Houston researcher develops efficient method to cool AI data centers

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Hadi Ghasemi, a University of Houston professor, has uncovered a method to release heat from data centers and electronics at record performance. Photo courtesy UH.

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

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Merab Momen, founder of AI CTO Services. Courtesy Photo

How this Houston expert helps startups turn AI hype into real impact

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Artificial intelligence is now everywhere. It is mentioned in every startup pitch deck, and every corporate roadmap claims to use it. However, many early-stage businesses struggle with the simple question, “What does AI actually mean for my business?”

In a recent podcast episode of EnergyTech Startups, Merab Momen, founder of AI CTO Services and a long time AI practitioner, explains why most founders misunderstand AI, how startups can practically apply it and why Houston is quietly becoming a serious hub for AI-driven innovation.

Filling the AI Leadership Gap

Merab’s career has spanned decades of technology transitions. He worked on neutral networks in the 1990s, constructed computer vision systems long before they were common, and helped install AI solutions inside huge industrial companies. However, he noticed a huge problem when generative AI started to explode into the mainstream-The requirement of a real partner by the founders for AI integration but inability to rely on a full-time CTO and project-based consultants.

“I really needed something which is much more engaging where I can give that partner-level advice to the founders,” he said. By giving firms on-demand access to high-level AI knowledge and expertise, his methodology enables them to analyse tools, steer clear of cost blunders and eventually transition to a permanent technology leader when the time is right.

AI is Older than Most People Think

Despite its recent rise in popularity, AI is nothing new. AI actually began in the 1950s. Merab in his conversation explained how he worked on his first AI project back in the year 1996 that worked perfectly, but the processing power wasn’t just there to make it practical. He continued how he utilized the swarm intelligence models to optimize supply chains, now referred to as MLPOs and data engineering.

From Language Models to Physical World

Much of the public conversation about AI revolves around chatbots and text generation. But Merab sees far greater potential in AI’s interaction with the physical world, especially in industrial settings. He emphasized edge computing and vision language models (VLMs) as significant advances in manufacturing and energy. This physical shift is opening doors for new opportunities for robotics, automated inspections, and industrial safety applications. Merab added that Houston is uniquely positioned for this transition.

Why Houston has an AI Advantage

Silicon Valley may dominate the AI headlines, but Merab believes Houston’s advantage lies beneath the surface. The city doesn’t lag in AI utilization; it just operates in industries where results show differently.

Machine learning isn’t new to Houston’s core industries. Energy companies, manufacturers, logistics providers, and healthcare systems have been using advanced analytics for decades. The difference lies in them innovating in industrial sectors rather than consumer technology.

What’s Next

With the AI CTO Services growing, Merab is working with startups across industries to deploy AI in practical, business-first ways.

He is more interested in assisting founders in finding answers to critical issues than following new trends.

For Houston’s energy and climate tech community, it needs to transform AI enthusiasm into real-world impact.

Listen to the full conversation with Mehrab Momin on the Energy Tech Startups Podcast to learn more.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.

A new report shows the role Texas could play as the data-center sector enters "hyperdrive." Photo via JLL.com.

Texas could topple Virginia as biggest data-center market by 2030, JLL report says

data analysis

Everything’s bigger in Texas, they say—and that phrase now applies to the state’s growing data-center presence.

A new report from commercial real estate services provider JLL says Texas could overtake Northern Virginia as the world’s largest data-center market by 2030. Northern Virginia is a longtime holder of that title.

What’s driving Texas’ increasingly larger role in the data-center market? The key factor is artificial intelligence.

Companies like Google and Microsoft need more energy-hungry data centers to power AI innovations. In a 2023 article, Forbes explained that AI models consume a lot of energy because of the massive amount of data used to train them, as well as the complexity of those models and the rising volume of tasks assigned to AI.

“The data-center sector has officially entered hyperdrive,” Andy Cvengros, executive managing director at JLL and co-leader of its U.S. data-center business, said in the report. “Record-low vacancy sustained over two consecutive years provides compelling evidence against bubble concerns, especially when nearly all our massive construction pipeline is already pre-committed by investment-grade tenants.”

