Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

University of Houston professor Xiaonan Shan and the rest of his research team are celebrating fresh funding from a federal grant. Photo via UH.edu

Houston scientists land $1M NSF funding for AI-powered clean energy project

A team of scientists from the University of Houston, in collaboration with Howard University in Washington D.C., has received a $1 million award from the National Science Foundation for a project that aims to automate the discovery of new clean-energy catalysts.

The project, dubbed "Multidisciplinary High-Performance Computing and Artificial Intelligence Enabled Catalyst Design for Micro-Plasma Technologies in Clean Energy Transition," aims to use machine learning and AI to improve the efficiency of catalysts in hydrogen generation, carbon capture and energy storage, according to UH.

“This research directly contributes to these global challenges,” Jiefu Chen, the principal investigator of the project and associate professor of electrical and computer engineering, said in a statement. “This interdisciplinary effort ensures comprehensive and innovative solutions to complex problems.”

Chen is joined by Lars Grabow, professor of chemical and biomolecular engineering; Xiaonan Shan, associate professor of electrical and computing engineering; and Xuquing Wu, associate professor of information science technology. Su Yan, an associate professor of electrical engineering and computer science at Howard University, is collaborating on the project.

The University of Houston team: Xiaonan Shan, associate professor electrical and computing engineering, Jiefu Chen, associate professor of electrical and computer engineering, Lars Grabow, professor of chemical and biomolecular engineering, and Xuquing Wu, associate professor of information science technology. Photo via UH.edu

The team will create a robotic synthesis and testing facility that will automate the experimental testing and verification process of the catalyst design process, which traditionally is slow-going. It will implement AI and advanced, unsupervised machine learning techniques, and have a special focus on plasma reactions.

The project has four main focuses, according to UH.

  1. Using machine learning to discover materials for plasma-assisted catalytic reactions
  2. Developing a model to simulate complex interactions to better understand microwave-plasma-assisted heating
  3. Designing catalysts supports for efficient microwave-assisted reactions
  4. Developing a bench scale reactor to demonstrate the efficiency of the catalysts support system

Additionally, the team will put the funding toward the development of a multidisciplinary research and education program that will train students on using machine learning for topics like computational catalysis, applied electromagnetics and material synthesis. The team is also looking to partner with industry on related projects.

“This project will help create a knowledgeable and skilled workforce capable of addressing critical challenges in the clean energy transition,” Grabow added in a statement. “Moreover, this interdisciplinary project is going to be transformative in that it advances insights and knowledge that will lead to tangible economic impact in the not-too-far future.”

This spring, UH launched a new micro-credential course focused on other applications for AI and robotics in the energy industry.

Around the same time, Microsoft's famous renowned co-founder Bill Gates spoke at CERAWeek to a standing-room-only crowd on the future of the industry. Also founder of Breakthrough Energy, Gates addressed the topic of AI.

ExxonMobil and Intel are working to design, test, research and develop new liquid cooling technologies to optimize data center performance and help customers meet their sustainability goals. Photo via Getty Images

ExxonMobil, Intel eye sustainable solutions within data center innovation

the view from heti

Two multinational corporations have announced a new collaboration to create energy-efficient and sustainable solutions for data centers as the market experiences significant growth.

ExxonMobil and Intel are working to design, test, research and develop new liquid cooling technologies to optimize data center performance and help customers meet their sustainability goals. Liquid cooling solutions serve as an alternative to traditional air-cooling methods in data centers.

“Our partnership with ExxonMobil to co-develop turnkey solutions for liquid cooling will enable significant energy and water savings for data center and network deployments,” said Jen Huffstetler, Chief Product Sustainability Officer, Intel.

According to consulting firm McKinsey, “a hyperscaler’s data center can use as much power as 80,000 households do,” and that demand is expected to keep surging. Power consumption by the U.S. data center market is forecasted “to reach 35 gigawatts (GW) by 2030, up from 17 GW in 2022,” according to a McKinsey analysis. Artificial intelligence and machine learning, and other advanced computing techniques are increasing computational workloads, and in return, increasing electricity demand. Therefore, companies are searching for solutions to support this growth.

