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

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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

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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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Rice University launches AI initiative, plans to hire 75 faculty

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Houston’s Rice University announced a university-wide artificial intelligence initiative this week that includes hiring 75 new AI-focused faculty. It also shared new details about its planned state-of-the-art facility, The Arc.

Fresh off the announcement of Rice’s new Master of Artificial Intelligence (MAI) coming next fall, the university shared that it plans to expand its AI-related courses and be a “global leader in advanced computing and responsible AI.”

Rice reports that it has already hired 35 faculty members to deepen expertise across schools and departments regarding AI, and plans to recruit 40 more across disciplines including engineering, computing, health, energy, environmental resilience, business, humanities and the arts.

Rice's schools and departments have identified the four cluster areas to guide its hiring:

  • Foundational AI
  • AI for Health
  • AI for Energy, the Environment and Resiliency
  • Responsible AI: Society and Ethics

“Hiring exceptional faculty is essential, but it is only one part of the equation,” Amy Dittmar, Rice’s Howard R. Hughes Provost and executive vice president for academic affairs, said in a news release. “We are building the people, places and partnerships needed to advance AI from foundational discovery to societal impact.”

Another major component of the effort is the planned 200,000-square-foot facility, The Arc, which Rice announced will break ground this fall. Rice will occupy nearly 80,000 square feet of office and laboratory space dedicated to topics including AI, data science, robotics, computational engineering and energy. The university previously announced that The Arc would be completed in Q1 2028.

The Arc will also house the AI Foundry, which is being developed as a collaborative space for industry partners, scientists and students.

“As Rice grows, we are being intentional about where we invest and how we build,” Rice President Reginald DesRoches added in the release. “By bringing together exceptional faculty, a strong interdisciplinary research community, world-class facilities and Houston’s extraordinary innovation ecosystem, Rice has an opportunity not simply to participate in the AI revolution but to help define its future.”

5 minority-founded startups shaping the future of Houston innovation

meet the finalists

Houston’s startup ecosystem reflects the diversity of the city itself.

As part of the 2026 Houston Innovation Awards, our Minority-founded Businesses category will honor an innovative Houston startup founded or co-founded by BIPOC or LGBTQ+ representation.

Five minority-founded businesses have been named finalists for the 2026 award. The finalists, selected by our esteemed panel of judges, range from an AI edtech startup to a company operating in the floating offshore energy infrastructure sector.

Read more about these innovative businesses, their initiatives, and their inspirational founders below. The 2026 winners will be announced on InnovationMap.com in mid-November.

AI Made Fun

Edtech startup AI Made Fun is working to close the gap in AI education by teaching K-12 students how to understand and responsibly use artificial intelligence. The company has developed a comprehensive AI literacy curriculum with 60 modules, animated videos, interactive activities, teacher guides and family resources. Its curriculum covers how AI works, misinformation, algorithmic bias, data privacy, online safety and academic integrity.

AI Made Fun was founded in 2025 by Devshree Golecha. It launched in classrooms this school year with five licensed schools serving more than 800 students. The company is pursuing partnerships with Houston-area school districts, including Houston ISD and Alief ISD, and has pledged free and subsidized access for underserved communities.

Deep Anchor Solutions

Offshore energy consulting and design company Deep Anchor Solutions wants to help scale floating offshore energy infrastructure by removing anchoring as a barrier. Its deeply embedded ring anchor (DERA) technology can be installed quietly without heavy-lift vessels, reducing anchor-related costs by up to 75 percent and lifecycle CO2 emissions by up to 80 percent.

The company was founded in 2023 by CEO Junho Lee and technical advisor Charles Aubeny. Lee earned his Ph.D. in geotechnical engineering from Texas A&M University, where Aubeny is a professor of civil and environmental engineering. The company has participated in numerous accelerators and incubators, including Greentown Labs, MassChallenge, EnergyTechNexus LiftOff and others. Lee was an Activate 2025 fellow.

