Mapping Maryland’s Methane: UMD Initiative Takes Flight

University of Maryland Physics Professor Daniel Lathrop is making significant strides in tracking methane emissions on UMD’s campus and beyond. 

In 2024, Lathrop and his team surveyed the stinky vapor plumes on the UMD campus caused by the university’s aging energy infrastructure for their Remediation of Methane, Water, and Heat Waste Grand Challenges project. With support from students, staff and faculty members across the university, Lathrop’s team helped pinpoint several key locations where excessive steam produced to power campus buildings escaped. Thanks to their efforts, the UMD community better understands the university’s energy production and consumption systems and environmental footprint and plans to use that information to remediate the systems. 

Last month, Lathrop took the project to the skies to apply what he learned from his studies on UMD’s campus to address Maryland’s environmental challenges throughout the state. Excessive methane emission continues to be a major problem as populations grow, leading to air quality decline, increased atmospheric heat trapping, and heightened energy waste and costs. 

“UMD’s campus represents a microcosm of urban and suburban environmental challenges that really have local, national and global implications,” said Lathrop, who holds joint appointments in the Departments of Physics and Geology, the Institute for Physical Science and Technology, and the Institute for Research in Electronics and Applied Physics. “Now that we have a better understanding of the problems our campus faces, we’re better equipped to tackle similar problems the rest of the state may have.” 

“Prior research has shown that most American cities with an aging utility infrastructure lose a lot of methane to the atmosphere,” added Atmospheric and Oceanic Science Professor Russell Dickerson, who is a co-investigator on the project. “We need powerful new tools to locate, quantify and control these emissions. Field campaigns can provide benefits for the efficient use of energy and help protect the health of Marylanders.”

To accomplish this goal, Lathrop partnered with the Maryland Wing of the Civil Air Patrol, a U.S. Air Force auxiliary unit based near Baltimore County, Md. With pilot Piotr Kulczakowicz, who is also director of the UMD Quantum Startup Foundry, Lathrop conducted two research flights aboard the Patrol’s Cessna aircraft in February, hoping to accurately map methane emissions.Piotr Kulczakowicz and Dan LathropPiotr Kulczakowicz and Dan Lathrop

“Just like how UMD came together to solve a problem that affects all the people living and working on our campus, we’re partnering with other members of our community to solve an issue that impacts the whole state,” Lathrop said. “As UMD faculty and as members of the Civil Air Patrol, Piotr and I were uniquely positioned to have UMD scientists team up with the Patrol in a relatively low-cost, efficient and mutually beneficial way of doing methane mapping compared to what many other researchers in this field have done. It’s the first time it’s ever been done here. We bring the instruments and expertise; they bring the planes.” 

On the ground and in the air

Lathrop’s first flight launched on February 10 from Annapolis, Md., circling around southern Pennsylvania and north central Maryland regions including Hagerstown. During this initial test flight, Lathrop focused on calibrating the instruments used to monitor methane—including a system called LI-COR, which is frequently used to track atmospheric changes. Strapped securely to a plane seat, the $30,000 optical sensor tracked real-time emission signatures in parts per billion, thanks to a two-meter-long tube attached to one of its ports and placed through a barely cracked plane window. Methane hot spots were easy to detect.

 “It was very obvious whenever we flew past a methane hot spot,” Lathrop said. “We recorded a notable methane spike of more than 2,250 parts per billion while flying by what we later found out was a landfill in Pennsylvania called Mountain View Reclamation Plant. In contrast, we observed that flying over the Chesapeake [Bay] resulted in a sudden drop in methane levels, or well below 2,050 parts per billion, which we used as a baseline for distinguishing emission signatures from noise.’” 

Lathrop’s second flight on February 24 yielded even more results. From the departure point near Fort Meade, Md., the plane executed two loops around the Baltimore region—one loop at a lower altitude of 1,700 feet and another at 2,700 feet for a more detailed picture of emission patterns near more populated urban areas. Lathrop (in the air) and later his team (on the ground) observed that cities tend to have correlated methane and carbon dioxide emissions, a distinct pattern that differs from other known sources like landfills or gas production facilities. 

“Cities have cars and trucks that leak both methane and carbon dioxide, CO₂,” Lathrop explained. “On the other hand, gas facilities only produce methane and not much CO₂. Generally, landfills only produce methane and not CO₂. These differences could help stakeholders, especially the people living in these communities or who control these emission sources, address the leakages on a more individual level and better mitigate the issues—like high energy waste and costs—that come with them.”