ExxonMobil launched its full portfolio of data center immersion fluid products last year. The partnership with Intel will allow them to further advance their efforts in this market.

“By integrating ExxonMobil’s proven expertise in liquid cooling technologies with Intel’s long legacy of industry leadership in world-changing computing technologies, together we will further the industry’s adoption and acceptance as it transitions to liquid cooling technologies,” said Sarah Horne, Vice President, ExxonMobil.

Learn more about this collaboration here.

———

This article originally ran on the Greater Houston Partnership's Houston Energy Transition Initiative blog. HETI exists to support Houston's future as an energy leader. For more information about the Houston Energy Transition Initiative, EnergyCapitalHTX's presenting sponsor, visit htxenergytransition.org.

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 wins competitive NSF award for work tying machine learning to the power grid

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.
The new course will provide participants with insights on how to use robotics to enhance efficiency in data collection, AI data analysis tools for industry, risk management with AI, and more. Photo courtesy of UH

Houston university launches latest micro-credential course focused on AI, robotics for the energy industry

coming soon

The University of Houston will launch its latest micro-credential course next month that focuses on how AI and robotics can be used in inspection processes for the energy industry.

Running from March 22 through April 22, the course is open to "engineers, technicians and industry professionals with advanced knowledge in the dynamic fields of robotics and AI," according to a statement from UH. It will combine weekly online lectures and in-person hands-on demonstrations and provide participants with insights on how to use robotics to enhance efficiency in data collection, AI data analysis tools for industry, risk management with AI, and more.

“By blending theoretical knowledge with practical applications and hands-on experience, the course aims to empower participants with the skills needed to evaluate and adopt these advanced technologies to address real-world challenges in asset management,” Vedhus Hoskere, assistant professor at the UH Cullen College of Engineering, said in a statement. “We hope that upskilling and knowledge gained from this course will help accelerate the adoption of AI and robotics and contribute to the advancement of safer and more resource-efficient energy infrastructure systems.”

Hoskere will teach the course module titled “Computer Vision and Deep Learning for Inspections.” He also recently received a $500,000 grant from the Texas Department of Transportation (TxDOT) to look at how to use drones, cameras, sensors and AI to support Texas' bridge maintenance programs.

Other leaders of the UH Energy course will include:

  • Kimberley Hayes, founder of Valkim Technologies: Lead speaker who will provide an overview and introduction of AI applications, standards and certification
  • Gangbing Song, Moores Professor of Mechanical Engineering at UH: Machine learning hands-on exercises
  • Pete Peterson, head of product management and marketing with XaaS Lab: Computer vision technology in the oil and gas industry
  • Matthew Alberts, head of project management with Future Technologies Venture Venture LLC: Use cases, workflow and optimizing inspections with AI and drones
  • Suchet Bargoti, chief technology officer at Abyss Solutions: AI and robots for integrity management.

Registration accepted up to the first day of the course and can be completed online.

The world can't keep on with what it's doing and expect to reach its goals when it comes to climate change. Radical innovations are needed at this point, writes Scott Nyquist. Photo via Getty Images

Only radical innovation can get the world to its climate goals, says this Houston expert

guest column

Almost 3 years ago, McKinsey published a report arguing that limiting global temperature rises to 1.5 degrees Celsius above pre-industrial levels was “technically achievable,” but that the “math is daunting.” Indeed, when the 1.5°C figure was agreed to at the 2015 Paris climate conference, the assumption was that emissions would peak before 2025, and then fall 43 percent by 2030.

Given that 2022 saw the highest emissions ever—36.8 gigatons—the math is now more daunting still: cuts would need to be greater, and faster, than envisioned in Paris. Perhaps that is why the Intergovernmental Panel on Climate Change (IPCC) noted March 20 (with “high confidence”) that it was “likely that warming will exceed 1.5°C during the 21st century.”

