When Neutron Stars Collide, Neutrinos Change Flavors


The Science

Newswise — Neutron stars are among the densest objects in the universe. They are packed so tightly that a spoonful of their matter weighs more than a mountain. When two neutron stars collide, they release huge numbers of tiny particles called neutrinos. Neutrinos are fundamental particles that come in three types, or “flavors.” These flavors can change into one another as they travel, a process known as neutrino oscillation. This simulation shows that such changes affect the ratio of neutrons to protons in the matter thrown out of the crash. If the ejecta becomes richer in neutrons, it may produce more heavy elements such as gold and platinum.

The Impact

This work presents the first supercomputer simulations that include neutrino flavor transformations in neutron star mergers. The simulations show that as neutrinos change their flavor, neutron star mergers become an even more powerful factory for producing heavy elements, like gold. By influencing the mix of neutrons and protons, neutrinos play a hidden but vital role in shaping the origins of matter in the universe. The collisions also shake space itself. They create gravitational waves — ripples in the fabric of space and time that observatories on Earth can detect. Neutrinos changing their flavor in these collisions could also affect the gravitational waves resulting from the mergers. Adding neutrino oscillations to computer models will help scientists better analyze data from gravitational waves.

Summary

Neutron star mergers are key factories of heavy elements, via the rapid neutron capture process (the r-process). Neutrinos also play a central role in the production of heavy elements by setting the neutron-to-proton ratio in the matter these mergers eject. In this study, astrophysicists performed simulations in numerical relativity that included neutrino flavor mixing. This aspect had been neglected in most previous studies. The team employed a relaxation operator to model flavor equilibration, under different density thresholds, and compared these with the no-mixing case. They found that flavor mixing tends to reduce electron type neutrino abundances in low-density regions and make the ejecta more neutron rich.  In some cases, there is neutron enhancement by more than a factor of five. This change produces increases in the yields of heavy elements (lanthanide and heavier) by orders of magnitude, compared to simulations which neglect neutrino mixing. The results also demonstrate that neutrino flavor transformations can potentially alter observable signatures of neutron star mergers, such as gravitational waves.

Funding

This work was supported by the U.S. Department of Energy, Office of Science, Division of Nuclear Physics, National Science Foundation, and the Sloan Foundation. It used computational resources from the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility, as well as institutions’ supercomputing centers.


Journal Link: Physical Review Letters, 135 091401 (2025)




Solving a Mystery in Dark Matter Detectors Could Improve Quantum Computers


BYLINE: Lauren Biron

Newswise — Although dark matter makes up most of the mass in our universe, it has never been directly observed. To hunt for lighter dark matter and other rare phenomena, researchers must solve a puzzle in their supersensitive detectors: an unexpected number of low-energy events, called the “low-energy excess” or LEE, that can obscure the rare signals they seek.

In a study published on Dec. 30, 2025, in Applied Physics Letters, researchers with the TESSERACT (Transition-Edge Sensors with Sub-EV Resolution And Cryogenic Targets) experiment identified one of the culprits behind the low-energy excess. They found that the noise comes not from the electronics or the surrounding environment, but from tiny bursts of vibrational energy within the silicon crystal of the detectors themselves. And the thicker the silicon, the more LEE events there are.

Since at least some LEE events come from tiny changes in the detector material itself, researchers estimate they also cause problems in superconducting qubits, the sensitive building blocks of quantum computers that are often made of silicon. The bursts of energy can create “quasiparticles” that disturb a qubit’s fragile quantum state, causing it to decohere or fail. So even in carefully shielded quantum systems, some errors could be coming from inside the house.

“Quantum computers could perform calculations our current systems can’t, but only if people can make qubits that are stable,” said Dan McKinsey, the director of TESSERACT and a scientist at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab), which leads the experiment. “Because the detectors we use for our dark matter experiment have a similar backbone to what is in qubits, by understanding a problem in particle physics, we’re also getting information on how to improve the quantum computing side.”

To pinpoint where LEE events were coming from, TESSERACT collaborators fabricated superconducting phonon sensors (which pick up quantum vibrations, or phonons) on two nearly identical silicon chips that were 1 and 4 millimeters thick. In both detectors, the number of events decreased over time as they were cooled, and the thicker chip saw four times as many low-energy events — pointing to the volume of silicon itself as the source, rather than outside causes.

Now that the scientific community knows the number of LEE events relates to how thick the silicon is, some groups will be able to improve their sensors simply by scaling back how much silicon they use. But it’s still just the first step in understanding exactly what causes the bursts of energy and finding an engineering solution to get rid of the background noise completely.

“Superconducting qubits for computers are designed to ignore the environment so that their quantum state survives,” said Matt Pyle, a TESSERACT collaborator, associate professor at UC Berkeley, and researcher at Berkeley Lab. “In contrast, our photon and phonon sensors use similar technology, but they’re designed to be incredibly sensitive to their environment so that they can sense dark matter. That makes our detectors unique and powerful tools for diagnosing environmental sources that cause decoherence and limit quantum computers.”

During the experiment, TESSERACT’s thinner detector also achieved a world-leading energy resolution of 258.5 millielectronvolts. That means it could distinguish between two events with energies differing by only a few hundredths of an electronvolt, several times smaller than the amount of energy carried by a single particle of visible light. That precision will allow scientists to distinguish extremely faint signals from background noise, essential for tracking down dark matter.

