Houston researchers develop material to boost AI speed and cut energy use

ai research

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.

By prioritizing the deployment of smart, energy-efficient technologies, we can ensure that Houston remains at the forefront of the global energy landscape, setting the standard for other cities to follow. Photo via Getty Images

HVAC innovation has a huge role to play in Houston amid energy transition

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As Houston, the energy capital of the world, navigates the global energy transition, the city is uniquely positioned to lead by example. This transition isn’t just about shifting from fossil fuels to renewable energy; it’s about creating an ecosystem where corporations, research institutions, startups, and investors collaborate to develop and implement innovative technologies.

One of the most promising areas for reducing energy consumption and minimizing environmental impact is in heating, ventilation, and air conditioning, or HVAC, systems.

Houston’s intense weather patterns demand efficient and adaptable climate control solutions. Traditional HVAC systems, while effective in maintaining indoor comfort, often operate on fixed settings that don’t account for real-time changes in occupancy or weather. This results in energy waste and increased utility costs — issues that can be mitigated by integrating artificial intelligence into HVAC systems.

AI-driven HVAC systems offer a dynamic approach to heating and cooling, learning from user preferences and environmental conditions to optimize performance. These systems use advanced algorithms to continuously adjust their operation, ensuring that energy is used only when and where it’s needed. This results in up to 30 percent greater energy efficiency compared to conventional systems, translating into significant savings for consumers and a reduction in overall energy demand.

For a city like Houston, where energy consumption is a critical concern, the widespread adoption of AI-integrated HVAC systems could have a substantial impact. By optimizing energy use in homes, offices, and industrial spaces, these systems help reduce the strain on the electrical grid, particularly during peak usage times. Additionally, they contribute to lowering greenhouse gas emissions, aligning with Houston’s broader sustainability goals.

The potential of AI in HVAC systems extends beyond efficiency and environmental benefits. These systems enhance the user experience by offering precise control over indoor climates, adapting to individual preferences, and responding to external conditions in real-time. This level of customization not only improves comfort but also supports a smarter, more sustainable approach to energy management.

Houston’s energy transition requires the collective efforts of all sectors. While large corporations and government entities play a significant role, the contributions of startups, research institutions, and energy service companies are equally important. These entities are at the forefront of developing technologies that address both the economic and environmental challenges of our time. Investors are increasingly recognizing the value of funding solutions that offer long-term sustainability alongside financial returns, further driving the adoption of innovative energy technologies.

The integration of AI into HVAC systems represents a crucial step forward in this journey. As Houston continues to evolve as a leader in energy innovation, embracing advanced technologies like AI-driven HVAC systems will be key to achieving a more sustainable and resilient energy future. These systems are not just a technological advancement—they are a strategic tool in the broader effort to reduce energy consumption, lower emissions, and create a healthier environment for all.

At the heart of Houston’s energy transition is the commitment to building a future that balances growth with sustainability. By prioritizing the deployment of smart, energy-efficient technologies, we can ensure that Houston remains at the forefront of the global energy landscape, setting the standard for other cities to follow. As we move forward, the integration of AI into our energy infrastructure, particularly in HVAC systems, will be instrumental in shaping a sustainable and prosperous future for Houston and beyond.

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Trevor Schick is the president of KOVA, a Texas company creating sustainable solutions in building development.

This article originally ran on EnergyCapital.
The four-year agreement will support the team’s ongoing work on removing PFAS from soil. Photo via Rice University

Houston chemist earns $12M grant to support innovative soil pollutant removal process

making moves

A Rice University chemist James Tour has secured a new $12 million cooperative agreement with the U.S. Army Engineer Research and Development Center on the team’s work to efficiently remove pollutants from soil.

The four-year agreement will support the team’s ongoing work on removing per- and polyfluoroalkyl substances (PFAS) from contaminated soil through its rapid electrothermal mineralization (REM) process, according to a statement from Rice.

Traditionally PFAS have been difficult to remove by conventional methods. However, Tour and the team of researchers have been developing this REM process, which heats contaminated soil to 1,000 C in seconds and converts it into nontoxic calcium fluoride efficiently while also preserving essential soil properties.

“This is a substantial improvement over previous methods, which often suffer from high energy and water consumption, limited efficiency and often require the soil to be removed,” Tour said in the statement.