Although his findings are in many ways unique to Maryland, Lathrop says that the methodology used on his flights could benefit other research teams in the region and other states interested in pinpointing methane emission sources and minimizing leakages. Lathrop is currently developing standardized procedures that will allow other teams to carry out similar missions in the future, with hopes that all stakeholdeMethane readings.Methane readings.rs will be able to make better-informed decisions about their environmental impact. 

“We’re already planning for the next few flights across Maryland, which can be quite difficult considering our proximity to restricted airspace in D.C.,” Lathrop said. “But this is only part of a much bigger effort to reduce waste, reduce the associated environmental and fiscal costs, and protect our communities.”

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Other UMD faculty members involved in the Remediation of Methane, Water, and Heat Waste Grand Challenges project include Environmental Science and Technology Associate Professor Stephanie Yarwood, FIRE Assistant Clinical Professor Danielle Niu, Geographical Sciences Assistant Professor Yiqun Xie, and Geology Associate Professor Karen Prestegaard and Professors Michael Evans and Vedran Lekic.

Researchers Play a Microscopic Game of Darts with Melted Gold

Sometimes, what seems like a fantastical or improbable chain of events is just another day at the office for a physicist.

In a recent experiment by University of Maryland researchers at the Laboratory for Physical Sciences, a scene played out that would be right at home in a science fiction movie. A tiny speck glinted faintly as it hovered far above a barren, glassy plain. Suddenly, an intense green light shone toward the ground and enveloped the speck, now a growing dark spot like a meteorite or UFO descending in the emerald beam. Once the object crashed into the ground, the light abruptly disappeared, and the flat landscape was left with a new landmark and treasure for physicists to find: a chunk of gold rapidly cooling from a molten state.

This scene, which played out at a minuscule scale in repeated runs of the experiment, was part of a research project on nanoparticles—objects made of no more than a few thousand atoms. Each piece of gold was a bead hundreds of times smaller than the width of a human hair. In each run, the golden projectile was melted by a green laser and traveled almost a million times its own length to land on a glass slide.

Nanoparticles interest scientists and engineers because they often have exotic and adaptable properties. Unlike larger samples of a material, a nanoparticle can undergo dramatic changes with only small tweaks to its environment or size. For instance, a tiny gold nugget in a California stream has the same melting point, reflectivity and thermal conductivity as a 400-pound block of gold in Central Park, but two gold nanoparticles that differ in diameter by mere billionths of a meter have significantly different properties from the large pieces and, more importantly, each other.

The broad range of properties that nanoparticles have makes them a versatile toolbox for researchers and engineers to draw from. For example, people have used gold-based nanoparticles to detect the influenza virus, deliver medications in the body, and achieve a variety of vibrant colors in stained glass. However, since nanoparticles are so small and easily influenced, researchers must use a variety of specialized tools to study them.

When examining nanoparticles, some properties are best measured by tools—like a scanning electron microscope (SEM)—that get up close and personal with the sample. An SEM can get phenomenal detail on the size and shape of a nanoparticle if it is attached to a larger material that is easy to move and handle. However, the small size of nanoparticles can make other properties, like how they conduct heat, almost impossible to measure if they are touching anything. The mere presence of larger objects can often alter a nanoparticle’s properties or drown out its interaction with the measurement device. Fortunately, many nanoparticles can be isolated from the influence of other materials by using electric fields to levitate them, allowing researchers to use lasers to study certain properties, like heat conduction, from a distance.

JQI Fellow Bruce Kane and UMD researcher Joyce Coppock perform levitation experiments to study tiny pieces of graphene, which are sheets of carbon atoms. And in their quest to develop new tools, they have also turned their attention to tiny gold beads.

However, Kane and Coppock aren’t satisfied with the insights available from levitation experiments alone. They want the best of both worlds: to measure a sample levitated in isolation and then recover it for direct inspection. So, the pair are developing a method to recover tiny samples after they are released from the fields levitating them. In a paper published in Applied Physics Letters, the pair described how they were able to deposit gold nanoparticles on a slide after levitation and how they refined the technique to hone their aim. They hope mastering the process with gold will be useful in future experiments depositing more finicky graphene samples.

Before experimenting with depositing gold, Kane and Coppock had initially tried depositing graphene nanoparticles. Levitation is important for studying graphene on its own because its thickness—just a single atom—makes it challenging to study certain properties when it’s sitting on top of another material. For instance, a bulky material under a piece of graphene generally retains or moves heat around much more dramatically than the graphene, overwhelming any attempts to measure the heat conduction of the graphene itself. Additionally, simply sitting atop another material is often enough to stretch or squeeze a graphene sample in ways that change important properties, like its electrical resistance.

