Alejandro Aviles Sanchez watches electrons hop like fireflies between molecular bridges inside a tiny metal scaffold. In his computer simulation, a single potassium ion drifts nearby—and suddenly, the path lights up. The electron jumps faster, easier, guided by the ion’s presence.
This dance of particles happens inside a material called a metal-organic framework, or MOF—a kind of 3D molecular mesh with promise for next-generation computing. At Texas A&M University, Dr. Perla Balbuena and her postdoc Dr. Alejandro Aviles Sanchez uncovered how ions help electrons move through one such MOF made of zinc and organic linkers. Their discovery could help build computers that work more like brains—using far less energy than today’s machines.
Most computers today separate memory and processing, shuttling data back and forth like cars on a highway. That wastes power. Brains don’t work that way. Neurons store and process information in the same place, adapting quickly and efficiently. Neuromorphic computing aims to copy that design. For it to work, scientists need materials whose electrical behavior changes on demand—just like nerve cells do when learning or responding to signals.
The team focused on a zinc-based MOF where electrons don’t flow freely. Instead, they jump from one organic linker to another in a process called electron hopping. What surprised the researchers was how much nearby ions influenced this movement. When a potassium ion came close, it lowered the energy barrier for the electron to hop—making conduction easier. This tight link between ion motion and electron transport had never been seen so clearly in MOFs before.
"The most important result is that ions inside the material can make it easier for electrons to move," Aviles said. "This shows that the movement of ions and electrons is closely connected." Using advanced simulations, the team mapped this interaction at the atomic level, revealing a mechanism that could apply to other redox-active materials too. Their findings were published in the Journal of the American Chemical Society (2026) and supported by collaborations with experimental scientists at Sandia National Labs, the National Laboratory of the Rockies, and Texas A&M’s chemistry department.
Understanding these microscopic rules helps engineers design smarter materials for analog devices. While still early, this research opens a path toward electronics that learn, adapt, and compute with brain-like efficiency. As scientists continue testing these ideas in real-world labs, the blueprint is now clearer: sometimes, all an electron needs is a little ionic nudge.