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Celebrating Ross Schlueter’s Retirement: Over Three Decades of Innovation at Berkeley Lab Engineering

Ross Schlueter – Photo by Marilyn Sargent

2025 Physical Sciences Area Strategic Plan

2025 Strategic Plan cover image close-up

Tapering In Gas Jets Increases The Efficiency Of 10-GeV Class Laser Plasma Accelerators

(a) Gas jet density measurement setup. The phase offset of the probe beam (∼3 cm diameter) after it passes through the gas plume was measured using a wavefront sensor. (b) Example microscope image of gas jet throat used for width measurements. (c) Raw phase data measured from a representative shot. A 3D model of a small section of the 30 cm elliptical gas jet is shown in (d). Image courtesy of the ATAP Division

The Technologies Fueling the Future of Fusion

Alt text: Two researchers examine a cylindrical component mounted in a testing rig on a workbench in a lab filled with equipment and tools.

Expert Interview: Cameron Geddes on Fusion Energy

Modeling And Design Of Compact Beam Transport For Laser-Driven Proton Beams

Illustration of the permanent magnet dipole. The yoke is indicated in red, and the magnets are shown in green. The segmentation is for simulation purposes. Credit: Jared De Chant & Carl A. Williams, Berkeley Lab

STAR Data Reveal 'Splash' of the Quark-Gluon Plasma

An artistic representation of a liquidlike fireball of "quark-gluon plasma" (QGP) created in a collision of two gold ions at the Relativistic Heavy Ion Collider (RHIC). This collision has also produced a correlated spray of particles (a "jet") back-to-back with a photon (wavy purple line). Scientists from RHIC's STAR Collaboration showed that interactions of the jet particles cause the QGP to splash sideways, like the wake behind a power boat, enabling them to measure properties of the plasma. (Valerie A. Lentz/Brookhaven National Laboratory)

Machine Learning Helps Ease the Jitters of High-Power Lasers

(l-r) Researchers Anthony Gonsalves, Alessio Amodio, and Dan Wang at the Lawrence Berkeley National Laboratory align precision optics to prepare the Berkeley Lab Laser Accelerator (BELLA) Petawatt laser for laser-plasma accelerator (LPA) experiments. The machine learning–based control algorithm stabilizes the high-power laser’s pointing at the LPA target.(Credit: Thor Swift/Berkeley Lab).

Berkeley Lab develops gamma spectroscopy optimization code for international nuclear safeguards

Optimal cluster labels found by LBNL’s spectre-ml software for a uranium measurement. The optimal measurement uses only cluster label #2. Courtesy of the Nuclear Science Division

Complex analyses, uncertainty quantification, and machine learning

Architecture of the RESuM model and overview of connections with different neutrino projects. Courtesy of the Nuclear Science Division

Engineering Division employees recognized for their volunteer efforts

Berkeley Lab Deputy Director Carol Burns (left), with Engineering Division volunteers Kristopher Pearson (center) and Dee Pickett. Credit: Robinson Kuntz, Berkeley Lab

Strategic investments in engineering infrastructure: driving innovation and supporting the evolving needs of scientific research

Caption: The Engineering Division’s Building 77 entryway (January 2024). Credit: Marsha Fenner, Berkeley Lab

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