New York Stock Exchange Texas announces location for Dallas headquarters

NYSE Texas

The Texas bureau of the NYSE will open in 2026. Photo by Tomas Eidsvold on Unsplash

A location has been chosen for The New York Stock Exchange Texas, the new Dallas-based offshoot of the The New York Stock Exchange in New York.

According to a release, the NYSE Texas has leased 28,000 square-feet of space at Old Parkland, the hospital-turned office space at 3819 Maple Ave. in Oak Lawn, where it will operate as a fully electronic equities exchange headquartered in Dallas. The property is owned by Dallas billionaire Harlan Crowe, who acquired it in 2006.

The NYSE is part of the Intercontinental Exchange, Inc., a global provider of technology and data. It was previously the NYSE Chicago, which will close once the bureau in Texas debuts.

They’ve also named a president to the Texas branch: Bryan Daniel, former chairman of the Texas Workforce Commission. In his new role over the NYSE Texas, Daniel will report to President of NYSE Group Lynn Martin.

Relocating from Chicago to Texas was a response to Texas' pro-business profile, Martin says in a statement.

“As the state with the largest number of NYSE listings, representing over $3.7 trillion in market value for our community, Texas is a market leader in fostering a pro-business atmosphere,” Martin says. “We are delighted to expand our presence in the Lone Star State, which plays a key role in driving our U.S. economy forward.”'

The move comes five months after the Texas Stock Exchange — AKA TXSE — announced plans to launch in Dallas and begin trading in 2026, pending approval from the U.S. Securities and Exchange Commission. The Texas Stock Exchange is backed by financial giants such as BlackRock, Citadel Securities, and Charles Schwab.

The NYSE expects the Texas location to open in 2026, where it will operate electronically, with stocks trading across multiple venues regardless of where they are first listed, according to the release.

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This article originally appeared on CultureMap.com.

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There's no crystal ball, but this researcher from Rice University is trying to see if some metrics work for economic forecasting. Photo via Getty Images

Houston researcher tries to crack the code on the Fed's data to determine economic outlook

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Research by Rice Business Professor K. Ramesh shows that the Fed appears to harvest qualitative information from the accounting disclosures that all public companies must file with the Securities and Exchange Commission.

These SEC filings are typically used by creditors, investors and others to make firm-level investing and financing decisions; and while they include business leaders’ sense of economic trends, they are never intended to guide macro-level policy decisions. But in a recent paper (“Externalities of Accounting Disclosures: Evidence from the Federal Reserve”), Ramesh and his colleagues provide persuasive evidence that the Fed nonetheless uses the qualitative information in SEC filings to help forecast the growth of macroeconomic variables like GDP and unemployment.

According to Ramesh, the study was made possible thanks to a decision the SEC made several years ago. The commission stores the reports submitted by public companies in an online database called EDGAR and records the IP address of any party that accesses them. More than a decade ago, the SEC began making partially anonymized forms of those IP addresses available to the public. But researchers eventually figured out how to deanonymize the addresses, which is precisely what Ramesh and his colleagues did in this study.

"We were able to reverse engineer and identify those IP addresses that belonged to Federal Reserve staff," Ramesh says.

The team ultimately assembled a data set containing more than 169,000 filings accessed by Fed staff between 2005 and 2015. They quickly realized that the Fed was interested only in filings submitted by a select group of industry leaders and financial institutions.

But if Ramesh and his colleagues now had a better idea of precisely which bellwether firms the Fed focused on, they still had no way of knowing exactly what Fed staffers had gleaned from the material they accessed. So the team decided to employ a measure called "tone" that captures the overall sentiment of a piece of text – whether positive, negative, or neutral.

Building on previous research that had identified a set of words with negatively toned financial reports, Ramesh and his colleagues examined the tone of all the SEC filings accessed by Fed staff between one meeting of the Federal Open Markets Committee (FOMC) and the next. The FOMC sets interest rates and guides monetary policy, and its meetings provide an opportunity for Fed officials to discuss growth forecasts and announce policy decisions.