The funding will help Tour and the team scale the innovative REM process to treat large volumes of soil. The team also plans to use the process to perform urban mining of electronic and industrial waste and further develop a “flash-within-flash” heating technology to synthesize materials in bulk, according to Rice.

“This research advances scientific understanding but also provides practical solutions to critical environmental challenges, promising a cleaner, safer world,” Christopher Griggs, a senior research physical scientist at the ERDC, said in the statement.

Also this month, Tour and his research team published a report in Nature Communications detailing another innovative heating technique that can remove purified active materials from lithium-ion battery waste, which can lead to a cleaner production of electric vehicles, according to Rice.

“With the surge in battery use, particularly in EVs, the need for developing sustainable recycling methods is pressing,” Tour said in a statement.

Similar to the REM process, this technique known as flash Joule heating (FJH) heats waste to 2,500 Kelvin within seconds, which allows for efficient purification through magnetic separation.

This research was also supported by the U.S. Army Corps of Engineers, as well as the Air Force Office of Scientific Research and Rice Academy Fellowship.

Last year, a fellow Rice research team earned a grant related to soil in the energy transition. Mark Torres, an assistant professor of Earth, environmental and planetary sciences; and Evan Ramos, a postdoctoral fellow in the Torres lab; were given a three-year grant from the Department of Energy to investigate the processes that allow soil to store roughly three times as much carbon as organic matter compared to Earth's atmosphere.

By analyzing samples from the East River Watershed, the team aims to understand if "Earth’s natural mechanisms of sequestering carbon to combat climate change," Torres said in a statement.

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

Houston researcher scores prestigious NSF award for machine learning, power grid tech

grant funding

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also

granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.

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This article originally ran on EnergyCapital.

The research outfit says North America leads global AI growth in oil and gas, with Houston playing a pivotal role. Photo via Getty Images

Report: Houston rises as emerging hub for $6B global AI in oil and gas industry

eyes on ai

Houston is emerging as a hub for the development of artificial intelligence in the oil and gas industry — a global market projected to be worth nearly $6 billion by 2028.

This fresh insight comes from a report recently published by ResearchAndMarkets.com. The research outfit says North America leads global AI growth in oil and gas, with Houston playing a pivotal role.

“With AI-driven innovation at its core, the oil and gas industry is set to undergo a profound transformation, impacting everything from reservoir optimization to asset management and energy consumption strategies — setting a new standard for the future of the sector,” says ResearchAndMarkets.com.

The research company predicts the value of the AI sector in oil and gas will rise from an estimated $3.2 billion in 2023 and $3.62 billion in 2024 to $5.8 billion by 2028. The report divides AI into three categories: software, hardware, and hybrids.

As cited in the report, trends that are sparking the explosion of AI in oil and gas include:

  • Stepped-up use of data
  • Higher demand for energy efficiency and sustainability
  • Automation of repetitive tasks
  • Optimization of exploration and drilling
  • Enhancement of safety

“The oil and gas industry’s ongoing digitization is a significant driver behind … AI in the oil and gas market. Rapid adoption of AI technology among oilfield operators and service providers serves as a catalyst, fostering market growth,” says ResearchAndMarkets.com.

The report mentions the Open AI Energy Initiative as one of the drivers of increased adoption of AI in oil and gas. Baker Hughes, C3 AI, Microsoft, and Shell introduced the initiative in February 2021. The initiative enables energy operators, service providers, and vendors to create sharable AI technology for the oil and gas industry.

Baker Hughes and C3 AI jointly market AI offerings for the oil and gas industry.

Aside from Baker Hughes, Microsoft, and Shell, other companies with a significant Houston presence that are cited in the AI report include:

  • Accenture
  • BP
  • Emerson Electric
  • Google
  • Halliburton
  • Honeywell
  • Saudi Aramco
  • Schlumberger
  • TechnipFMC
  • Weatherford International
  • Wood

Major AI-related trends that the report envisions in the oil and gas sector include the:

  • Digital twins for asset modeling
  • Autonomous robotics
  • Advanced analytics for reservoir management
  • Cognitive computing for decision-making
  • Remote monitoring and control systems

“The digitization trend within the oil and gas sector significantly propels the AI in oil and gas market,” says the report.

The project will focus on testing 5G networks for software-centric architectures. Photo via Getty Images

Rice lands federal funding for new 5G testing framework

money moves

A team of Rice University engineers has secured a $1.9 million grant from the U.S. Department of Commerce’s National Telecommunications and Information Administration to develop a new way to test 5G networks.

