Virtual Models Enable Real-Time Decision Making for Next-Generation Nuclear Reactors

Virtual models enable real-time decision making for next-generation nuclear reactors

Digital twins are a virtual copy of a real-world system. They are a transformative tool that can assist scientists across numerous disciplines. Researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory have created a digital twin technology that could make nuclear reactors more efficient, reliable and safe. This technology uses advanced computer models and artificial intelligence (AI) to predict how reactors will behave, h…

Implementation of a real-time adaptive digital shaping for nuclear spectroscopy

This paper presents the structure, design and implementation of a new adaptive digital shaper for processing the pulses generated in nuclear particle …

Virtual Models Paving the Way for Advanced Nuclear Reactors

Digital twin technology using graph-neural networks may boost nuclear reactor efficiency and reliability.

Argonne's Virtual Models Pave the Way for Advanced Nuclear Reactors

LEMONT, Ill.–(BUSINESS WIRE)–Digital twins are virtual replicas of real-world systems, offering transformative potential across various fields. At the U.S. Department of Energy’s (DOE) Argonne National Laboratory, researchers have developed digital twin technology to enhance the efficiency, reliability, and safety of nuclear reactors. This technology leverages advanced computer models and artificial intelligence (AI) to predict reactor behavior,…