A team led by the Department of Energy’s Oak Ridge National Laboratory (ORNL) developed a novel, integrated approach to track energy-transporting ions within an ultra-thin material, which could unlock its energy storage potential leading toward faster charging, longer-lasting devices.
Scientists have, for a decade, studied the energy-storing possibilities of an emerging class of two-dimensional materials — those constructed in layers that are only a few atoms thick — called MXenes.
The ORNL-led team integrated theoretical data from computational modeling of experimental data to pinpoint potential locations of a variety of charged ions in titanium carbide, the most studied MXene phase. Through this holistic approach, they could track and analyze the ions’ motion and behavior from the single atom to the device scale.
Layered materials can enhance energy stored and power delivered, because the gaps between the layers allow charged particles, or ions, to move freely and quickly. However, ions can be difficult to detect and characterize, especially in a confined environment with multiple processes at play. A better understanding of these processes can advance the energy storage potential of lithium-ion batteries and supercapacitors.
The team focused on the development of supercapacitors — devices that charge quickly for short-term, high-power energy needs. In contrast, lithium-ion batteries have a higher energy capacity and provide electrical power longer, but the rates of discharge, and therefore their power levels, are lower.
MXenes have the potential to bridge the benefits of these two concepts, which is the overarching goal of fast-charging devices with greater, more efficient energy storage capacity. This would benefit a range of applications from electronics to electric vehicle batteries.
Using computational modeling, the team simulated the conditions of five different charged ions within the layers confined in an aqueous solution, or “water shell.” The theoretical model is simple, but combined with experimental data, it created a baseline that provided evidence of where the ions within the MXene layers went and how they behaved in a complex environment.
The team hopes their integrated approach can guide scientists toward future MXene studies. “What we developed is a joint model. If we have a little bit of data from an experiment using a certain MXene, and if we know the capacitance for one ion, we can predict it for the other ones, which is something that we weren’t able to do before,” said ORNL theorist, Paul Kent. “Eventually, we’ll be able to trace those behaviors to more real-world, observable changes in the material’s properties,” he added.