AI research

Houston researchers develop energy-efficient film for AI chips

UH researchers have developed a thin film that could allow AI chips to run cooler and faster. Photo courtesy University of Houston.

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

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This article originally appeared on our sister site, InnovationMap.

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A View From HETI

The process permanently stores some CO2 underground, reducing carbon emissions and carbon intensity. Photo courtesy UH

A new report from the University of Houston estimates that a method known as carbon dioxide-enhanced oil recovery (CO2-EOR) could recover roughly 137 billion barrels of U.S. oil—with Texas and the Gulf Coast poised to play a major role.

A UH Energy-produced white paper, titled “Revitalization of Mature Oil Fields: Opportunities and Challenges of CO2-EOR,” looks at how CO2-EOR could increase U.S. energy supply, reduce carbon emissions and lower the carbon intensity of oil production.

CO2-EOR injects pressurized carbon dioxide into mature oil wells to loosen and push oil trapped underground toward the production wells, allowing operators to extract oil typically left behind. The process permanently stores some CO2 underground, reducing carbon emissions and carbon intensity.

“Injected CO2 works to revitalize mature oil fields by reducing oil viscosity, improving sweep efficiency and restoring reservoir pressure, resulting in incremental oil production beyond primary and secondary recovery,” the report reads. “CO2-EOR also supports permanent carbon storage and by virtue of this will produce uniquely low-carbon intensity oil for global markets.”

Authored by Charles McConnell, executive director of UH's Center for Carbon Management in Energy, and Zhiyuan Li, a UH petroleum engineering doctoral candidate, the paper says that much of the opportunity lies right under the feet of Texas oil companies.

Texas and the Gulf Coast, including its offshore resources, have half of the nation's oil resources considered favorable for the CO2-EOR technology, the report says. According to UH, conventional U.S. oil reservoirs contain 624 billion barrels, with 434 billion barrels still underground, including about 20 billion barrels of proven reserves.

Still, the paper argues that the economics behind CO2-EOR need to be considered. The process’ success depends on a number of factors, including costs of carbon capture, field redevelopment, operations, monitoring, transportation and available tax incentives, according to UH.

Logistically, developing CO2-EOR operations out of older wells and infrastructure presents pros and cons. While using older wells can be more economical, aging infrastructure may require more frequent monitoring, inspection, repair or re-plugging, according to UH.

Ultimately, the report recommends focusing CO2-EOR development on mature oil fields with existing infrastructure, well-understood geology and reliable CO2 supplies. This approach, UH says, could help extend the productive life of existing oil fields while supporting “lower carbon intensity oil for global markets and a significant contribution to energy security.”

Read the full report here.

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