Linda Young, an Argonne Distinguished Fellow in the Chemical Sciences and Engineering division will receive an honorary doctorate from Uppsala University in Sweden on Jan. 27.
Scientists at Argonne’s Advanced Photon Source have created a new method using artificial intelligence to speed up the analysis of X-ray diffraction data.
The Advanced Photon Source allows an intricate view of everything from proteins to nuclear fuel. With a planned upgrade, it will become even more powerful.
A team of Argonne scientists has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.
Researchers have developed antibodies that can bind to phosphohistidine, an unstable molecule that’s linked to cancer. To learn how the two bind together, the team turned to the powerful X-rays at Argonne’s Advanced Photon Source. These new insights into its structure will help scientists design better antibodies for potential treatments.
Ten organizations have created a pipeline of artificial intelligence and simulation tools to narrow the search for drug candidates that can inhibit SARS-CoV-2.
The research described in the winning paper is focused on using a high-performance, iterative reconstruction system for noninvasive imaging at synchrotron facilities.
New research from Argonne National Laboratory takes a step toward the “holy grail” of imaging: the ability to see the structure of a single, free-form molecule at atomic resolution.