Physics-informed neural networks for the point kinetics equations for nuclear reactor dynamics

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

Extreme learning machine: Theory and applications

Guang-Bin Huang, Qinyu Zhu, Chee‐Kheong Siew · Neurocomputing · 2006 · 13.2K citations

Computing, Computer Science, Artificial Intelligence +9

Artificial neural networks for solving ordinary and partial differential equations

IEEE Transactions on Neural Networks · 1998 · 2.2K citations · Full text

Natural Sciences, Computational Engineering, Computer Science +17

Nuclear-Reactor Analysis

Alexander Sesonske · Nuclear Technology · 1976 · 948 citations

Engineering, Nuclear Engineering, Heat Transfer +16

Automatic differentiation in machine learning: a survey

arXiv (Cornell University) · 2015 · 848 citations · Full text

Computing, Computer Science, Derivatives +10