To avoid these issues, Kane and Coppock typically levitate their graphene samples in a vacuum. But the properties best measured directly without levitation are required to get a complete picture of a nanoparticle.

Ideally, Kane and Coppock would like to do both styles of measurement on individual nanoparticles. However, the existing levitation procedure makes it impractical either to perform direct probes on a sample before levitating it or to recover a sample once they remove the electric fields. That’s because there isn’t a convenient way to select a single tiny particle and reliably drop it into the field or recover it from the field.

In their experiments, Kane and Coppock first create an electric field designed to capture charged particles inside a vacuum chamber. To levitate a sample, they fill the chamber with many charged nanoparticles and watch to see if one of them falls into the field. After they make their measurements of that lucky particle, it gets released and becomes just another anonymous, invisible nanoparticle scattered about the vacuum chamber.

But Kane and Coppock had an idea for how to recover samples. Instead of just dropping the electric field and letting the particle fly in a random direction, they realized they could adjust the field to give it a shove in a particular direction as they released it. Then they just had to see if they could get the tiny projectile to land in an area they could easily search.

The pair placed a removable glass slide coated with a thin, conductive layer in the chamber as their target. Connecting a charge sensor to the conducting film allowed them to detect if an electrical charge landed on the slide. They also pointed a camera at the slide. The camera couldn’t watch the nanoparticles as they traveled, but each nanoparticle is just large enough that it will normally show up as a change of a single pixel in the camera image.

The pair’s calculations suggested that if a graphene sheet lands flat on the prepared slide it should stick. However, when they tried out the experiment, they kept measuring a spike in charge at the target—suggesting it hit—but almost never spotted where the sample landed. They suspected that most samples were bouncing off the slide or landing outside the area their camera covered.

So, they simplified the experiment by switching their projectile. Instead of using sheets of graphene that need to land perfectly flat, they tried spherical gold nanoparticles, which can be more uniformly produced and don’t have a preferential orientation for making contact. Kane and Coppock were already familiar with working with gold nanoparticles from previous experiments in which they levitated them and melted them with laser light.

Similar to the graphene sheets, the gold spheres were detected by the charge sensor but then couldn’t be found in the camera image. So, Kane and Coppock applied their melting technique to allow each particle to squish a little when it lands, greatly increasing the chance of sticking. All that was required to melt the gold was to turn up the power on the laser they already had installed for studying samples.

“Lo and behold, the minute we started doing that, we started seeing images on the camera,” says Coppock. “So basically, what was needed was to increase the adhesion by melting the particle.”

After that, they could reliably find the particles. However, repeated tries revealed that a sequence of deposited samples tended to spread far apart on the slide. Being able to place a sample in a consistent area would make the technique more useful and increase their chances of finding deposited graphene samples down the road.

“It's like the problem that people have going to the moon, right?” says Coppock. “You're a tiny person on Earth, and you have to get yourself a long distance to the moon. If you just launched yourself off the Earth, there's no way you would hit the moon. If we just launched the particle out of the trap, there's no way it would both hit the substrate and we would know where it was on the substrate. Finding a 200-nanometer particle on a one-inch sized substrate is like finding a needle in a haystack.”

So, they started working on the consistency with which they launched their tiny samples. The same electrical charge that allows Kane and Coppock to levitate the particles, also allows them to guide particles on the way to the slide. They surrounded the path they wanted the nanoparticles to follow with metal rings and then applied a voltage to the rings during the journey. The applied voltage creates an electric field that nudges a nanoparticle back onto a narrower path if it starts to stray. The way the electric fields bend charged particles back to a central focal point resembles a glass lens focusing light, so researchers call the setup an electrostatic lens.

By experimenting with the voltages that they used to launch the sample and guide it along its path, they were able to change where the particles tended to end up. They adjusted the voltages from a low setting where the samples spread over an area roughly 3,000 micrometers wide to a higher setting where all the particles clustered in an area about 120 micrometers across.

Plots of where gold particles from repeated runs of the experiment landed. The colors of the dots reflect the voltages applied to achieve electrostatic lenses of various strengths. The weakest lens (light blue dots) spread the samples across an area that is about 3,000 micrometers wide, and the strongest lens (red dots) focused all the particles into a cluster just 120 micrometers across. The lower right frame has increased magnification to show the distribution of particles within the cluster created by the strongest lens. (Credit: Laboratory for Physical Sciences)Plots of where gold particles from repeated runs of the experiment landed. The colors of the dots reflect the voltages applied to achieve electrostatic lenses of various strengths. The weakest lens (light blue dots) spread the samples across an area that is about 3,000 micrometers wide, and the strongest lens (red dots) focused all the particles into a cluster just 120 micrometers across. The lower right frame has increased magnification to show the distribution of particles within the cluster created by the strongest lens. (Credit: Laboratory for Physical Sciences)

If the initial scatter area were scaled up to the size of a dartboard, then their improved aim was like clustering their golden darts well within the outer bullseye. This is even more impressive since the scaled-up version of each gold bead is a dart only as wide as a human hair and is being thrown from the equivalent of about 35.5 meters away—about 15 times the normal distance between a dartboard and the throw line.

