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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Intuitive Machines lands $180M NASA contract for lunar delivery mission

to the moon

NASA has awarded Intuitive Machines a $180.4 million Commercial Lunar Payload Services (CLPS) award to deliver science and technology to the moon.

This is the fifth CLPS award the Houston spacetech company has received from NASA, according to a release. It will be the first mission to utilize Intuitive Machines' larger cargo lunar lander, Nova-D.

Known as IM-5, the mission is expected to deliver seven payloads to Mons Malapert, a ridge near the Lunar South Pole, which is a "compelling location for future communications, navigation, and surface infrastructure," according to the release.

“We believe our space infrastructure provides the scalability and flexibility needed to support an increased cadence of new Artemis missions and advance national objectives. This CLPS award accelerates our expansion efforts as we build, connect, and operate the systems powering that infrastructure,” Steve Altemus, CEO of Intuitive Machines, said in the release. “We look forward to working closely with NASA to deliver mission success on IM-5 and to provide sustained operations and persistent connectivity in the cislunar environment and across the solar system.”

The delivery will include the Australian Space Agency’s lunar rover, known as Roo-ver, and another lunar rover from Honeybee Robotics, a part of Jeff Bezos' Blue Origin. Intuitive Machines will also deliver chemical analysis instruments, radiation detectors and other technologies, as well as a capsule named Sanctuary that shows examples of human achievements.

Intuitive Machines previously completed its IM-1 and IM-2 missions, which put the first commercial lunar lander on the moon and achieved the southernmost lunar landing, respectively.

Its IM-3 mission is expected to deliver international payloads to the moon's Reiner Gamma this year. It’s IM-4 mission, funded by a $116.9 million CLPS award, is expected to deliver six science and technology payloads to the Moon’s South Pole in 2027.

The company also announced a $175 million equity investment to fuel growth earlier this month.

TotalEnergies exits U.S. offshore wind sector in $1B federal deal

Energy News

TotalEnergies, a French company whose U.S. headquarters is in Houston, has agreed to redirect nearly $930 million in capital from two offshore wind leases on the East Coast to oil, natural gas and liquefied natural gas (LNG) production.

In its agreement with the U.S. Department of the Interior, TotalEnergies has also promised not to develop new offshore wind projects in the U.S. “in light of national security concerns,” according to a department press release.

Federal agency hails ‘landmark agreement’

The Department of the Interior called the deal a “landmark agreement” that will steer capital “from expensive, unreliable offshore wind leases toward affordable, reliable natural gas projects that will provide secure energy for hardworking Americans.”

Renewable energy advocates object to what they believe is the Trump administration’s mischaracterization of offshore wind projects.

Under the Department of the Interior agreement, the federal government will reimburse TotalEnergies on a dollar-for-dollar basis for the leases, up to the amount that the energy company paid.

“Offshore wind is one of the most expensive, unreliable, environmentally disruptive, and subsidy-dependent schemes ever forced on American ratepayers and taxpayers,” Interior Secretary Doug Burgum said in the announcement. “We welcome TotalEnergies’ commitment to developing projects that produce dependable, affordable power to lower Americans' monthly bills while providing secure U.S. baseload power today — and in the future.”

TotalEnergies cites U.S. policy in move away from U.S. wind power

In the news release, Patrick Pouyanné, chairman and CEO of TotalEnergies, says the company was “pleased” to sign the agreement to support the Trump administration’s energy policy.

“Considering that the development of offshore wind projects is not in the country’s interest, we have decided to renounce offshore wind development in the United States, in exchange for the reimbursement of the lease fees,” Pouyanné says.

TotalEnergies redirects capital to LNG, oil, and natural gas

TotalEnergies will use the $928 million it spent on the offshore wind leases for development of a joint venture LNG plant in the Rio Grande Valley, as well as for production of upstream oil in the Gulf of Mexico and for production of shale gas.

“These investments will contribute to supplying Europe with much-needed LNG from the U.S. and provide gas for U.S. data center development. We believe this is a more efficient use of capital in the United States,” Pouyanné says.

