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 ranks No. 2 for share of AI talent in professional services

AI surge

Houston’s professional and business services sector—think law, accounting, consulting, and engineering firms—grabs one of the industry’s biggest shares of AI talent.

A report from commercial real estate services giant CBRE ranks Houston No. 2 among the top 50 U.S. and Canadian tech markets for the concentration of AI talent in professional and business services.

Houston’s share of AI talent in professional and business services stands at 26 percent, the report shows. Washington, D.C., tops the list at 31 percent. At 25 percent, Dallas-Fort Worth claims the No. 3 spot.

CBRE based the AI ranking on data from the LinkedIn networking platform.

The company’s researchers tallied 11,709 AI-related tech jobs in Houston. Nationwide, data scientists lead AI-related job growth in the U.S., according to the report.

“AI software and hardware developers are currently the most sought-after tech talent by employers,” the report says.

Houston faces AI talent gap

DoubleTrack, a provider of AI and data consulting, reported in June that Houston faces an AI talent gap.

“The places where businesses say they will adopt AI over the next six months, well ahead of where they are today, are mostly the same places already short on talent: Miami, Houston, and Denver among the metros, South Dakota and South Carolina among the states,” DoubleTrack said.

This labor shortage comes amid Houston’s ascent as an AI hub. For instance, a factory being built here by AI chipmaker NVIDIA and electronics manufacturer Foxconn will produce AI supercomputers and infrastructure systems.

Houston’s place in the sphere of tech talent

Overall, Houston ranks No. 32 in the CBRE report among the top 50 U.S. and Canadian markets for tech talent. The San Francisco Bay Area claims the top spot, with Austin at No. 5 and DFW at No. 8.

CBRE relied on 13 metrics to rank tech talent markets, including concentration of tech talent, tech talent pipeline, and research-and-development investments.

Here are other Houston details from the report:

In 2025, Houston’s tech talent workforce numbered 104,080, up 7.3 percent over the past three years.
Houston’s average wage for tech talent within the tech industry was $120,216 in 2025, up 13.3 percent over the past three years.

New pilot program for air taxis, Project Nexus, takes flight in Texas

Project Nexus

By 2029, Texas skies could be buzzing with air taxis, much like they are with drones today.

To kick off the "Project Nexus" pilot program in Texas, U.S. Transportation Secretary Sean Duffy, U.S. Sen. Ted Cruz, and Texas Department of Transportation officials attended an event September 10 at Fort Worth Alliance Airport, which serves as the launchpad for a statewide pilot program that could result in air taxis, self-piloted planes, and vertical take-off-and-landing aircraft permanently buzzing across the skies of Texas.

It was the first demonstration in Texas of next-generation aircraft under the pilot program; Texas is the sixth state to participate in the program.

Air taxi service on the radar
The federal government has teamed up with aviation companies BETA Technologies and Joby Aviation, as well as the Texas Department of Transportation, to develop regional air taxi service in Dallas, Austin, San Antonio, and eventually Houston.

Roger Venables, Fort Worth’s aviation director, said in January that he foresees regular air taxi service becoming a reality in the next five years.

On September 12, a Joby-made electric air taxi took a roundtrip flight between Fort Worth Alliance and Dallas Fort Worth International Airport to test flight operations.

The mission was part of a five-day test involving Fort Worth Alliance and DFW Airport flights, and flights over the Fort Worth Stockyards, Toyota Motor North America’s Plano headquarters, and other sites.

A new facility at Fort Worth Alliance will be Joby’s long-term home for regional flight operations.

Building a 'framework' for electric aircraft
TxDOT said Project Nexus is aimed at creating “a scalable system” to connect urban areas, rural communities, and neighboring states as air mobility technology advances.

In a TxDOT release, Marc Williams, the agency’s executive director, said the pilot program will “build a framework for how electric aircraft could one day connect people, goods, and communities across the state.”

Three-phase project will test flight capabilities

Initial flights in the third-year pilot program won’t carry passengers, according to TxDOT. Instead, the flights will gather data, validate air travel routes, and help improve the safety of air mobility technology.

The first phase of the U.S. Department of Transportation’s Project Nexus will feature piloted aircraft such as helicopters and fixed-wing planes. CultureMap previously reported Plano-based VertiPorts by Atlantic, which develops takeoff and landing sites for airplane-helicopter hybrids, would be part of Project Nexus.

The second phase will involve testing airborne medical and cargo logistics. This includes transporting critical medical supplies or donor organs between rural and urban hospitals in the Austin and San Antonio areas.

In the third and final phase, passengers will fly aboard air taxis across the Texas Triangle. Dallas-Fort Worth, Austin, Houston, and San Antonio anchor the triangle.

“In Texas, we don’t wait for the future to arrive, we build it,” Cruz said in the TxDOT release. “The Lone Star State is pushing the boundaries by testing the next generation of aircraft through Project Nexus.”

“These technologies will connect communities, expand access to jobs and services, and strengthen supply chains,” the senator added. “What starts in Texas will help shape the future of aviation throughout the entire country.”

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This article originally appeared on CultureMap.com.

Houston-area NASA contractor plans Nasdaq IPO

going public

Webster-based NASA contractor Rothe Development Inc. has filed paperwork with the U.S. Securities and Exchange Commission to go public.

Rothe, a minority- and woman-owned business, hasn’t yet identified how many shares it will sell and how much money its IPO might raise. Rothe plans to offer Class B common stock on the Nasdaq exchange.

CEO Karen Wheeler-Hall owns all of the Class A shares and would retain majority control after the IPO, according to the SEC filing. The company plans to use $2.4 million of the IPO proceeds so Wheeler-Hall can pay off a loan from the seller for her 2021 acquisition of Rothe.

From last December to this May, the company raised about $2.1 million in a pre-IPO private placement at $1 per share, the SEC filing shows.

Rothe runs NASA training lab in Houston

Founded in 1967, Rothe supplies engineering, technology, operations and technical services to NASA, the U.S. Department of Defense, other federal agencies, commercial space operators, and regulated industries.

Rothe is likely best known for operating NASA’s Neutral Buoyancy Laboratory in Houston. The lab trains astronauts for spacewalks and simulates space missions. It supports NASA’s International Space Station and Artemis programs.

Company sees room for growth

In the SEC filing, Rothe said it operates in several expanding markets driven by rising investments, including space exploration, national security, cybersecurity and digital infrastructure.

“We believe these market trends create significant opportunities for continued growth across both government and commercial sectors,” the company said.

Rothe generated nearly $126.4 million in revenue last year, up from $117.3 million the previous year. However, the company swung to a $700,000 operating loss in 2025 versus $1.8 million in operating income in 2024.

At the end of 2025, Rothe’s workforce comprised 385 employees and 25 subcontractors. The company also works in the cybersecurity, computer engineering, software development, multimedia and communication, and commercial calibration sectors, according to its website.

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