Dallas-Fort Worth has long dominated the Texas data-center market. But in recent years, West Texas has emerged as a popular territory for building data-center campuses, thanks in large part to an abundance of land and energy. Nearly two-thirds of data-center construction underway now is happening in “frontier markets” like West Texas, Ohio, Tennessee and Wisconsin, the JLL report says.

Northern Virginia, the current data-center champ in the U.S., boasted a data-center market with 6,315 megawatts of capacity at the end of 2025, the report says. That compares with 2,423 megawatts in Dallas-Fort Worth, 1,700 megawatts in the Austin-San Antonio corridor, 200 megawatts in West Texas, and 164 megawatts in Houston.

Google is investing in Texas. Courtesy of Google

Google's $40B investment in Texas data centers includes energy infrastructure

The future of data

Google is investing a huge chunk of money in Texas: According to a release, the company will invest $40 billion on cloud and artificial intelligence (AI) infrastructure, with the development of new data centers in Armstrong and Haskell counties.

The company announced its intentions at a meeting on November 14 attended by federal, state, and local leaders including Gov. Greg Abbott who called it "a Texas-sized investment."

Google will open two new data center campuses in Haskell County and a data center campus in Armstrong County.

Additionally, the first building at the company’s Red Oak campus in Ellis County is now operational. Google is continuing to invest in its existing Midlothian campus and Dallas cloud region, which are part of the company’s global network of 42 cloud regions that deliver high-performance, low-latency services that businesses and organizations use to build and scale their own AI-powered solutions.

Energy demands

Google is committed to responsibly growing its infrastructure by bringing new energy resources onto the grid, paying for costs associated with its operations, and supporting community energy efficiency initiatives.

One of the new Haskell data centers will be co-located with — or built directly alongside — a new solar and battery energy storage plant, creating the first industrial park to be developed through Google’s partnership with Intersect and TPG Rise Climate announced last year.

Google has contracted to add more than 6,200 megawatts (MW) of net new energy generation and capacity to the Texas electricity grid through power purchase agreements (PPAs) with energy developers such as AES Corporation, Enel North America, Intersect, Clearway, ENGIE, SB Energy, Ørsted, and X-Elio.

Water demands

Google’s three new facilities in Armstrong and Haskell counties will use air-cooling technology, limiting water use to site operations like kitchens. The company is also contributing $2.6 million to help Texas Water Trade create and enhance up to 1,000 acres of wetlands along the Trinity-San Jacinto Estuary. Google is also sponsoring a regenerative agriculture program with Indigo Ag in the Dallas-Fort Worth area and an irrigation efficiency project with N-Drip in the Texas High Plains.

In addition to the data centers, Google is committing $7 million in grants to support AI-related initiatives in healthcare, energy, and education across the state. This includes helping CareMessage enhance rural healthcare access; enabling the University of Texas at Austin and Texas Tech University to address energy challenges that will arise with AI, and expanding AI training for Texas educators and students through support to Houston City College.

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This article originally appeared on CultureMap.com.

Deloitte predicts AI will represent 57 percent of IT spending by U.S. oil and gas companies in 2029. Photo via Unsplash.

Energy sector AI spending is set to soar to $13B, report says

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Get ready for a massive increase in the amount of AI spending by oil and gas companies in the Houston area and around the country.

A new report from professional services firm Deloitte predicts AI will represent 57 percent of IT spending by U.S. oil and gas companies in 2029. That’s up from the estimated share of 23 percent in 2025.

According to the analysis, the amount of AI spending in the oil and gas industry will jump from an estimated $4 billion in 2025 to an estimated $13.4 billion in 2029—an increase of 235 percent.

Almost half of AI spending by U.S. oil and gas companies targets process optimization, according to Deloitte’s analysis of data from market research companies IDC and Gartner. “AI-driven analytics adjust drilling parameters and production rates in real time, improving yield and decision-making,” says the Deloitte report.

Other uses for AI in the oil and gas industry cited by Deloitte include:

Integrating infrastructure used by shale producers
Monitoring pipelines, drilling platforms, refineries, and other assets
Upskilling workers through AI-powered platforms
Connecting workers on offshore rigs via high-speed, real-time internet access supplied by satellites
Detecting and reporting leaks

The report says a new generation of technology, including AI and real-time analytics, is transforming office and on-site operations at oil and gas companies. The Trump administration’s “focus on AI innovation through supportive policies and investments could further accelerate large-scale adoption and digital transformation,” the report adds.