The project will focus on testing 5G networks for software-centric architectures, according to a statement from Rice. The funds come from the NTIA's most recent round of grants, totaling about $80 million, as part of the $1.5 billion Public Wireless Supply Chain Innovation Fund. Other awards went to Virginia Tech, Northeastern University, DISH Wireless, and more.

The project at Rice will be led by Rahman Doost-Mohammady, an assistant research professor of electrical and computer engineering; and Ashutosh Sabharwal, the Ernest Dell Butcher Professor of Engineering and chair of the Department of Electrical and Computer Engineering. Santiago Segarra, assistant professor of electrical and computer engineering and an expert in machine learning for wireless network design, is also a co-principal investigator on this project.

"Current testing methodologies for wireless products have predominantly focused on the communication dimension, evaluating aspects such as load testing and channel emulation,” said Doost-Mohammady said in a statement. “But with the escalating trend toward software-based wireless products, it’s imperative that we take a more holistic approach to testing."

The new framework will be used to "assess the stability, interoperability, energy efficiency and communication performance of software-based machine learning-enabled 5G radio access networks (RANs)," according to Rice, known as ETHOS.

Once created, the team of researchers will use the framework for extensive testing using novel machine learning algorithms for 5G RAN with California-based NVIDIA's Aerial Research Cloud (ARC) platform. The team also plans to partner with other industry contacts in the future, according to Rice.

“The broader impacts of this project are far-reaching, with the potential to revolutionize software-based and machine learning-enabled wireless product testing by making it more comprehensive and responsive to the complexities of real-world network environments,” Sabharwal said in the statement. “By providing the industry with advanced tools to evaluate and ensure the stability, energy efficiency and throughput of their products, our research is poised to contribute to the successful deployment of 5G and beyond wireless networks.”

Late last year, the Houston location of Greentown Labs also landed funds from the Department of Commerce. The climatetech startup incubator was named to of the Economic Development Administration's 10th cohort of its Build to Scale program and will receive $400,000 with a $400,000 local match confirmed.

Houston-based nonprofit accelerator, BioWell, also received funding from the Build to Scale program.
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Booming Houston suburb launches innovation grant to attract startups

innovation incentive

Think you’ve got a burgeoning startup? Consider moving it to southwest Houston. The City of Sugar Land announced the Sugar Land Starts Innovation Fund last week to support companies that move jobs to the area.

“The Sugar Land Starts Innovation Fund is designed to support companies that are ready to grow and make a meaningful, long-term commitment to our community,” Colby Millenbruch, business recruitment manager for the City of Sugar Land, said in a news release. “By focusing on revenue-generating startups and performance-based incentives, we are creating a clear pathway for innovative companies to scale while reenergizing existing office space.”

The performance-based, non-equity dilutive grant program is open to companies that demonstrate at least $250,000 in generated revenue or $500,000 in institutional backing from a bank or venture capital firm. They must commit to hiring or relocating at least three employees in Sugar Land for a minimum of three years and at an average salary of $61,240. Compliance will be verified through Texas Workforce Commission reporting.

The fund builds off the Sugar Land Plug and Play partnership to turn the city into an innovative technology hub.

Collaboration with the Silicon Valley-based startup incubator and accelerator on a physical location in southwest Houston has supported 22 startups and has raised $6.5 million in capital since it officially launched in Sugar Land last March. Companies located at the Sugar Land Plug and Play include Synaps, a browser-based design platform for architects, and Intero Biosystems, which produces miniature human organs for preclinical drug development.

In addition to direct funding and business space, both the new grant and the overall Plug and Play project facilitate meetings with Houston-area businesses like CenterPoint Energy.

This should not only bring new industries to Sugar Land, but also allow existing companies to expand outward as technological investors to create a web of new progress.

“This investment is about more than technology. It’s about creating an environment where innovation can take root, grow, and deliver lasting value for the Sugar Land community,” David Steele, director of Texas at Plug and Play, added in the release. “Sugar Land is setting itself apart by taking a long-term view, investing in founders, partnerships, and technologies that will define the next chapter of growth. We’re proud to partner with the city in building an innovation ecosystem that benefits both entrepreneurs and the broader community.”