I agree with that gloomy assessment. Given the rate of progress so far, 1.5°C looks all but impossible. That puts me in the company of people like Bill Gates; the Economist; the Australian Academy of Science, and apparently many IPCC scientists. McKinsey has estimated that even if all countries deliver on their net zero commitments, temperatures will likely be 1.7°C higher in 2100.

In October, the UN Environment Program argued that there was “no credible pathway to 1.5°C in place” and called for “an urgent system-wide transformation” to change the trajectory. Among the changes it considers necessary: carbon taxes, land use reform, dietary changes in which individuals “consume food for environmental sustainability and carbon reduction,” investment of $4 trillion to $6 trillion a year; applying current technology to all new buildings; no new fossil fuel infrastructure. And so on.

Let’s assume that the UNEP is right. What are the chances of all this happening in the next few years? Or, indeed, any of it? President Obama’s former science adviser, Daniel Schrag, put it this way: “ Who believes that we can halve global emissions by 2030?... It’s so far from reality that it’s kind of absurd.”

Having a goal is useful, concentrating minds and organizing effort. And I think that has been the case with 1.5°C, or recent commitments to get to net zero. Targets create a sense of urgency that has led to real progress on decarbonization.

The 2020 McKinsey report set out how to get on the 1.5°C pathway, and was careful to note that this was not a description of probability or reality but “a picture of a world that could be.” Three years later, that “world that could be” looks even more remote.

Consider the United States, the world’s second-largest emitter. In 2021, 79 percent of primary energy demand (see chart) was met by fossil fuels, about the same as a decade before. Globally, the figures are similar, with renewables accounting for just 12.5 percent of consumption and low-emissions nuclear another 4 percent. Those numbers would have to basically reverse in the next decade or so to get on track. I don’t see how that can happen.

No alt text provided for this image

Credit: Energy Information Administration

But even if 1.5°C is improbable in the short term, that doesn’t mean that missing the target won’t have consequences. And it certainly doesn’t mean giving up on addressing climate change. And in fact, there are some positive trends. Many companies are developing comprehensive plans for achieving net-zero emissions and are making those plans part of their long-term strategy. Moreover, while global emissions grew 0.9 percent in 2022, that was much less than GDP growth (3.2 percent). It’s worth noting, too, that much of the increase came from switching from gas to coal in response to the Russian invasion of Ukraine; that is the kind of supply shock that can be reversed. The point is that growth and emissions no longer move in lockstep; rather the opposite. That is critical because poorer countries are never going to take serious climate action if they believe it threatens their future prosperity.

Another implication is that limiting emissions means addressing the use of fossil fuels. As noted, even with the substantial rise in the use of renewables, coal, gas, and oil are still the core of the global energy system. They cannot be wished away. Perhaps it is time to think differently—that is, making fossil fuels more emissions efficient, by using carbon capture or other technologies; cutting methane emissions; and electrifying oil and gas operations. This is not popular among many climate advocates, who would prefer to see fossil fuels “stay in the ground.” That just isn’t happening. The much likelier scenario is that they are gradually displaced. McKinsey projects peak oil demand later this decade, for example, and for gas, maybe sometime in the late 2030s. Even after the peak, though, oil and gas will still be important for decades.

Second, in the longer term, it may be possible to get back onto 1.5°C if, in addition to reducing emissions, we actually remove them from the atmosphere, in the form of “negative emissions,” such as direct air capture and bioenergy with carbon capture and storage in power and heavy industry. The IPCC itself assumed negative emissions would play a major role in reaching the 1.5°C target; in fact, because of cost and deployment problems, it’s been tiny.

Finally, as I have argued before, it’s hard to see how we limit warming even to 2°C without more nuclear power, which can provide low-emissions energy 24/7, and is the largest single source of such power right now.

