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Can the 88-Inch Cyclotron Save the Periodic Table?

NSD’s Jennifer Pore discusses Mendeleev’s Periodic Table, highlighting the importance of organizing elements by their true chemical properties if the periodic table is to retain its predictive power. (Credit: Corina Andreiou, Simon Fraser University)

Fast Machine Learning-Enabled Uncertainty Quantification for Radiological Mapping

Illustration of the radiological mapping and image reconstruction process, which plays a critical role in many nuclear security related applications. A detector system carried by an unmanned aerial vehicle scans the field to measure the counts due to environmental background and potential radioactive sources. The data collected during the mapping is processed on an edge computer. With traditional methods, such as MLEM, the major results output from the computer is a map showing the estimated radioactivity intensity. Using Bayesian methods, the major results output includes not only a radioactivity intensity estimate, but also their associated uncertainties. (Credit: Jayson R. Vavrek)

Energy-energy Correlators to Probe Particle Hadronization at Colliders

Energy-energy correlators (EECs) measure the correlations between two energy flows with an opening angle at colliders and can be described by the transverse momentum dependent di-hadron fragmentation functions (Credit: Feng Yuan)

Tracing a New Astrophysical Pathway for Making the Heavy Elements

Three labeled circles – connected by double-ended arrow lines, indicating a continuous, integrated, multidirectional process – surround a center rectangle with the words 'i process' on a background image of a starfield and multicolored nebula. The top circle says "Astrophysical Modeling" with an abstract graph image showing a cloud of rainbow-colored grid lines. The lower right circle says" Nuclear Data" and has an image of small bubbles or circles indicating an abstract configuration of subatomic nuclear particles. The lower-left circle is labeled "Astronomy" with a cartoon image of a telescope.

Berkeley Lab physicists help commission the Mu2e tracker

Namitha Chithirasreemadam, Richie Bonventre, and Ed Callaghan – members of Berkeley Lab’s Mu2e research team – in front of the Mu2e tracker, which is sitting on temporary support rails in the Mu2e experimental hall at Fermilab. (Photo credit: Vadim Rusu, Fermilab)

Dark Matter's Quantum Nature Leaves No Trace in Detectors

A graph from the PRL publication showing that the quantum nature of axion dark matter (shown on the left), an ultralight wave-based dark-matter candidate, vanishes when viewed by a modern detector (shown on the right), whether or not researchers are using advanced quantum technologies to detect them. (Credit: Nick Rodd, Berkeley Lab)

Two Engineering Division Employees Make a Big Impact Through Mentoring and Volunteering

Software engineer Mary Lopez (left) and electronics engineer Rebecca Carney (right) with their awards at the 2026 Volunteer and Mentor Appreciation Event. (Photo Credits: Thor Swift, Berkeley Lab)

Meet Director’s Award Recipient, Runaround Champion, and Mechanical Engineer Jennifer Doyle

Jennifer Doyle with a magnet for the High-Luminosity Large Hadron Collider Accelerator Upgrade Project. (Credit: Robinson Kuntz, Berkeley Lab)

Ben Safdi awarded Breakthrough Prize Foundation's 2026 New Horizons in Physics Prize

Ben Safdi's Breakthrough Prize banner presentation

Behind the Science: FIONA

Nuclear Science Division postdoc Marilena Lyklardopoulou (left) and Chemical Sciences Division graduate student Mirza Grebo (center) make adjustments as Jennifer Pore (right foreground), a researcher in Berkeley Lab's Nuclear Science and Chemical Sciences Divisions, shows viewers the FIONA spectrometer at the Lab's 88-Inch Cyclotron.

DESI Completes Planned 3D Map of the Universe and Continues Exploring

Alt text: Two fans of blue and white dots extending up and down from center on a black background.

Automating the Discovery, Optimization, and Control of Quantum Circuits

Antonin Sulc, a postdoctoral researcher in ATAP's Advanced Light Source Accelerator Physics Program. (Credit: Matthew Fullmer, Berkeley Lab)

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