Income study shows $100,000 salary goes further in Houston in 2026

Money Talk

A 2026 income study has good news for big earners in Houston: A six-figure salary goes further than it did last year.

A Houston resident's $100,000 salary is worth $84,840 after taxes and adjusted for the local cost of living, according to the new financial analysis from SmartAsset. That's about $1,500 more than Houstonians were bringing home last year.

The 2026 take-home pay is about 8 percent higher than it was in 2024, when the same salary had an adjusted value of $78,089.

SmartAsset used its paycheck calculator to apply federal, state and local taxes to an annual salary of $100,000 in 69 of the largest American cities. The figure was then adjusted for the local cost of living (which included average costs for housing, groceries, utilities, transportation, and miscellaneous goods and services). Cities were then ranked based on where a six-figure salary is worth the least after applicable taxes and cost of living adjustments.

Houston ranked No. 60 in the overall ranking of U.S. cities where $100,000 is worth the least. If the rankings were flipped and the cities were ranked based on where $100,000 goes the furthest, that places Houston in the No. 10 spot nationwide.

Manhattan, New York remains the No. 1 city where a six-figure salary is worth the least. A Manhattan resident's take-home pay is only worth $29,420 after taxes and adjusted for the cost of living, which is 3.10 percent lower than it was in 2025.

SmartAsset determined Manhattan has a 29.7 percent effective tax rate on six-figure salaries. Meanwhile, the effective tax rate on a $100,000 salary in Texas (based on the eight cities examined in the report) is 21.1 percent. It's worth highlighting that New York implements a statewide graduated-rate income tax from 4-10.90 percent, whereas Texas is one of only eight states that don't tax residents' income.

Oklahoma City, No. 69, is the U.S. city in the report where a $100,000 salary stretches the furthest. A six-figure salary is worth $91,868 in 2026, up from $89,989 last year.

This is the post-tax value of a $100,000 salary in other Texas cities, and their ranking in the report:

  • Plano (No. 27): $72,653
  • Dallas (No. 47): $80,103
  • Austin (No. 53): $82,446
  • Lubbock (No. 59): $84,567
  • San Antonio (No. 62): $86,419
  • El Paso (No. 67): $90,276
  • Corpus Christi (No. 68): $91,110
According to the report, getting some "financial breathing room" by making six-figures really depends on where someone lives and what their lifestyle is. For residents living in the 42 states that levy some amount of income tax, their take-home pay dwindles further."And depending on how taxes are filed, reaching a $100,000 income may push a household from the 22 percent to 24 percent marginal tax bracket," the report's author wrote. "Meanwhile, locations with high costs across housing and everyday essentials may be less forgiving to a $100,000 income."

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This article originally appeared on CultureMap.com.

Rice University partners with astronaut foundation to offer new STEM scholarship

space scholars

Rice University has partnered with The Astronaut Scholarship Foundation (ASF) to offer a new scholarship opportunity for junior or senior STEM majors, beginning this spring.

The prestigious Astronaut Scholarship includes up to $15,000, mentorship, networking and a paid trip to the ASF Innovators Symposium and Gala. The scholarship is funded by the James A. Lovell Jr. Family Endowment, in honor of the late American astronaut and founder of the ASF.

“This scholarship opportunity represents an exciting new avenue for Rice STEM students to synthesize their experiences in courses and research and their commitment to advancing the public good as leaders in their field,” Danika Brown, executive director for the Center for Civic Leadership at Rice, said in a news release. “We are so grateful to the Lovell family and to the foundation for investing in Rice students, and we are confident that the foundation will be impressed with our nominees and that selected students will have a life-changing experience as astronaut scholars.”

The Rice Space Institute and the Center for Civic Learning recently hosted the ASF at the Ralph S. O’Connor Building for Engineering and Science.

At the ASF event, Jeff Lovell—son of James Lovell, who commanded Apollo 13 and flew on Apollo 8—announced the scholarship aimed at Rice STEM students. Charlie Duke, who served as spacecraft communicator for the Apollo 11 Moon landing and as the lunar module pilot for Apollo 16, also spoke at the event.

The ASF awarded 74 scholarships to students from 51 universities across the U.S. last May.

The ASF awarded its first seven $1,000 scholarships in 1986 to pay tribute to the Mercury 7 astronauts. It has since awarded more than $10 million to more than 850 college students.

So far, only students from Texas A&M University and the University of Texas at Austin have received the scholarship in Texas.

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