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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Houston startup debuts bio-based 'leather' fashion collection in Milan

sustainable fashion

Earlier this month, Houston-based Rheom Materials and India’s conscious design studio Econock unveiled a collaborative capsule collection that signaled more than just a product launch.

Hosted at Lineapelle—long considered the global epicenter of the world's premier leather supply chain—in the vaulted exhibition halls of Rho-Fiera Milano, the collection centered around Rheom’s 91 percent bio-based leather alternative, Shorai.

It was a bold move, one that shifted sustainability from a concept discussed in panel sessions to garments that buyers could touch and wear.

The collection featured a bomber-style jacket, an asymmetrical skirt and a suite of accessories—all fabricated from Shorai.

The standout piece, a sculptural jacket featuring a funnel neck and dual-zip closure, was designed for movement, challenging assumptions about performance limitations in bio-based materials. The design of the asymmetrical skirt was drawn from Indian armored warrior traditions, according to Rheom, with biodegradable corozo fasteners.

Built as a modular wardrobe rather than isolated pieces, the collection reflects a shared belief between Rheom and Econock in designing objects that adapt to daily life, according to the companies.

The collection was born out of a new partnership between Rheom and Econock, focused on bringing biobased materials to the market. According to Rheom, the partnership solves a problem that has stalled the adoption of many next-gen textiles: supply chain friction.

While Rheom focuses on engineering scalable bio-based materials, New Delhi-based Econock brings the complementary design and manufacturing ecosystem that integrates artisans, circular materials and production expertise to translate the innovative material into finished goods.

"This partnership removes one of the biggest barriers brands face when adopting next-generation materials,” Megan Beck, Rheom’s director of product, shared in a news release. “By reducing friction across the supply chain, Rheom can connect brands directly with manufacturers who already know how to work with Shorai, making the transition to more sustainable materials far more accessible.”

Sanyam Kapur, advisor of growth and impact at Econock, added: “Our partnership with Rheom Materials represents the benchmark of responsible design where next-gen materials meet craft, creativity, and real-world scalability.”

Rheom, formerly known as Bucha Bio, has developed Shorai, a sustainable leather alternative that can be used for apparel, accessories, car interiors and more; and Benree, an alternative to plastic without the carbon footprint. In 2025, Rheom was a finalist for Startup of the Year in the Houston Innovation Awards.

Shorai is already used by fashion lines like Wuxly and LuckyNelly, according to Rheom. The company scaled production of the sugar-based material last year and says it is now produced in rolls that brands can take to market with the right manufacturer.

Houston startup debuts leather alternative fashion collection in Milan

Houston clean energy co. secures $100M to deploy tech on global scale

Going Global

Houston-based Utility Global has raised $100 million in an ongoing Series D round to globally deploy its decarbonization technology at an industrial scale.

The round was led by Ara Partners and APG Asset, according to a news release. Utility plans to use the funding to expand manufacturing, grow its teams and support its commercial developments and partnerships.

“This financing marks a critical step in Utility’s transition from a proven technology to full-scale global commercial execution,” Parker Meeks, CEO and president of Utility Global, said in the release. “Industrial customers are no longer looking for pilots or promises; they need deployable solutions that work within existing assets and deliver true economic industrial decarbonization today that is operationally reliable and highly scalable. Utility’s technology produces both economic clean hydrogen and capture-ready CO2 streams, and this capital enables us to scale and deploy that impact globally with speed, discipline, and rigor.”

Utility Global's H2Gen technology produces low-cost, clean hydrogen from water and industrial off-gases without requiring electricity. It's designed to integrate into existing industrial infrastructure in hard-to-abate assets in the steel, refining, petrochemical, chemical, low-carbon fuels, and upstream oil and gas sectors.