The researchers then examined the Fed's growth forecasts to see if there was a relationship between the tone of the documents that Fed staff examined in the period between FOMC meetings and the forecasts they produced in advance of those meetings.

The team found close correlations between the tone of the reports accessed by the Fed and the agency’s forecasts of GDP, unemployment, housing starts and industrial production. The more negative the filings accessed prior to an FOMC meeting, for example, the gloomier the GDP forecast; the more positive the filings, the brighter the unemployment forecast.

Ramesh and his colleagues also compared the Fed's forecasts with those of the Society of Professional Forecasters (SPF), whose members span academia and industry. Intriguingly, the researchers found that while the errors in the SPF's forecasts could be attributed to the absence of the tonal information culled from the SEC filings, the errors in the Fed’s forecasts could not. This suggests both that the Fed was collecting qualitative information that the SPF was not—and that the agency was making remarkably efficient use of it.

"They weren’t leaving anything on the table," Ramesh says.

Having solved one mystery, Ramesh would like to focus on another; namely, how does the Fed identify bellwether firms in the first place?

Unfortunately, the SEC no longer makes IP address data publicly available, which means that Ramesh and his colleagues can no longer study which companies the Fed is most interested in. Nonetheless, Ramesh hopes to use the data they have already collected to build a model that can accurately predict which firms the Fed is most likely to follow. That would allow the team to continue studying the same companies that the Fed does, and, he says, “maybe come up with a way to track those firms in order to understand how the economy is going to move.”

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This article originally ran on Rice Business Wisdom and was based on research from K. Ramesh is Herbert S. Autrey Professor of Accounting at Jones Graduate School of Business at Rice University.

Equity options can act as an alternative to credit default swaps for detecting a company’s credit risk. Photo via Getty Images

Rice research explains a new way to measure default risk for investors

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Up until the 2007-2009 financial crisis, credit default swaps (CDS) were a predominant method for predicting the probability of corporate default. CDS function like insurance for loan assets — if an asset defaults, the bank who purchased the CDS would recoup their loss. Higher-risk assets usually have higher premiums, and in this way the price of a CDS indicates the probability of default.

When the housing market crashed in 2007, the CDS market crashed along with it when banks had to pay out more than they had expected. The CDS market is not expected to ever return to its previous high, leaving a void in market-driven estimates for determining an asset’s default probability.

To fill that void, a team of researchers including Rice Business Professor Robert Dittmar created an alternative method for measuring default risk: equity options data. The team found that equity options not only correlate with CDS data in terms of accurate prediction of default but also provide additional insights on what types of assets are more likely to default, and when they will default.

There are two types of options, a call option, which is essentially a bet that a stock’s price will be higher than a contracted value (the strike price) and a put option, which is a bet that a stock’s price will be less than a contracted value.

A put is often viewed as an insurance contract — if you hold a stock, but also a put option on it, you limit your loss on the stock if the stock price falls.

“What we are looking at is essentially how expensive put options get,” says Dittmar. “If the market thinks a company is likely to default, it expects that its stock value will fall (almost to zero). As a result, put options, which represent insurance against this loss become more expensive. We are looking at how these option prices change to see if they inform us about the probabilities of default.”

According to Dittmar and his team, this approach has several advantages. 1) There are more stocks with options than CDS. 2) The CDS market is drying up whereas the option market remains liquid. And 3) Because of the nature of an option contract, and the fact that in principle equity holders have the lowest claim on a company’s assets, this approach may allow investors to predict losses in case of default.

The team looked at CDS quotes on 276 firms between 2002 and 2017, focusing attention on entities that had quote data available on one-year credit default swaps. The 15-year sample enabled the researchers to analyze the money lost through defaults over a longer period of time, including the 2007-2009 financial crisis.

Using equity options data as a predictor of default led to some interesting insights. First, there are two components that investors in corporate bonds think about when weighing default risk — the probability of default and (should there be a default) how much of the bond’s principal they will get back (i.e., recovery rate). “What we see is that credit ratings imply different levels of default thresholds, which may mean that investors believe that there are differences in the amount that debt holders will lose in the case of default,” says Dittmar.