TESSERACT is currently in the prototype and construction phase, and will eventually be installed in France’s Modane Underground Laboratory. The TESSERACT collaboration also includes researchers at Argonne National Laboratory, Caltech, Florida State University, IJCLab (Laboratoire de Physique des 2 Infinis Iréne Joliot-Curie), IP2I (Institut de Physique des 2 Infinis de Lyon), LPSC (Laboratoire de Physique Subatomique et de Cosmologie), Texas A&M University, UC Berkeley, the University of Massachusetts Amherst, the University of Zürich, and QUP (the International Center for Quantum-field Measurement Systems for Studies of the Universe and Particles).

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Light-Based 3D Printing Method Lets Scientists Program Plastic Properties at the Microscale | Newswise


Newswise — Researchers at Lawrence Livermore National Laboratory (LLNL) have co-developed a new way to precisely control the internal structure of common plastics during 3D printing, allowing a single printed object to seamlessly shift from rigid to flexible using only light.

In a paper published today in Science, the researchers describe a technique called crystallinity regulation in additive fabrication of thermoplastics (CRAFT) that enables microscopic control over how plastic molecules arrange themselves as an object is printed. The work opens new possibilities for advanced manufacturing, soft robotics, national defense, energy damping and information storage, according to the researchers. The team includes collaborators from Sandia National Laboratories (SNL), the University of Texas at Austin, Oregon State University, Arizona State University and Savannah River National Laboratory.

The team demonstrated that by carefully tuning light intensity during printing, they could dictate how crystalline or amorphous a thermoplastic becomes at specific locations within a part. That molecular arrangement determines whether a material behaves more stiff and rigid, or as a softer, more flexible plastic — without changing the base material. CRAFT builds on that principle by allowing researchers to control crystallinity spatially during printing, rather than uniformly throughout a part.

“A classic example of crystallinity is the difference between high-density polyethylene —picture a milk jug — and low-density polyethylene, like squeeze bottles and plastic bags. The bulk property difference in these two forms of polyethylene stems largely from differences in crystallinity,” said LLNL staff scientist Johanna Schwartz. “Our CRAFT effort is exciting in that we are controlling the crystallinity within a thermoplastic spatially with variations in light intensity, making areas of increased and decreased crystallinity to produce parts with control over material properties throughout the whole geometry.”

A key challenge, however, was translating this new materials capability into practical manufacturing instructions that could be used on real 3D printers, according to LLNL engineer Hernán Villanueva. Villanueva joined the project after early discussions with Schwartz and former SNL scientists Samuel Leguizamon and Alex Commisso identified a missing link: a way to convert any three-dimensional computer-aided design (CAD) into the detailed light patterns needed to print parts using the CRAFT method.

Villanueva said he drew on prior work in a multi-institutional team focused on lattice structures and advanced manufacturing workflows. In that effort, he developed software that rapidly converted complex, topology-optimized designs into printing instructions by parallelizing the process on LLNL’s high-performance computing (HPC) systems — reducing turnaround times from days to hours or minutes.

Applying that same computational approach to CRAFT, Villanueva adapted the workflow to encode “changes in light” rather than changes in material. He was soon able to convert 3D CAD geometries directly into CRAFT printing instructions, cutting instruction-generation time from hours — or even a full day — down to seconds, making rapid design iteration and demonstration of the method practical.

“This work is a natural extension of the Lab’s strengths in advanced manufacturing and materials by design,” Villanueva said. “As part of the CRAFT effort, we have evolved a tool that connects materials science with computational workflows and advanced printing, enabling us to move directly from a 3D design to a part with spatially varying properties.”

The team’s method relies on a light-activated polymerization process in which exposure level governs the stereochemistry of growing polymer chains, researchers said. Lower light intensities favor more ordered crystalline regions, while higher intensities suppress crystallization, yielding softer, more transparent material. By projecting grayscale patterns during printing, the team produced parts with smoothly varying mechanical and optical properties.

The demonstrated ability to tune properties by changing a light’s intensity rather than swapping materials could significantly simplify additive manufacturing (3D printing), Schwartz explained.

“If you can get many different properties from one vat of material, printing complex multi-material or multi-modulus structures becomes much easier,” she said.

The researchers demonstrated the CRAFT technique on commercial 3D printers, fabricating objects that combine multiple mechanical behaviors in a single print. Examples included bio-inspired structures that mimic bones, tendons and soft tissue, reproductions of famous paintings, as well as materials designed to absorb or redirect vibrational energy without adding weight or complexity. Among the most striking demonstrations was the ability to encode crystallinity through transparency differences, according to Schwartz.

“Being able to visualize the differences easily spatially, to the point of generating the Mona Lisa out of only one material, was incredibly cool,” Schwartz said.

LLNL’s Villanueva said the work reflects the Lab’s long-standing investments in HPC and in integrating modeling, design tools and novel manufacturing processes. He added that future work could integrate topology optimization directly into the CRAFT framework, enabling researchers to optimize light patterns themselves — rather than material layouts — to achieve desired performance.

Because the process works with thermoplastics — materials that can be melted and reshaped — printed parts remain recyclable and reprocessable, an important advantage for manufacturing sustainability. The findings suggest a future where 3D-printed plastic components can be tailored at the molecular level for specific functions, bridging the gap between material science and digital manufacturing.

From an applications standpoint, Schwartz said the technology could have broad and near-term impact.

“Energy dampening and metamaterial design are the most exciting use cases to me,” she said. “From space to fusion to electronics, there are so many industries that rely on energy and vibrational dampening control. This CRAFT printing process can access all of them.”