None of these things is particularly popular; none get the publicity of things like a cool new electric truck or an offshore wind farm (of which two are operating now in the United States, generating enough power for about 20,000 homes; another 40 are in development). And we cannot assume fast development of offshore wind. NIMBY concerns have already derailed some high-profile projects, and are also emerging in regard to land-based wind farms.

Carbon capture, negative emissions, and nuclear will have to face NIMBY, too. But they all have the potential to move the needle on emissions. Think of the potential if fast-growing India and China, for example, were to develop an assembly line of small nuclear reactors. Of course, the economics have to make sense—something that is true for all climate-change technologies.

And as the UN points out, there needs to be progress on other issues, such as food, buildings, and finance. I don’t think we can assume that such progress will happen on a massive scale in the next few years; the actual record since Paris demonstrates the opposite. That is troubling: the IPCC notes that the risks of abrupt and damaging impacts, such as flooding and crop yields, rise “with every increment of global warming.” But it is the reality.

There is one way to get us to 1.5°C, although not in the Paris timeframe: a radical acceleration of innovation. The approaches being scaled now, such as wind, solar, and batteries, are the same ideas that were being discussed 30 years ago. We are benefiting from long-term, incremental improvements, not disruptive innovation. To move the ball down the field quickly, though, we need to complete a Hail Mary pass.

It’s a long shot. But we’re entering an era of accelerated innovation, driven by advanced computing, artificial intelligence, and machine learning that could narrow the odds. For example, could carbon nanotubes displace demand for high-emissions steel? Might it be possible to store carbon deep in the ocean? Could geo-engineering bend the curve?

I believe that, on the whole, the world is serious about climate change. I am certain that the energy transition is happening. But I don’t think we are anywhere near to being on track to hit the 1.5°C target. And I don’t see how doing more of the same will get us there.

------

Scott Nyquist is a senior advisor at McKinsey & Company and vice chairman, Houston Energy Transition Initiative of the Greater Houston Partnership. The views expressed herein are Nyquist's own and not those of McKinsey & Company or of the Greater Houston Partnership. This article originally ran on LinkedIn.

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10+ exciting energy breakthroughs made by Houston teams in 2025

Year In Review

Editor's note: As 2025 comes to a close, we're revisiting the biggest headlines and major milestones of the energy sector this year. Here are the most exciting scientific breakthroughs made by Houstonians this year that are poised to shape the future of energy:

Rice University team develops eco-friendly method to destroy 'forever chemicals' in water

Rice University researchers have developed a new method for removing PFAS from water that works 100 times faster than traditional filters. Photo via Rice University.

Rice University researchers have teamed up with South Korean scientists to develop the first eco-friendly technology that captures and destroys toxic “forever chemicals,” or PFAS, in water. The Rice-led study centered on a layered double hydroxide (LDH) material made from copper and aluminum that could rapidly capture PFAS and be used to destroy the chemicals.

UH researchers make breakthrough in cutting carbon capture costs

UH carbon capture cost cutting

A team from UH has published two breakthrough studies that could help cut costs and boost efficiency in carbon capture. Photo courtesy UH.

A team of researchers at the University of Houston has made two breakthroughs in addressing climate change and potentially reducing the cost of capturing harmful emissions from power plants. Led by Professor Mim Rahimi at UH’s Cullen College of Engineering, the team first introduced a membraneless electrochemical process that cuts energy requirements and costs for amine-based carbon dioxide capture during the acid gas sweetening process.The second breakthrough displayed a reversible flow battery architecture that absorbs CO2 during charging and releases it upon discharge.

Houston team’s discovery brings solid-state batteries closer to EV use

Houston researchers have uncovered why solid-state batteries break down and what could be done to slow the process. Photo via Getty Images.

A team of researchers from the University of Houston, Rice University and Brown University has uncovered new findings that could extend battery life and potentially change the electric vehicle landscape. Their work deployed a powerful, high-resolution imaging technique known as operando scanning electron microscopy to better understand why solid-state batteries break down and what could be done to slow the process.

