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Tag: Computational X-Ray Science
Using artificial intelligence, Argonne scientists develop self-driving microscopy technique
Argonne researchers have tapped into the power of AI to create a new form of autonomous microscopy.
Argonne Distinguished Fellow Linda Young to receive honorary doctorate
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.
Hitting a new peak: Scientists enhance X-ray data analysis with artificial intelligence
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.
Bringing discoveries to light: X-ray science at Argonne
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.
Now in 3D: Deep learning techniques help visualize X-ray data in three dimensions
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.
Advanced Photon Source helps reveal how antibodies bind a molecule linked to cancer
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.
The AI-driven initiative that’s hastening the discovery of drugs to treat COVID-19
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.
Argonne team collects Best Paper Award at SC20
The research described in the winning paper is focused on using a high-performance, iterative reconstruction system for noninvasive imaging at synchrotron facilities.
A step ahead in the race toward ultrafast imaging of single particles
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.