Chevron and ExxonMobil, the two biggest oil and gas companies based in the Houston area, continue to dive deeper into AI.

Chevron is taking advantage of AI to squeeze more insights from enormous datasets, VentureBeat reported.

“AI is a perfect match for the established, large-scale enterprise with huge datasets—that is exactly the tool we need,” Bill Braun, the company’s now-retired chief information officer, said at a VentureBeat event in May.

Meanwhile, AI enables ExxonMobil to conduct autonomous drilling in the waters off the coast of Guyana. ExxonMobil says its proprietary system improves drilling safety, boosts efficiency, and eliminates repetitive tasks performed by rig workers.

ExxonMobil is also relying on AI to help cut $15 billion in operating costs by 2027.

“There is a concerted effort to make sure that we’re really working hard to apply that new technology … to drive effectiveness and efficiency,” Darren Woods, executive chairman and CEO of ExxonMobil, said during a 2024 earnings call.

ExxonMobil is on Fortune's first-ever AIQ ranking. Getty Images

2 Houston energy giants appear on Fortune’s inaugural AI ranking

AI Leaders

Two Houston-area energy leaders appear on Fortune’s inaugural list of the top adopters of AI among Fortune 500 companies.

They are:

No. 7 energy company ExxonMobil, based in Spring
No. 47 energy company Chevron, based in Houston

They are joined by Spring-based tech company Hewlett Packard Enterprise, No. `19.

All three companies have taken a big dive into the AI pool.

In 2024, ExxonMobil’s executive chairman and CEO, Darren Woods, explained that AI would play a key role in achieving a $15 billion reduction in operating costs by 2027.

“There is a concerted effort to make sure that we're really working hard to apply that new technology to the opportunity set within the company to drive effectiveness and efficiency,” Woods told Wall Street analysts.

At Chevron, AI tools are being used to quickly analyze data and extract insights from it, according to tech news website VentureBeat. Also, Chevron employs advanced AI systems known as large language models (LLMs) to create engineering standards, specifications and safety alerts. AI is even being put to work in Chevron’s exploration initiatives.

Bill Braun, Chevron’s chief information officer, said at a VentureBeat-sponsored event in 2024 that AI-savvy data scientists, or “digital scholars,” are always embedded within workplace teams “to act as a catalyst for working differently.”

The Fortune AIQ 50 ranking is based on ServiceNow’s Enterprise AI Maturity Index, an annual measurement of how prepared organizations are to adopt and scale AI. To evaluate how Fortune 500 companies are rolling out AI and how much they value AI investments, Fortune teamed up with Enterprise Technology Research. The results went into computing an AIQ score for each company.

At the top of the ranking is Alphabet (owner of Google and YouTube), followed by Visa, JPMorgan Chase, Nvidia and Mastercard. Aside from ExxonMobil, Hewlett Packard Enterprise, and Chevron, two other Texas companies made the list: Arlington-based homebuilder D.R. Horton (No. 29) and Austin-based software company Oracle (No. 37).

“The Fortune AIQ 50 demonstrates how companies across industry sectors are beginning to find real value from the deployment of AI technology,” Jeremy Kahn, Fortune’s AI editor, said in a news release. “Clearly, some sectors, such as tech and finance, are pulling ahead of others, but even in so-called 'old economy' industries like mining and transport, there are a few companies that are pulling away from their peers in the successful use of AI.

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This article originally appeared on InnovationMap.com.

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Houston climatech startup raises $29M funding round

fresh funding

Houston-based NanoTech Materials has closed a $29.4 million Series A.

The round was led by Austin-based HPI Real Estate & Investments. Houston-based Goose Capital and Austin-based Milliken & Company also participated.

Nanotech has developed its patented Insulative Ceramic Particle (ICP) technology, which reduces heat transfer in buildings and outdoor infrastructure, improving efficiency and safety. It's known for its Cool Roof Coat, Wildfire Shield and Insulative Coat: Cool Touch product lines.

With the new funding, Nanotech plans to scale operations and expand its market reach for its products.

