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A new paper in Nature Reviews Physics highlights growing adoption of autonomous data collection across multiple science areas.
Teaching machine learning the basics of accelerator physics is particularly useful in situations where actual data don’t exist.
Warming causes more greenhouse gases to be emitted because of a cascading effect; the higher emissions, if unabated, are likely to continue long-term.
University of Utah nuclear engineering assistant professor Tara Mastren has been awarded a U.S. Department of Energy Early Career Research Award.
New findings might help inform the design of more powerful MRI machines or robust quantum computers.
Three Ph.D. students at the University of Georgia were named recipients of the 2020 Office of Science Graduate Student Research fellowship.
A radar meteorologist drawn to convective clouds has a knack for open-source programming and the gift of gab.
Scientists developed an automated approach for experiments to intelligently explore complex scientific problems, with minimal human intervention.
Argonne scientists has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the APS.
The Department of Energy Computational Science Graduate Fellowship celebrates 30 years of cultivating leaders and innovators.