HEXAspec

Rice University spinout HEXASpec is working to improve the sustainability and thermal conductivity of semiconductor chips. The company has developed breakthrough inorganic fillers that allow graphic processing units (GPUs) to use less water and electricity and generate less heat.

HEXASpec was founded in 2025 by CEO Tianshu Zhai, CTO Jing Zhang and chief product officer Chen-Yang Lin. It has raised $800,000 in pre-seed funding and another $1.5 million in non-dilutive grants, according to the company's application. The startup won the Liu Idea Lab for Innovation and Entrepreneurship's H. Albert Napier Rice Launch Challenge in 2024 and the 2025 Energy Venture Day and Pitch Competition during CERAWeek in the TEX-E student track in 2025. It was awarded a $500,000 National Science Foundation Partnership for Innovation grant last summer.

Prana Surgical

Health tech company Prana Surgical is developing a minimally invasive surgical platform for small, hard-to-reach lung nodules that may be cancerous. The company's Prana System cleared U.S. Food and Drug Administration (FDA) approval earlier this year.

Prana Surgical was originally founded as Prana Thoracic in 2022. It has participated in numerous accelerators, including the Texas Medical Center Innovation Accelerator in 2023 and the IGNITE Health accelerator in 2022. It raised $6 million in Series A funding rounds in 2023 and 2024 , with a Series B currently ongoing. The company said in its application that it is currently moving into the next stage of clinical validation and revenue generation in the U.S., in addition to preparing its manufacturing and commercial infrastructure for broader use.

Torres Orbital Mining Inc.

Space tech company Torres Orbital Mining is developing autonomous excavation and material preprocessing systems to move and process granular materials while reducing workers’ exposure to hazardous dust. The company is initially commercializing its technology for Earth-bound applications—including silica sand, recycled glass and mine tailings—though the technology is also designed to support future lunar mining operations. The company aims to accelerate a permanent and ethical human presence on the Moon.

CEO Luis Torres founded Torres Orbital Mining in 2025. The company is a member of Greentown Labs and has participated in accelerators like the ESRIC Space Resources Startup Program and Capital Factory All Access Fund. The company received a six-month, $225,000 SBIR Phase I contract from NASA in August.

Italian aerospace company sets up first U.S. office at Houston Spaceport

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Como, Italy-based aerospace company Involve Space recently made the Houston Spaceport the site of its first U.S. office.

Involve Space develops high-altitude balloon platforms for Earth observation, scientific research and hardware testing. The balloons carry instruments into the stratosphere (a layer of the upper atmosphere) to collect images and data, conduct experiments and test technology.

The company plans to launch its first commercial missions from Houston by the end of this year, according to a news release.

“Houston is the global center of aerospace, and our presence at Houston Spaceport strengthens our international growth trajectory,” Jonathan Polotto, founder and CEO of Involve Space, said in the release.

Founded in 2021, Involve Space incorporates aerospace hardware, AI and geospatial tools into its offerings. Its proprietary CLEAR platform uses conversational AI to help customers interpret data and support decision-making.

Located at Ellington Airport, the Houston Spaceport provides a base for Involve Space’s North American operations, including business development and partnerships with aerospace companies and researchers.

Other tenants at the Houston Spaceport include NASA, Axiom Space, Venus Aerospace and Intuitive Machines.

Involve Space’s relationship with the Houston Spaceport began in January 2025, when it conducted its first U.S. pilot launch. During the five-hour mission, the balloon reached an altitude of about 85,000 feet and traveled about 250 miles across Texas.

One of Involve Space’s first U.S. customers is Houston-based Rhodium Scientific, a space biotech company. Polotto and Rhodium Scientific founder and CEO Olivia Gamez Holzhaus signed a deal to conduct biotech experiments aboard Involve Space’s stratospheric balloon platforms before planned missions to orbit.

“The presence of innovative platforms like those developed by Involve strengthens the Spaceport’s role as a site for testing, validating, and deploying advanced technologies between aeronautics and space,” Jim Szczesniak, director of aviation for Houston Airports, added in the release.

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