Benchmark on Artificial Intelligence and Machine Learning for Scientific Computing in Nuclear Engineering

Recent performance breakthroughs in artificial intelligence (AI) and machine learning (ML), including advances in deep learning (DL) and the availability of powerful, easy-to use ML toolboxes, have led to unprecedented interest in AI and ML among nuclear engineers.

Nonetheless, the extensive capabilities of AI and ML remain largely untapped within the realm of scientific computing in nuclear engineering. One formidable hurdle in harnessing their power is the frequent mismatch between existing ML methodologies and the specific demands of nuclear engineering applications and their extensive validation requirements.