Houston physicist scores $15.5M grant for high-energy nuclear physics research

FUTURE OF PHYSICS

The work is "poised to revolutionize our understanding of fundamental physics," according to Rice University. Photo courtesy of Rice University

A team of Rice University physicists has been awarded a prestigious grant from the Department of Energy's Office of Nuclear Physics for their work in high-energy nuclear physics and research into a new state of matter.

The five-year $15.5 million grant will go towards Rice physics and astronomy professor Wei Li's discoveries focused on the Compact Muon Solenoid (CMS), a large, general-purpose particle physics detector built on the Large Hadron Collider (LHC) at CERN, a European organization for nuclear research in France and Switzerland. The work is "poised to revolutionize our understanding of fundamental physics," according to a statement from Rice.

Li's team will work to develop an ultra-fast silicon timing detector, known as the endcap timing layer (ETL), that will provide upgrades to the CMS detector. The ETl is expected to have a time resolution of 30 picoseconds per particle, which will allow for more precise time-of-flight particle identification.

The Rice team is collaborating with others from MIT, Oak Ridge National Lab, the University of Illinois Chicago and University of Kansas. Photo via Rice.edu

This will also help boost the performance of the High-Luminosity Large Hadron Collider (HL-LHC), which is scheduled to launch at CERN in 2029, allowing it to operate at about 10 times the luminosity than originally planned. The ETL also has applications for other colliders apart from the LHC, including the DOE’s electron-ion collider at the Brookhaven National Laboratory in Long Island, New York.

“The ETL will enable breakthrough science in the area of heavy ion collisions, allowing us to delve into the properties of a remarkable new state of matter called the quark-gluon plasma,” Li explained in a statement. “This, in turn, offers invaluable insights into the strong nuclear force that binds particles at the core of matter.”

The ETL is also expected to aid in other areas of physics, including the search for the Higgs particle and understanding the makeup of dark matter.

Li is joined on this work by co-principal investigator Frank Geurts and researchers Nicole Lewis and Mike Matveev from Rice. The team is collaborating with others from MIT, Oak Ridge National Lab, the University of Illinois Chicago and University of Kansas.

Last year, fellow Rice physicist Qimiao Si, a theoretical quantum physicist, earned the prestigious Vannevar Bush Faculty Fellowship grant. The five-year fellowship, with up to $3 million in funding, will go towards his work to establish an unconventional approach to create and control topological states of matter, which plays an important role in materials research and quantum computing.

Meanwhile, the DOE recently tapped three Houston universities to compete in its annual startup competition focused on "high-potential energy technologies,” including one team from Rice.

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This article originally ran on EnergyCapital.

Two Rice University professors have received grants from the United States Department of Defense. Photo via rice.edu

Two Houston professors land prestigious federal defense grants

hello, fellows

Two Rice University professors and researchers were granted prestigious Vannevar Bush Faculty Fellowship grants this month.

Qimiao Si, a theoretical quantum physicist, and Jeffrey Tabor, a bioengineer and synthetic biologist, were among the 10 faculty scientists and engineers in the country who earned the highly competitive grants from the United States Department of Defense this year. The five-year fellowships come with up to $3 million in funding and aim to support basic research programs that are projected to have transformative impact in their respective fields. Typically only about 50 Bush Fellows are active at a time.

Si, who is the director of the Rice Center for Quantum Materials and a member of the Rice Quantum Initiative, plans to use his grant to establish an unconventional approach to create and control topological states of matter, which plays an important role in materials research and quantum computing.

He says in a statement that the research could lead to new methods of quantum sensing and quantum information processing.

Tabor, whose lab programs living cells to respond to stimuli like diseases, has plans to use the funds to engineer biological enzymes that can programmably construct DNA.

“Our work could open new doors to understanding the rules of life and enable the engineering of designer organisms with applications in sustainable manufacturing, energy, medicine and more,” he said in a statement.

Si and Tabor join only two other Bush fellowship recipients from Rice: Naomi Halas in 2009 and Richard Baranuik in 2017.

Other faculty from the 2023 fellows come from Stanford University, University of Chicago, John Hopkins University and others. Rice and Stanford are the only two universities to have multiple fellows named to the 2023 group.

Earlier this month, the Houston-based Welch Foundation announced that it would award $10.8 million to support research at Houston-area universities, including researchers at Rice. And in June, a Rice quantum computer scientist, Nai-Hui Chia, was also presented with a 2023 Google Scholar award of up to $60,000 to support professors' research around the world.

Late last year,

12 Rice researchers were named to The Clarivate Highly Cited Researchers 2022 list considers a global pool of public academic papers that rank in the top 1 percent of citations for field and publication year in the Web of Science. Nearly 60 Houston-area researchers were named to the list.

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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

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