TotalEnergies paid $133.3 million for an offshore wind lease at the Carolina Long Bay project off the coast of North Carolina and $795 million in 2022 for a lease covering a 1,545-megawatt commercial offshore wind facility off the coast of New Jersey.

“TotalEnergies’ studies on these leases have shown that offshore wind developments in the United States, unlike those in Europe, are costly and might have a negative impact on power affordability for U.S. consumers,” TotalEnergies said in a company-issued press release. “Since other technologies are available to meet the growing demand for electricity in the United States in a more affordable way, TotalEnergies considers there is no need to allocate capital to this technology in the U.S.”

Since 2022, TotalEnergies has invested nearly $12 billion to promote the development of oil, LNG, and electricity in the U.S. In 2025, TotalEnergies was the No. 1 exporter of LNG from the U.S.

Industry groups push back on offshore wind pullback

The American Clean Energy Association has pushed back on the Trump administration’s characterization of offshore wind projects.

“The offshore wind industry creates thousands of high-quality, good-paying jobs, and is revitalizing American manufacturing supply chains and U.S. shipyards,” Jason Grumet, the association’s CEO, said in December after the Trump administration paused all leases for large-scale offshore wind projects under construction in the U.S. “It is a critical component of our energy security and provides stable, domestic power that helps meet demand and keep costs low.”

Grumet added that President Trump’s “relentless attacks on offshore wind undermine his own economic agenda and needlessly harm American workers and consumers.” He called for passage of federal legislation that would prevent the White House “from picking winners and losers” in the energy sector and “placing political ideology” above Americans’ best interests.

The National Resources Defense Council offered a similar response to the offshore wind leases being paused.

“In its ongoing effort to prop up waning fossil fuels interests, the administration is taking wilder and wilder swings at the clean energy projects this economy needs,” said Pasha Feinberg, the council’s offshore wind strategist. “Investments in energy infrastructure require business certainty. This is the opposite. If the administration thinks the chilling impacts of this action are limited to the clean energy sector, it is sorely mistaken.”

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This article originally appeared on EnergyCapitalHTX.com.

Houston researcher examines how AI helps and hurts creativity

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As artificial intelligence continues to grow and seeps into spaces like art, design and writing, a Houston researcher is examining its effects on creativity.

University of Houston’s Bauer College Assistant Professor Jinghui Hou, in collaboration with scholars around the world, recently published the paper "The Double-Edged Roles of Generative AI in the Creative Process" in the journal Information Systems Research.

Through the research, the team identified two stages of creativity that AI can influence: ideation and implementation.

In one study, Hou and her team developed a lab experiment to examine the impact of a cutting-edge generative AI tool during the brainstorming or ideation phase on a group of designers with varying levels of expertise.

The study showed that nearly all designers who used generative AI during this stage improved in the creativity of their graphic design work, and that the improvements were substantial and consistent across the board.

“In the first stage, we find that for anyone, including ordinary people and expert designers, AI is very helpful because of its computational power,” Hou said in a news release. “It can go beyond the imagination that humans have. For example, if I wanted to imagine a tiger with wings, it would be hard to see that in my head, but AI can do it easily.”

However, a second study examining the implementation stage found that AI affects professionals differently than novice designers.

The study showed that novice designers continued to improve in all aspects of their work when using AI. But more expert designers did not see significant improvements in the implementation stage. Rather, expert designers who used AI spent 57 percent more time completing their work compared with their peers who did not use AI.

“In the implementation stage, we find that AI is still very helpful for those ordinary people, but it creates more work for expert designers,” Hou said in the release. “This is because the designer has years of training to materialize a piece of artwork. We find that AI uses different techniques to produce creative work. For designers, it can become burdensome to revise what AI made.”

Hou’s paper suggests that AI is most helpful in the brainstorming stage, but hopes to see generative AI developers program tailor the technology for expert-level, professional needs.

“It could give users more freedom to fit the technology to their usage pattern and workflow,” Hou added. “In a sense, it's not about people catering to the AI, but the AI technology catering to people."

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