cool findings

Houston researcher develops efficient method to cool AI data centers

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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A View From HETI

Jian Shi, Chuyue Wang and Kailai Wang have developed a model that aims to make recycling e-waste economically viable and help recover critical minerals needed for EVs. Photo courtesy UH.

The “missing link” in critical minerals may have been in our junk drawers all along, according to new research from the University of Houston.

Jian Shi, an associate professor in the UH Cullen College of Engineering, and his team have unveiled a new supply chain model that aims to make e-waste economically viable and could help make large-scale recycling possible.

Shi, along with professor Kailai Wang and graduate researcher Chuyue Wang, published the work in a recent issue of Nature. Their study outlines how gold, lithium and cobalt from discarded electronics can be kept circulating in the U.S. through the process of “urban mining.” It was supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) through the Vehicle Technologies Office.

The team’s research found that e-waste is the fastest-growing solid waste stream in the world. When waste from smartphones or tablets is left unmanaged, the devices can leak hazardous waste and pose significant fire risks due to aging batteries. Additionally, when they are shipped off to foreign landfills, the U.S. loses the potential to recycle or reuse the critical minerals left inside.

“A lot of people have iPads or old iPhones sitting in their drawers right now, and that’s a waste of a critical resource,” Shi said in a news release. “Urban mining allows us to extract the same high-value materials found in traditional mines without the environmental destruction. More importantly, it helps secure our domestic supply chain for the technologies of tomorrow.”

According to UH, recycling e-waste has not succeeded in the U.S. due to a fragmented recycling system, in which manufacturers, collectors and recyclers operate separately, driving up costs.

The UH team's research looks to change that.

In the study, the researchers modeled streamlined recycling efforts by mapping the interactions between manufacturers and independent recycling markets. Their dual-channel closed-loop supply chain (CLSC) model identified how these players can transition from competitors to partners, which can distribute profits more equitably and make recycling efforts more financially attractive.

According to UH, the research has particular significance due to the growing demand for electronic vehicles and their batteries.

“We can improve the performance of the entire recycling ecosystem and make the profit distribution more balanced,” Wang said in the release. “This ensures that the materials we need for EVs and advanced electronics stay right here in the U.S.”

“By making recycling work at scale, we aren’t just cleaning up waste,” Shi added. “We’re building a foundation that benefits both our national security and our economy.”

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