Second, option-implied default probabilities correlate to historical changes in the economy. Default probabilities are higher in bad economic times and for firms with poorer credit ratings and financial positions. Default spikes are more likely during times of economic turbulence, such as the financial crisis of 2007-2009, which correlated with the decline of the CDS market after an onslaught of debt defaults during the recession. Assets are less likely to default during times of economic expansion. Over the period of 2013-2017, forecasted losses through defaults hovered around 15%.

The research sample ends in 2017, and the paper was published in 2020, about a month after the start of the coronavirus pandemic. Since then, there have been unprecedented changes in the economy, and some economists are anticipating another recession in 2023. With such instability in the market, multiple methods of predicting losses should be especially relevant. This research suggests that the equity options market may provide additional ways of finding the probability of these losses.

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This article originally ran on Rice Business Wisdom and was based on research from Robert Dittmar, professor of finance at the Jones Graduate School of Business at Rice University.

Earnings report delays generally lead to drops in stock prices. Disclosure can soften this market reaction. Photo via Getty Images

Houston research: Is no news always bad news in market reports?

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Investors eagerly wait for the news in their earnings reports. When these reports don't appear on the expected date, investors worry — and stock prices often fall as a result. But what if managers could present late reports in a way that spared their companies?

Research by K. Ramesh, a professor at Rice Business, shows that managers' approach to late earnings reports can profoundly affect market reaction. When firms put off filing a report, it's up to managers to decide whether to speak up or stay quiet. Those who choose to talk about a postponement then must decide how, what and how much to say.

All earnings delays, whether they're attended by a statement or not, prompt negative market reaction, prior research suggests. But in his research, Ramesh, Herbert S. Autrey Professor of Accounting, wanted to learn more about the exact consequences of these late reports, and how managers can lessen the blowback.

To do this, Ramesh and a team of coauthors first looked at the incidence, timing and contents of a comprehensive sample of press releases announcing an earnings delay. Then they studied what those delays did to market value.

Conventional wisdom in the business press already suggested that investors viewed any announcement of a delayed earnings report as bad news. But finance theorists tell a more complicated story, one in which the market response might be partially shaped by managerial behavior. Subtle factors, they found, such as whether the impending delay is discussed or treated with silence, really can make a difference.

In the view of some theorists, merely announcing a delay can sometimes avert a drop in stock prices. Others argue that this isn’t necessarily the case, especially if the company discloses that the delay stemmed from legal concerns. The better approach: making it clear up front that reports aren't being postponed to hide disastrous information. But what if the information is indeed disastrous?

That may be the one case where disclosure won’t change much, Ramesh and his team found.

“Those companies that are in fact concealing disastrous results will experience no benefits (in the form of higher stock price) from revealing their true situation,” the research team wrote, “because the market will infer the worst from the manager’s decision not to announce the delay.” For this reason, they added, delayed earnings without a stated explanation prompt the most negative market reaction. As in so many areas of public relations, without a narrative, investors will infer a negative one of their own.

To better understand the impact of late reports, Ramesh and his coauthors built a comprehensive sample of 545 delay announcements by using a keyword search of the Dow Jones Factiva database between January 1, 1995, and December 31, 2009.

As conventional wisdom suggested, the study showed that announcements of late earnings reports led to negative market reactions. (Earlier studies have shown smaller firms are hit hardest by this dynamic, perhaps because investors assume large companies have more finely tuned financial reporting systems, so are less worried by their earnings delays).

Consistent with the anecdotal evidence, the average one-day abnormal stock return for the sample was -6.29 percent, while the median return was -2.27 percent. Both figures are economically and statistically significant.

The researchers next classified the announcements according to stated reason, dividing the delays into “Accounting” and “Non-Accounting” categories. “Accounting” explanations were subdivided into “Accounting Issue,” “Accounting Process” and “Rule Change.”

Meanwhile, “Non-Accounting” explanations were divided into “Business,” which linked the delay to some event such as divestitures or regulatory proceedings, and “Other,” which ranged from earthquakes to power outages. Finally, there were delays for no stated reason at all.

