Skip to main navigation
Skip to search
Skip to main content
Idaho National Laboratory Home
Help & FAQ
Link opens in a new tab
Search content at Idaho National Laboratory
Home
Profiles
Research units
Research output
Datasets
Prizes
Activities
Press/Media
Technical Basis for Advanced Artificial Intelligence and Machine Learning Adoption in Nuclear Power Plants
Vivek Agarwal
, Cody Walker
, Koushik Araseethota Manjunatha
,
Torrey Mortenson
, Nancy Lybeck
,
Anna Hall
,
Rachael Hill
,
Andrei Gribok
Nuclear Science & Technology
Nuclear Safety & Regulatory Research
Research output
:
Book/Report
›
Technical Report
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Technical Basis for Advanced Artificial Intelligence and Machine Learning Adoption in Nuclear Power Plants'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Nuclear Power Plant
100%
Machine Learning
100%
Artificial Intelligence Learning
100%
Machine Learning Technology
100%
Nuclear Industry
50%
Plant Reliability
50%
Plant Safety
50%
Risk-informed
50%
Sustainability Programs
50%
Light Water Reactor Sustainability
50%
Plant Assets
50%
Technology Support
50%
Artificial Intelligence Machine Learning
50%
Adoption Challenges
50%
Maintenance Strategy
50%
Trustable
50%
Engineering
Nuclear Power Plant
100%
Learning System
100%
Artificial Intelligence
100%
Light Water Reactors
33%
Maintenance Strategy
33%
Chemical Engineering
Learning System
100%
Artificial Intelligence
100%