“Utility is tackling one of the most difficult challenges in the energy transition: decarbonizing hard‑to‑abate industrial sectors,” Cory Steffek, partner at Ara Partners and Utility Global board chair, said in the release. “What sets Utility apart is its ability to compete head‑to‑head with conventional fossil‑based solutions on cost and reliability, even as it materially reduces emissions. With this new funding, Utility is well-positioned for its next chapter of commercial growth while maintaining the technical excellence and capital discipline that have defined its development to date.”

Utility Global reached several major milestones in 2025. After closing a $53 million Series C, the company agreed to develop at least one decarbonization facility at an ArcelorMittal steel plant in Brazil. It also signed a strategic partnership with California-based Kyocera International Inc. to scale global manufacturing of its H2Gen electrochemical cells.

The company also partnered with Maas Energy Works, another California company, to develop a commercial project integrating Maas’ dairy biogas systems with H2Gen to produce economical, clean hydrogen.

"These projects were never intended to stand alone. They anchor a deep and growing pipeline of commercial projects now in development globally across steel, refining, chemicals, biogas and other hard-to-abate sectors worldwide, Meeks shared in a 2025 year-in-review note. He added that 2026 would be a year of "focused acceleration to scale."

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This article originally appeared on EnergyCapitalHTX.com.

Houston Methodist awarded $4M grant to recruit head of Neal Cancer Center

new hire

Armed with a $4 million state grant, the Houston Methodist Academic Institute has recruited a renowned expert in ovarian and endometrial cancer research to lead the Dr. Mary and Ron Neal Cancer Center.

The grant, provided by the Cancer Prevention and Research Institute of Texas, enabled the institute to lure Dr. Daniela Matei away from Northwestern University’s Feinberg School of Medicine in Chicago. There, she is the Diana Princess of Wales Professor in Cancer Research and chief of the Division of Reproductive Science in Medicine.

Matei will succeed Dr. Jenny Chang, who was hired last year to run the Houston Methodist Academic Institute.

At the Neal Cancer Center, located in the Texas Medical Center complex, oncologists work on innovations in cancer research, treatment, and technology. The center opened in 2021 after the Neals donated $25 million to expand Houston Methodist’s cancer research capabilities. It handles about 7,000 new cases each year involving more than two dozen types of cancer.

U.S. News & World Report puts Houston Methodist Hospital at No. 19 among the country’s best hospitals for cancer care, two spots below Chicago’s Northwestern Memorial Hospital. The University of Texas MD Anderson Cancer Center in Houston sits at No. 1 on the list.

Matei’s research related to ovarian and endometrial cancer holds the potential to benefit tens of thousands of American women. The American Cancer Society estimates:

  • 21,010 women in the U.S. will be diagnosed with ovarian cancer, and 12,450 women will die from it.
  • 68,270 women in the U.S. will be diagnosed with endometrial cancer, and 14,450 women will die from it.

Matei is leaving Northwestern in the wake of widespread cuts in federal funding for medical research. The National Institutes of Health (NIH) has canceled or frozen tens of millions of dollars in grants for Northwestern, the Wall Street Journal reports, and the university has been plugging the gaps with its own money.

“The university is totally keeping us on life support,” Matei told the newspaper last year. “The big question is for how long they can do this.”

According to the Wall Street Journal, Matei’s $5 million NIH grant supporting 69 cancer trials has been caught up in the federal funding chaos, so Northwestern stepped in to cover trial expenses such as nurses’ salaries and diagnostic procedures.

Trial participants include some patients with rare, incurable tumors who are undergoing experimental treatments aligned with the genetics of their condition, the newspaper says.

“It’s certainly a life-and-death situation for cancer patients on these trials,” Matei said in 2025.

Matei is among the beneficiaries of more than $15 million in grants approved February 18 by CPRIT’s board. The grants went toward recruiting five cancer researchers to institutions in Texas.

One of those grants, totaling $1.5 million, went to the University of Houston to recruit Akash Gupta, a research scientist at MIT’s Koch Institute for Integrative Cancer Research. The remaining grants went to recruit scientists to The University of Texas at Dallas and The University of Texas Southwestern Medical Center.
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