This year’s Halbach Award for Innovative Instrumentation at the ALS went to a team of accelerator physicists and computer scientists who were able to use machine-learning techniques to solve a problem that has plagued third-generation light sources for a long time: fluctuations in beam size due to the motion of insertion devices. Read more »
ALS in the News (July-August 2021)
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- A conversation with Antoine Wojdyla
- This exotic particle had an out-of-body experience; these scientists took a picture of it
- CAMERA mathematicians build an algorithm to ‘do the twist’
- Scientist at Berkeley Lab played a hand in “inescapable” COVID-19 antibody discovery
- Main attraction: Scientists create world’s thinnest magnet
- Biosciences Area and Molecular Biology and Integrated Bioimaging Division leadership changes
- Shape-shifting protein helps SARS-CoV-2 evade human immune defenses
- Engineering new treatments for cancer
- Hope for coral reefs
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Autonomous Data Acquisition for Scientific Discovery
Researchers at large scientific facilities such as the ALS have applied a robust machine-learning technique to automatically optimize data gathering for a variety of experimental techniques. The work promises to enable experiments with large, complex datasets to be run more quickly, efficiently, and with minimal human intervention. Read more »
Functional and structural characterization of AntR, an Sb(III) responsive transcriptional repressor
Antimony is considered a priority environmental pollutant by the EPA. The ant operon of the antimony-mining bacterium, C. testosterone, confers resistance to Sb(III). The operon is regulated by the product of the first gene in the operon, antR. This is the first report of the structure and binding properties of antR, with high selectivity for environmental antimony. Read more »
Sifting through Fragments for COVID-19 Treatments
COVID-19 vaccines are essential for preventing serious disease, but the identification of new drugs is still necessary for the treatment of patients who become sick as a result of SARS-CoV-2 infection. Here, scientists used computational docking and crystallography to screen large numbers of small molecules for potential use in drug compounds. Read more »
This Exotic Particle Had an Out-of-Body Experience; These Scientists Took a Picture of It
Scientists have taken the clearest picture yet of electronic particles that make up a mysterious magnetic state called a quantum spin liquid (QSL), in which electrons decompose into spin-like particles (spinons) and charge-like particles (chargons). The achievement could facilitate the development of superfast quantum computers and energy-efficient superconductors. Read more »
Scientist at Berkeley Lab Played a Hand in “Inescapable” COVID-19 Antibody Discovery
An antibody therapy that appears to neutralize all known SARS-CoV-2 strains—including newly emerged mutants that can now “escape” from previous antibody therapies—was developed with a little help from structural biologist Jay Nix. His work helped generate detailed structural maps of how antibodies bind to the spike protein, enabling the selection of promising contenders. Read more »
Extreme Ultraviolet Second Harmonic Generation Spectroscopy in a Polar Metal
Berger et al. utilize extreme ultraviolet, second-harmonic generation (XUV-SHG) spectroscopy to investigate the polar metal phase of lithium osmate (LiOsO3), where the coexistence of polarity and metallicity is unexpected. As the first demonstration of XUV-SHG spectroscopy around a phase transition, these results pave the way for using nonlinear XUV methods to investigate broken symmetry from an element-specific perspective. Read more »
Assembly of the SARS-CoV-2 Replication Mechanism
Using a multimodal approach that included x-ray scattering at the ALS, researchers determined how components of the SARS-CoV-2 replication mechanism fit together. A better understanding of how this protein complex works provides insight into potential structural or functional weak spots to exploit for drug development. Read more »
David Prendergast Wins 2021 Shirley Award
David Prendergast, an internationally recognized computational scientist whose first-principles calculations of x-ray spectra have helped with the interpretation of countless experiments done at the ALS, has been awarded the 2021 Shirley Award for Outstanding Scientific Achievement by the ALS Users’ Executive Committee. Read more »
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