Moving forward, Kane and Coppock hope to further improve their ability to focus samples into a particular area and to use their refined aim in attempts to recover deposited graphene samples.

Original story by Bailey Bedford: https://jqi.umd.edu/news/researchers-play-microscopic-game-darts-melted-gold

 

 

Norbert M. Linke to Return to UMD

The National Quantum Laboratory at Maryland (QLab) welcomes a renowned expert in quantum physics, computing and networking to serve as its new director, effective September 1, 2025. Norbert Linke, Ph.D., brings a decade of experience running a quantum computer user facility and conducting research on the applications of trapped atomic ions.Norbert LinkeNorbert Linke

With this appointment, Linke will return to the University of Maryland’s Department of Physics, where he worked as a faculty member from 2019 to 2022, and he will hold the first IonQ Professorship, an endowed position designed to support faculty focused on quantum computing research and advancing quantum strategy in Maryland and beyond. The IonQ Professorship was established with a $1 million gift from quantum computing firm IonQ and fully matched by the Maryland Department of Commerce. The match was made through the Maryland E-Nnovation Initiative Fund (MEIF), a state program created to spur basic and applied research in scientific and technical fields at colleges and universities.

Linke, who is currently a professor of physics at Duke University, co-invented several of the original patents that enabled the launch of IonQ, born out of UMD research and headquartered in College Park. The QLab was established in 2021 through a partnership between IonQ and UMD as the nation's first user facility to provide the global scientific community with hands-on access to a commercial-grade quantum computer. Housed in the Division of Information Technology and located in the Capital of Quantum in College Park, the QLab is dedicated to advancing quantum research and education.

"I'm honored to lead the QLab in its mission to make quantum computing accessible and drive innovation. I'm excited to work with the talented team here to push the boundaries of what's possible with this technology," Linke said. “President Pines gave QLab a motto, which is ‘Quantum for All.’ Following this, my vision for QLab is to provide broad access to the latest quantum resources for researchers, commercial stakeholders, as well as students and educators.”

The QLab fosters a vibrant quantum community, through its QLab Fellows and Global User Programs, as well as the QLab Collaboration Space, a dedicated hub for innovation that opened in 2023. The QLab also supports groundbreaking research through seed grants and collaborations with companies in the Quantum Startup Foundry, resulting in numerous publications and software development.

“Linke’s expertise and leadership will be invaluable as we continue to push the boundaries of quantum computing and foster a collaborative environment for innovation,” said Jeffrey K. Hollingsworth, vice president of information technology and chief information officer at UMD.

Linke's appointment comes at a time of rapid growth and development in the field of quantum computing, especially in the state of Maryland, where Gov. Wes Moore recently announced a $1 billion Capital of Quantum Initiative anchored by UMD and built on a landmark public-private partnership, in which the QLab is poised to play a key role.

 

Original story: https://umdrightnow.umd.edu/university-of-maryland-names-new-director-of-national-quantum-laboratory

About the QLab:
The National Quantum Laboratory at Maryland (QLab) is a national user facility that provides the scientific community with access to a commercial-grade quantum computer. Established through a partnership between IonQ and the University of Maryland, the QLab is dedicated to advancing quantum research and education and is housed in the Division of Information Technology.

  

Powered by Physics

Leonard Campanello (Ph.D. ’20, physics) spent the last three years on an ambitious mission—helping billions of Google Maps users find exactly what they’re looking for.

“I worked on the search function for Google Maps: you move the screen to a section of the map where you want to look for restaurants or hotels or things to do, add filters or attributes, like it has to be dog friendly or have a waterfront view,” Campanello explained. “And you want Google Maps to give you the best answer every time.”

As a Senior Data Scientist at Google, Campanello’s work brought science to the search process, applying the interdisciplinary physics training he received as a Ph.D. student in Professor Wolfgang Losert’s lab at the University of Maryland. Working on the Google Maps team, Campanello put his experience with models, algorithms, and analytics to work to better understand Maps users and optimize their search results.

“So, when you first issue a search, there's a list of places in a particular order. That order is carefully controlled,” Campanello explained. “We’ve proven that changing ranking algorithm has a material impact on the user's experience, and, at the end of the day, we need to know, did we have a net positive or a net negative effect on users? And we always strive to go in the net positive direction.”

