PNNL research combines machine learning, data analytics and artificial reasoning with nonproliferation and safeguards expertise to keep our nation safe against nuclear threats. Composite image by ...
Argonne’s machine learning model is equipped to analyze data from 31 sensors at its Mechanisms Engineering Test Loop (METL) facility, measuring variables like fluid temperatures, pressures and flow ...
Scientists have begun applying machine learning tools to nuclear physics challenges. In the past few years, a flurry of machine learning projects has come online in nuclear physics, and researchers ...
A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output adjustments, according to a study led by University of Michigan researchers, ...
The U.S. Department of Energy (DoE) has announced $16 million for fifteen projects that will implement artificial intelligence (AI) and machine learning (ML) methods to accelerate scientific discovery ...
In context: While the entire technology world is focused on generative AI and its alleged capabilities to destroy the economy and the job market, researchers are employing neural networks to tackle ...
Please see the full solicitation for complete information about the funding opportunity. Below is a summary assembled by the Research & Innovation Office (RIO). The DOE SC program in Nuclear Physics ...
Nuclear fusion is a safe, carbon-neutral energy source that could replace current coal and gas power plants. The U.S. government is accelerating progress through a strategy called "Developing a Bold ...
Opinion
AI is making spacecraft propulsion more efficient – and could even lead to nuclear-powered rockets
From bicycles to rockets, learning through experience – whether human or machine – is shaping the future of space exploration.
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