About two-thirds of the late announcements, the team found, were linked to accounting. When firms named a specific accounting issue as the cause for delay, the average abnormal return reached a statistically significant -8.15 percent. When managers explained that the accounting process was not complete, the average abnormal return was slightly lower, at -7.04 percent.

After accounting issues, business events drove most earnings delays. In theory, these events could have been either good or bad news. But the average abnormal return for the subsample was a statistically significant -3.74 percent — a reflection of the fact that most business events linked to late earnings reports tend to be negative.

Curiously, the average abnormal return for the grouping classified as “Other” was almost nil — at 0.53 percent. This suggests that the market does not penalize managers for events outside of their control that have little, if any, relevance to firm performance.

“No Reason,” the researchers found, was the most damaging explanation of all. Seven percent of the sample, or 37 out of 545 delays, came without a stated reason. The average abnormal return for these was a significant -10.41 percent, a greater negative number than the returns for any of the other reasons.

So what should managers do when a deadline is going to be busted? Bite the bullet and disclose the reasons, Ramesh suggests. For one thing, it helps limit legal exposure and preserve credibility. When the reason for the late report is innocuous, explaining to investors can also mitigate the market's displeasure. A caveat: While informing investors that a power outage caused earnings delay will calm jitters, disclosure may not make a difference if the company just can’t balance its books.

It's human nature, apparently, to read no news as bad news. Relaying something—anything—about the cause of a late report seems to soothe investors' nerves by preventing them from filling the silence themselves.

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This article originally ran on Rice Business Wisdom and was based on research from K. Ramesh, Tiago Duarte-Silva, Huijing Fu and Christopher F. Noe. K. Ramesh is the Herbert S. Autrey Professor of Accounting at Jones Graduate School of Business at Rice University.

Research shows that some corporate executives skew earnings to influence the market and inflate share price. Photo via Pexels

Rice University research finds market outliers at risk of misreporting

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Say a company called CoolConsumerGoodsCo has just released its quarterly earnings report, revealing significantly higher profits than its consumer goods industry counterparts.

That result might spur analysts to slap a buy rating on the stock and investors to snap up shares. In an ideal world, the market wouldn't have to consider the possibility that the numbers aren't legit — but then again, it's not an ideal world. (Enron, anyone?)

Rice Business professors Brian R. Rountree and Shiva Sivaramakrishnan, along with Andrew B. Jackson at UNSW in Australia, studied what makes business leaders more likely to engage in fraudulent earnings reporting. Specifically, they focused on the relationship between this kind of misrepresentation and the degree to which a company's earnings are in line with the rest of its industry — a variable the researchers term "co-movements."

Many people are familiar with a similar variable, calculated using stock returns often referred to as a company's beta. The authors adapted the stock return beta to corporate earnings to see how a company's earnings move with earnings at the industry level.

The researchers hypothesized that the less in sync a company's earnings are with its industry, the higher the chance a company's leaders will manipulate earnings reports. They started with the well-accepted premise that corporations try to skew earnings reports to influence the market. The primary motive is typically to raise the company's stock price, as when an executive tries to "choose a level of bias" that balances potential fallout of getting caught against the benefits of a higher stock price.

To test their prediction, the professors analyzed a sample of enforcement actions taken by the U.S. Securities and Exchange Commission against companies for problematic financial reporting from 1970 to 2011 — although they noted that given the SEC's limited resources, the number of enforcement actions probably underestimates the actual amount of earnings manipulation in the market.

Their analysis revealed that firms with low earnings co-movements (meaning their earnings were out of sync with industry peers) were more likely to be accused by the SEC of reporting misdeeds. They concluded that the degree of earnings co-movement determines the probability of earnings manipulation. Put another way, earnings co-movements are a "causal factor" in the chances of earnings manipulations — and to a significant degree. The researchers found that firms who don't co-move with the market are more than 50 percent more likely to face an SEC enforcement action, compared with firms who are perfectly aligned with the market.

The researchers drilled deeper into the data to study whether the odds changed depending on the industry, since past research has indicated that the amount of competition in an industry works to constrain misreporting. That premise seems to hold true, the researchers concluded. In industries with more competitive markets, the impact of low co-movement on earnings manipulation is moderated.

