future of batteries

UH researchers develop breakthrough material to boost efficiency of sodium-ion batteries

A team at the University of Houston is changing the game for sodium-ion batteries. Photo via Getty Images

A research lab at the University of Houston has developed a new type of material for sodium-ion batteries that could make them more efficient and boost their energy performance.

Led by Pieremanuele Canepa, Robert Welch assistant professor of electrical and computer engineering at UH, the Canepa Research Laboratory is working on a new material called sodium vanadium phosphate, which improves sodium-ion battery performance by increasing the energy density. Energy density is the amount of energy stored per kilogram, and the new material can do so by more than 15 percent. With a higher energy density of 458 watt-hours per kilogram — compared to the 396 watt-hours per kilogram in older sodium-ion batteries — this material brings sodium technology closer to competing with lithium-ion batteries, according to the researchers.

The Canepa Lab used theoretical expertise and computational methods to discover new materials and molecules to help advance clean energy technologies. The team at UH worked with the research groups headed by French researchers Christian Masquelier and Laurence Croguennec from the Laboratoire de Reáctivité et de Chimie des Solides, which is a CNRS laboratory part of the Université de Picardie Jules Verne, in Amiens France, and the Institut de Chimie de la Matière Condensée de Bordeaux, Université de Bordeaux, Bordeaux, France for the experimental work on the project.

The researchers then created a battery prototype using the new materia sodium vanadium phosphate, which demonstrated energy storage improvements. The material is part of a group called “Na superionic conductors” or NaSICONs, which is made to let sodium ions move in and out of the battery during charging and discharging.

“The continuous voltage change is a key feature,” Canepa says in a news release. “It means the battery can perform more efficiently without compromising the electrode stability. That’s a game-changer for sodium-ion technology.”

The synthesis method used to create sodium vanadium phosphate may be applied to other materials with similar chemistries, which could create new opportunities for advanced energy storage. A paper of this work was published in the journal Nature Materials.

"Our goal is to find clean, sustainable solutions for energy storage," Canepa adds. "This material shows that sodium-ion batteries can meet the high-energy demands of modern technology while being cost-effective and environmentally friendly."

Pieremanuele Canepa, Robert Welch assistant professor of electrical and computer engineering at UH, is leading a research project that can change the effectiveness of sodium-ion batteries. Photo courtesy of UH

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A View From HETI

Hadi Ghasemi, a University of Houston professor, has uncovered a method to release heat from data centers and electronics at record performance. Photo courtesy UH.

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

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