Houston researchers make breakthrough on electricity-generating bacteria

A team of Rice researchers, including Caroline Ajo-Franklin and Biki Bapi Kundu, has uncovered how certain bacteria breathe by generating electricity. Photo by Jeff Fitlow/Rice University.

Research from Rice University that merges biology with electrochemistry has uncovered new findings on how some bacteria generate electricity. Research showed how some bacteria use compounds called naphthoquinones, rather than oxygen, to transfer electrons to external surfaces in a process known as extracellular respiration. In other words, the bacteria are exhale electricity as they breathe. This process has been observed by scientists for years, but the Rice team's deeper understanding of its mechanism is a major breakthrough, with implications for the clean energy and industrial biotechnology sectors, according to the university.

Rice researchers' quantum breakthrough could pave the way for next-gen superconductors

Researchers from Rice University say their recent findings could revolutionize power grids, making energy transmission more efficient. Image via Getty Images.

A study from researchers at Rice University could lead to future advances in superconductors with the potential to transform energy use. The study revealed that electrons in strange metals, which exhibit unusual resistance to electricity and behave strangely at low temperatures, become more entangled at a specific tipping point, shedding new light on these materials. The materials share a close connection with high-temperature superconductors, which have the potential to transmit electricity without energy loss, according to the researchers. By unblocking their properties, researchers believe this could revolutionize power grids and make energy transmission more efficient.

UH researchers develop breakthrough material to boost efficiency of sodium-ion batteries

A team at the University of Houston is changing the game for sodium-ion batteries. Photo via Getty Images

A research lab at the University of Houston developed a new type of material for sodium-ion batteries that could make them more efficient and boost their energy performance. The Canepa Research Laboratory is working on a new material called sodium vanadium phosphate, which improves sodium-ion battery performance by increasing the energy density. This material brings sodium technology closer to competing with lithium-ion batteries, according to the researchers.

Houston researchers make headway on developing low-cost sodium-ion batteries

Houston researchers make headway on developing low-cost sodium-ion batteries

Rice's Atin Pramanik and a team in Pulickel Ajayan's lab shared new findings that offer a sustainable alternative to lithium batteries by enhancing sodium and potassium ion storage. Photo by Jeff Fitlow/Courtesy Rice University

A new study by researchers from Rice University’s Department of Materials Science and NanoEngineering, Baylor University and the Indian Institute of Science Education and Research Thiruvananthapuram has introduced a solution that could help develop more affordable and sustainable sodium-ion batteries. The team worked with tiny cone- and disc-shaped carbon materials from oil and gas industry byproducts with a pure graphitic structure. The forms allow for more efficient energy storage with larger sodium and potassium ions, which is a challenge for anodes in battery research. Sodium and potassium are more widely available and cheaper than lithium.

Houston scientists develop 'recharge-to-recycle' reactor for lithium-ion batteries

Rice University scientists' “recharge-to-recycle” reactor has major implications for the electric vehicle sector. Photo courtesy Jorge Vidal/Rice University.

Engineers at Rice University have developed a cleaner, innovative process to turn end-of-life lithium-ion battery waste into new lithium feedstock. The findings demonstrate how the team’s new “recharge-to-recycle” reactor recharges the battery’s waste cathode materials to coax out lithium ions into water. The team was then able to form high-purity lithium hydroxide, which was clean enough to feed directly back into battery manufacturing. The study has major implications for the electric vehicle sector, which significantly contributes to the waste stream from end-of-life battery packs.

Houston researchers develop strong biomaterial that could replace plastic

A team led by M.A.S.R. Saadi and Muhammad Maksud Rahman has developed a biomaterial that they hope could be used for the “next disposable water bottle." Photo courtesy Rice University.

Collaborators from two Houston universities are leading the way in engineering a biomaterial into a scalable, multifunctional material that could potentially replace plastic. The study introduced a biosynthesis technique that aligns bacterial cellulose fibers in real-time, which resulted in robust biopolymer sheets with “exceptional mechanical properties.” Ultimately, the scientists hope this discovery could be used for the “next disposable water bottle,” which would be made by biodegradable biopolymers in bacterial cellulose, an abundant resource on Earth. Additionally, the team sees applications for the materials in the packaging, breathable textiles, electronics, food and energy sectors.