They also studied whether the age of a firm played a part in the likelihood of earnings manipulation. Newer firms often rely more on stock compensation, which could be a motive for manipulating earnings reporting to drive up share price. Indeed, younger firms were more susceptible to misreporting when their earnings were out of whack with the rest of the marketplace.

Every firm faces some risk of misreporting, however. Even for public companies under analyst scrutiny, low co-movement proved to be a driver of earnings manipulation. But companies known for conservative reporting tend to be less likely to exaggerate their earnings, in general; these firms typically recognize losses in a more timely manner, the professors found.

These findings suggest a number of future lines of research. For example: When do executives underreport earnings? And can analyzing patterns related to cash flow reporting help better isolate earnings manipulation?

In the meantime, if you come across a company like CoolConsumerGoodsCo with an earnings report that's widely out of sync with the rest of its industry, you might think twice before rushing to buy in.

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This article originally ran on Rice Business Wisdom and is based on research from Brian R. Rountree, an associate professor of accounting at the Jones Graduate School of Business at Rice University, and Shiva Sivaramakrishnan is the Henry Gardiner Symonds Professor of Accounting at Rice Business.

John Berger, CEO of Houston-based Sunnova, is this week's Houston Innovators Podcast guest. Courtesy of Sunnova

Houston solar energy exec shines light on company growth and IPO

HOUSTON INNOVATORS PODCAST EPISODE 15

It was all about the timing for John Berger, founder and CEO of Sunnova, a Houston-based residential solar energy company.

When he founded his company in 2012 in Houston, solar energy wasn't the trendy sustainability option it is today, but Berger saw the potential for technology within the industry. So, with a lot of perseverance and the right team behind him, he scaled Sunnova through nationwide expansion, billions of money raised, and a debut on the stock market last July — something that also happened with great timing.

About 72 hours after Sunnova went public last July, the Federal Reserve System announced it was going to cut rates. Additionally, Sunnova's IPO occurred ahead of WeWork's failed IPO.

"We went public in a market that still isn't back open again, I think, for IPOs," Berger says on this week's episode of the Houston Innovators Podcast. "We had pretty good timing when we went out the door."

However great the timing was, Sunnova's success is built on the hard work and skills of the company's employees, Berger explains on the podcast, and now running a public company requires a dynamic leader.

"I really look at myself and how I can change myself," Berger says. "I'm a different CEO today than I was 12 months ago, and hopefully I'll be a different CEO in 12 months, because the company demands it."

In the episode, Berger lifts the curtain on Sunnova's IPO, explains where he sees the solar energy industry headed, how battery storage technology has evolved, and why he's not worried about who ends up in the White House. Listen to the full episode below — or wherever you get your podcasts — and subscribe for weekly episodes.


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7 innovative startups that are leading the energy transition in Houston

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Houston has long been touted as the energy capital of the world, and it's now it's also a leading player in the energy transition — home to numerous startups and innovators working toward a cleaner future.

As part of the 2025 Houston Innovation Awards, our Energy Transition Business category honors innovative startups that are providing solution within renewables, climatetech, clean energy, alternative materials, circular economy, and more.

Seven energy transition companies have been named finalists for the 2025 award. They range from a spinoff stimulating subsurface hydrogen from end-of-life oil fields to a company converting prickly pear cactus biogas into energy.

Read more about these climatetech businesses, their founders, and their green initiatives below. Then join us at the Houston Innovation Awards on Nov. 13 at Greentown Labs, when the winner will be unveiled at our live awards ceremony.

Tickets are now on sale for this exclusive event celebrating all things Houston Innovation.

Anning Corporation

Clean energy company Anning Corporation is working to develop geologic hydrogen, a natural carbon-free fuel, using its proprietary stimulation approaches and advanced exploration modeling. The company said that geologic hydrogen has the potential to be the lowest-cost source of reliable baseload electricity in the U.S.