“We’re addressing one of the pressing and urgent challenges facing infrastructure owners today: controlling energy costs and extending asset life,” Mike Francis, CEO and co-founder of NanoTech Materials, said in a news release. “This financing marks a transformative moment for us. It allows us to rapidly scale production and bring our high-performance materials to market faster, while delivering measurable cost savings and redefining what resilience looks like in today’s built environment.”

Nanotech launched in 2020 and was the first company selected for Halliburton Labs. It moved into a 43,000-square-foot space in Katy in 2023. It brought on new partners that expanded the company's reach in the Middle East and Singapore the following year. Its technology was recognized as one of Time magazine's 200 Best Inventions of 2024.

“We were early investors in Nanotech Materials and are pleased to continue supporting the company as it becomes a leader in breakthrough materials science and technology,” John Chaney, investor at Goose Capital and board member at NanoTech, added in the release. “NanoTech’s ability to elevate fire resilience and energy efficiency in the built environment is critical for strengthening and hardening infrastructure. Its pioneered approach is transforming current building standards and making our lives safer.”

The company has secured $34.4 million in total to date, according to the release. It raised an oversubscribed funding round in 2023 and a $5 million seed round in 2020.

Houston clean energy startup acquired by battery storage company FlexGen

m&a activity

A North Carolina company has acquired Houston-based Clean Energy Services, a provider of services for battery energy storage systems and utility-scale solar, for an undisclosed amount.

The buyer is Durham, North Carolina-based FlexGen Power Systems, a provider of battery energy storage software and services.

Clean Energy Services (CES), whose offices are at the Ion, will operate as a subsidiary of FlexGen. Existing CES customers will continue to receive services from CES without disruption or change, FlexGen says.

“Demand for reliable, high-performance power is accelerating, and customers need partners who can deliver at scale,” Kelcy Pegler, CEO of FlexGen, said in a news release. “The addition of CES strengthens our service platform and reinforces our leadership in energy storage technology.”

Ahmad Atwan and Constantine Triantafyllides co-founded CES in 2022. As a startup, CES had raised $8 million in venture capital, according to PitchBook.

“CES has achieved a market leadership position in battery storage services by focusing on reliable speed of service delivery and optimizing asset performance,” Atwan, the company’s CEO, added the release. “FlexGen and CES have been strong partners for years, and this transaction enables us to deliver more robust solutions across a complementary set of customers and markets.”

CES will continue to operate its remote operations center in Houston for over 1 gigawatt of solar assets and 4.5 gigawatt-hours of battery assets, while FlexGen will maintain its remote operations center in Durham.

Halliburton Labs names 4 new clean energy startups to incubator

green team

Four new companies have joined Halliburton Labs, the incubator for early-stage energy and climate startups run by Houston energy giant Halliburton.

Halliburton Labs provides the emerging companies with mentorship, industry connections, laboratory access and other resources as they work toward commercialization, according to a news release.

The four new members include:

Nandina REM, a Singapore-based company that delivers carbon fiber thermoplastics. It turns end-of-life assets into new, reliable, high-performance materials for the aviation, aerospace and defense industries in a fraction of the time of standard supply chains.
Noon Energy, a California-based company that delivers clean, reliable electricity with ultra-long duration energy storage. Its system uses solid oxide electrochemical cells and stores energy as abundant, flexible industrial gases.
Proof Energy, a Silicon Valley-based company developed by the Lawrence Berkeley National Laboratory that is commercializing next-generation metallic solid oxide fuel cell (M-SOFC) technology. Its system uses widely available fuels such as ethanol, methanol, ammonia, and natural gas as hydrogen carriers to enable lower-cost, low-emission commercial transportation, and also offers a zero-emission heating solution to preserve battery range in electric vehicles.
Tidal Metals, a New Jersey-based company that has developed technology to economically make decarbonized magnesium metal from seawater and electricity.

"Halliburton Labs exemplifies our commitment to advance a secure and pragmatic energy future," Jeff Miller, chairman, president and CEO of Halliburton, said in the news release. "We welcome these companies into our ecosystem, where they will gain access to the tools, expertise, and connections needed to scale their technologies."

Auckland-based Aquafortus Technologies and California-based Sunchem joined Halliburton Labs in September. With the addition of the four new members, the incubator currently supports six early-stage companies.

Read more about the incubator's 2025 cohort here.

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