As a scientist, Campanello has always been passionate about finding the stories hidden in data and building statistical models that capture the essence of the data, putting his physics skill set to work to answer a question or solve a problem.

“At the core of many problems in both physics and data science, I think we are trying to understand the data generating process so that we can better explain the fundamental physical phenomena driving what we see,” Campanello explained. “We observe that applying a force results in some change in a measurable quantity, whether the subject is a Google Maps user or a cell under the microscope. What's going on in the background that's fundamentally causing that change? How can we use this information to better understand our world? That’s what we want to find out.”

All in on physics

Campanello was a strong student who went all in on science and math since high school and earned a bachelor’s degree in physics from St. John’s University in 2013. Then, still unsure about how physics would translate into a future career, Campanello decided to pursue his Ph.D. at UMD, where he would have access to various options.

“I didn't know that what I wanted to do with enough certainty that I could commit to a graduate school that was kind of one dimensional,” Campanello recalled. “UMD had a massive physics department with a diversity of people in experiment and theory, whether it was condensed matter or high energy or biophysics or whatever, and that range of options was what ultimately kind of pulled me to UMD.”

After spending his first year working in condensed matter theory, a class with Physics Professor Michelle Girvan gave Campanello a whole new perspective.

“The class was nonlinear dynamics of extended systems and to this day it's probably the most influential class I ever took,” Campanello said. “Her problem-solving approach, including using graph theory and complex systems models, which I was never exposed to before, was eye-opening. We could actually create mathematical representations of all of these phenomena that we see in the world. And I was just wowed.”

At Girvan’s suggestion, Campanello joined Losert’s lab and began his Ph.D. research quantifying and modeling different dynamic processes, specifically complex interactions in biological systems.

“We already knew what some of the interactions were, so we knew that if we put this immune cell in the presence of some material, the immune cell would react in a specific way, which we could also measure under a microscope,” Campanello explained. “So given this set of biochemical information on the way these things behave short-term, medium-term and long-term, we said, how can we fit mathematical models to the microscope data and then use this to make inferences about this system as a whole?”

Opportunities, collaborations and simulations

Campanello took advantage of many opportunities at UMD, from teaching multiple MATLAB Boot Camps on image processing, computer vision and data analysis to coaching teams of data science students for the annual university-wide Data Challenge competition. Meanwhile, his continuing work in Losert’s lab exposed him to a world of possibilities.

“Wolfgang gave me and everyone in his lab the opportunity to work on so many different projects and collaborations with the National Institutes of Health and others, whether it was fundamental cell biology to projects on the interface of immunotherapies and autoimmune diseases to cancer, it's just crazy how much exposure we had,” Campanello noted. “He would help us identify opportunities to apply our analysis and modeling tools, give us guidance on the projects, and then let us to run with it. I really appreciated that.”

Campanello earned his Ph.D. in August 2020 and continued to do research at UMD for about six months before landing a job at Citibank in early 2021, applying his experience in modeling and analytics to consumer banking. 

Later that same year, he accepted a very different kind of opportunity at Google, working with the team that supports Google Maps to evaluate, advance and improve its ever-expanding search functions and, later, new capabilities, thanks to the addition of artificial intelligence.  

“The team is like 30 or so engineers, product managers, designers, user-experience researchers, and I was the one data scientist,” Campanello explained. “One of my primary responsibilities when I first joined was to create metrics or measurements that were absolute—meaning not open to interpretation—and I spent a lot of time doing research in that area to ensure that those measurements aligned with what we wanted for the user. What do we measure to know if we made the experience better?”

A new opportunity

In February 2025, after more than three years at Google, Campanello left to join Optiver, an Amsterdam-based global market maker that buys and sells securities to provide liquidity to markets. In this new position, he’ll again leverage his physics skill set, this time as a quantitative researcher.

“Part of my role will be to help improve the team's predictions in order to make better trading decisions. Can we make predictions right now about what will happen later today or later this hour or even just one minute from now?” Campanello explained. “If we can put numbers to these things and build models that accurately predict outcomes, then we can ultimately use those models to improve liquidity for all market participants.”

Fascinated by finance—and still inspired by the power of physics—Campanello looks forward to this next opportunity to grow.

“I've always had an interest in finance and what I'm looking forward to the most in this new role is the ability to really further my skill set,” Campanello said. “I want to get more exposure to what's happening at the bleeding edge of modeling and data science in quantitative finance. And I think this will be a good avenue for me to do that.”

Written by Leslie Miller