The company was founded by CEO Sophie Broun in 2024 and is a member of Greentown Labs. Last month, it also announced that it was chosen to participate in Breakthrough Energy’s prestigious Fellows Program. Anning raised a pre-seed round this year and is currently raising a $6 million seed round.

Capwell Services

Houston-based methane capture company Capwell Services works to eliminate vented oil and gas emissions economically for operators. According to the company, methane emissions are vented from most oil and gas facilities due to safety protocols, and operators are not able to capture the gas cost-effectively, leading operators to emit more than 14 million metric tons of methane per year in the U.S. and Canada. Founded in 2022, Capwell specializes in low and intermittent flow vents for methane capture.

The company began as a University of Pennsylvania senior design project led by current CEO Andrew Lane. It has since participated in programs with Greentown Labs and Rice Clean Energy Accelerator. The company moved to Houston in 2023 and raised a pre-seed round. It has also received federal funding from the DOE. Capwell is currently piloting its commercial unit with oil and gas operators.

Deep Anchor Solutions

Offshore energy consulting and design company Deep Anchor Solutions aims to help expedite the adoption of floating offshore energy infrastructure with its deeply embedded ring anchor (DERA) technology. According to the company, its patented DERA system can be installed quietly without heavy-lift vessels, reducing anchor-related costs by up to 75 percent and lifecycle CO2 emissions by up to 80 percent.

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

Eclipse Energy

Previously known as Gold H2, Eclipse Energy converts end-of-life oil fields into low-cost, sustainable hydrogen sources. It completed its first field trial this summer, which demonstrated subsurface bio-stimulated hydrogen production. According to the company, its technology could yield up to 250 billion kilograms of low-carbon hydrogen, which is estimated to provide enough clean power to Los Angeles for over 50 years and avoid roughly 1 billion metric tons of CO2 equivalent.

Eclipse is a spinoff of Houston biotech company Cemvita. It was founded in 2022 by Moji Karimi (CEO and chairman of Cemvita), Prabhdeep Sekhon (CEO of Eclipse), Tara Karimi, and Rayyan Islam. The company closed an $8 million series A this year and has plans to raise another round in 2026.

Loop Bioproducts

Agricultural chemical manufacturing company Loop Bioproducts leverages the physiology of prickly pear cactus grown in Texas to produce bioenergy, food, and remediate industrial wastewater streams. The company uses its remote sensing technology, proprietary image-based machine learning model, and R&D innovation to capture raw biogas from the cactuses and is focused on scaling cactuses as an industrial crop on land.

Rhiannon Parker founded Loop Bioproducts in 2023.

Mars Materials

Clean chemical manufacturing business Mars Materials is working to convert captured carbon into resources, such as carbon fiber and wastewater treatment chemicals. The company develops and produces its drop-in chemical products in Houston and uses an in-licensed process for the National Renewable Energy Lab to produce acrylonitrile, which is used to produce plastics, synthetic fibers, and rubbers. The company reports that it plans to open its first commercial plant in the next 18 months.

Founded in 2019 by CEO Aaron Fitzgerald, CTO Kristian Gubsch, and lead engineer Trey Sheridan, the company has raised just under $1 million in capital and is backed by Bill Gates’ Breakthrough Energy, Shell, Black & Veatch, and other organizations.

Solidec

Chemical manufacturing company Solidec has developed autonomous generators that extract molecules from water and air and converts them into pure chemicals and fuels that are free of carbon emissions onsite, eliminating the need for transport, storage, and permitting. The company was founded around innovations developed by Rice University associate professor Haotian Wang.

The company was selected for the Chevron Technology Ventures’ catalyst program, Greentown Labs, NSF I-Corps and was part of the first cohort of the Activate Houston program. It won first place at the 2024 startup pitch competition at CERAWeek. Solidec was founded in 2023 by Wang, who serves as chief scientist, CEO Ryan DuChanois, and CTO Yang Xia. It closed a $2.5 million seed round earlier this year.

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The Houston Innovation Awards program is sponsored by Houston Community College, Houston Powder Coaters, FLIGHT by Yuengling, and more to be announced soon. For sponsorship opportunities, please contact sales@innovationmap.com.

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

clean water research

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.

