical behavior can change in response to stimuli, like neurons do,” Balbuena said. MOFs, with their tunable structures and potential for redox activity, are being explored as materials capable of mimicking this integrated processing and memory function.

The team’s analytical approach relied on sophisticated computer modeling. “This analysis is possible because of advanced computer simulations that allow us to see how individual parts of these materials interact and move, helping us understand how those small-scale behaviors affect the material as a whole,” Balbuena stated. The identified mechanism, ion-assisted electron hopping, may also extend to other redox-active MOFs, offering a pathway for designing materials with tailored electronic properties.

The research, conducted as part of the Reconfigurable Electronic Materials Inspire by Nonlinear Neuron Dynamics (ReMIND) Energy Frontier Research Center, benefits from collaborations with experimental scientists at National Labs, the National Laboratory of the Rockies and the Texas A&M Department of Chemistry. “Together with experiments, this gives us a clearer picture of how the material works,” Aviles said.

The team’s findings not only advance the fundamental understanding of MOF conductivity but also provide a foundation for developing electronic devices that promise increased efficiency and adaptability. “The mechanism we identified may also help explain and guide the design of other redox-active MOFs, and other materials that may behave like them.”

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