Houston researchers reach 'surprising' revelation in materials recycling efforts

A team led by Matteo Pasquali, director of Rice’s Carbon Hub, has unveiled how carbon nanotube fibers can be a sustainable alternative to materials like steel, copper and aluminum. Photo by Jeff Fitlow/ Courtesy Rice University

Researchers at Rice University have demonstrated how carbon nanotube (CNT) fibers can be fully recycled without any loss in their structure or properties. The discovery shows that CNT fibers could be used as a sustainable alternative to traditional materials like metals, polymers and the larger, harder-to-recycle carbon fibers, which the team hopes can pave the way for more sustainable and efficient recycling efforts.

UH lands $1M NSF grant to train future critical minerals workforce

workforce pipeline

The University of Houston has launched a $1 million initiative funded by the National Science Foundation to address the gap in the U.S. mineral industry and bring young experts to the field.

The program will bring UH and key industry partners together to expand workforce development and drive research that fuels innovation. It will be led by Xuqing "Jason" Wu, an associate professor of information science technology.

“The program aims to reshape public perception of the critical minerals industry, highlighting its role in energy, defense and advanced manufacturing,” Wu said in a news release. “Our program aims to showcase the industry’s true, high-tech nature.”

The project will sponsor 10 high school students and 10 community college students in Houston each year. It will include industry mentors and participation in a four-week training camp that features “immersive field-based learning experiences.”

“High school and community college students often lack exposure to career pathways in mining, geoscience, materials science and data science,” Wu added in the release. “This project is meant to ignite student interest and strengthen the U.S. workforce pipeline in the minerals industry by equipping students with technical skills, industry knowledge and career readiness.”

This interdisciplinary initiative will also work with co-principal investigators across fields at UH:

  • Jiajia Sun, Earth & Atmospheric Sciences
  • Yan Yao and Jiefu Chen, Electrical and Computer Engineering
  • Yueqin Huang, Information Science Technology

According to UH, minerals and rare earth elements have become “essential building blocks of modern life” and are integral components in technology and devices, roads, the energy industry and more.

Houston microgrid company names new CEO

new hire

Houston-based electric microgrid company Enchanted Rock has named a new CEO.

John Carrington has assumed the role after serving as Enchanted Rock's executive chairman since June, the company announced earlier this month.

Carrington most recently was CEO of Houston-based Stem, which offers AI-enabled software and services designed for setting up and operating clean energy facilities. He stepped down as Stem’s CEO in September 2024. Stem, which was founded in 2006 and went public under Carrington's leadership in 2021, was previously based in San Francisco.

Carrington has also held senior leadership roles at Miasolé, First Solar and GE.

Corey Amthor has served as acting CEO of Enchanted Rock since June. He succeeded Enchanted Rock founder Thomas McAndrew in the role, with McAndrew staying on with the company as a strategic advisor and board member. With the hiring of Carrington, Amthor has returned to his role as president. According to the company, Amthor and Carrington will "partner to drive the company’s next phase of growth."

“I’m proud to join a leadership team known for technical excellence and execution, and with our company-wide commitment to innovation, we are well positioned to navigate this moment of unprecedented demand and advance our mission alongside our customers nationwide,” Carrington said in the news release. “Enchanted Rock’s technology platform delivers resilient, clean and scalable ultra-low-emissions onsite power that solves some of the most urgent challenges facing our country today. I’m energized by the strong momentum and growing market demand for our solutions, and we remain committed to providing data centers and other critical sectors with the reliable power essential to their operations.”

This summer, Enchanted Rock also announced that Ian Blakely would reassume the role of CFO at the company. He previously served as chief strategy officer. Paul Froutan, Enchanted Rock's former CTO, was also named COO last year.