PFAS have been linked to immune system disruption, certain cancers, liver damage and reproductive disorders. They can be found in water, soil and air, as well as in products like Teflon pans, waterproof clothing and food packaging. They do not degrade easily and are difficult to remove.

Thus far, PFAS cleanup methods have relied on adsorption, in which molecules cling to materials like activated carbon or ion-exchange resins. But these methods tend to have limited capacity, low efficiency, slow performance and can create additional waste.

The Rice-led study, published in the journal Advanced Materials, 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.

The study was led by Rice professor Youngkun Chung, a postdoctoral fellow under the mentorship of Michael S. Wong. It was conducted in collaboration with Seoktae Kang, professor at the Korea Advanced Institute of Science and Technology, and Keon-Ham Kim, professor at Pukyung National University, who first discovered the LDH material.

The team evaluated the LDH material in river water, tap water and wastewater. And, according to Rice, that material’s unique copper-aluminum layers and charge imbalances created an ideal binding environment to capture PFAS molecules.

“To my astonishment, this LDH compound captured PFAS more than 1,000 times better than other materials,” Chung, lead author of the study and now a fellow at Rice’s WaTER (Water Technologies, Entrepreneurship and Research) Institute and Sustainability Institute, said in a news release. “It also worked incredibly fast, removing large amounts of PFAS within minutes, about 100 times faster than commercial carbon filters.”

Next, Chung, along with Rice professors Pedro Alvarez and James Tour, worked to develop an eco-friendly, sustainable method of thermally decomposing the PFAS captured on the LDH material. They heated saturated material with calcium carbonate, which eliminated more than half of the trapped PFAS without releasing toxic by-products.

The team believes the study’s results could potentially have large-scale applications in industrial cleanups and municipal water treatments.

“We are excited by the potential of this one-of-a-kind LDH-based technology to transform how PFAS-contaminated water sources are treated in the near future,” Wong added in the news release. “It’s the result of an extraordinary international collaboration and the creativity of young researchers.”

Axiom Space announces new CEO amid strategic leadership change

new leader

Six months after promoting Tejpaul Bhatia from chief revenue officer to CEO, commercial space infrastructure and human spaceflight services provider Axiom Space has replaced him.

On Oct. 15, Houston-based Axiom announced Jonathan Cirtain has succeeded Bhatia as CEO. Bhatia joined Axiom in 2021. Cirtain remains the company’s president, a role he assumed in June, according to his LinkedIn profile.

In a news release, Axiom said Cirtain’s appointment as CEO is a “strategic leadership change” aimed at advancing the company’s development of space infrastructure.

Axiom hired Cirtain as president in June, according to his LinkedIn profile. The company didn’t publicly announce that move.

Kam Ghaffarian, co-founder and executive chairman of Axiom, said Cirtain’s “proven track record of leadership and commitment to excellence align perfectly with our mission of building era-defining space infrastructure that will drive exploration and fuel the global space economy.”

Aside from praising Cirtain, Ghaffarian expressed his “sincere gratitude” for Bhatia’s work at Axiom, including his leadership as CEO during “a significant transition period.”

Bhatia was promoted to CEO in April after helping Axiom gain more than $1 billion in contracts, Space News reported. He succeeded Ghaffarian as CEO. Axiom didn’t indicate whether Bhatia quit or was terminated.

Cirtain, an astrophysicist, was a senior executive at BWX Technologies, a supplier of nuclear components and fuel, for eight years before joining Axiom. Earlier, Cirtain spent nearly nine years in various roles at NASA’s Marshall Space Flight Center in Huntsville, Alabama. He previously co-founded a machine learning company specializing in Earth observation.

“Axiom Space is pioneering the commercialization of low-Earth orbit infrastructure while accelerating advancements in human spaceflight technologies,” Cirtain said. “I look forward to continuing our team’s important work of driving innovation to support expanded access to space and off-planet capabilities that will underpin the future of space exploration.”

Among other projects, Axiom is developing the world’s first commercial space station, creating next-generation spacesuits for astronauts and sending astronauts on low-Earth orbit missions.

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