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Physics-informed neural networks for the point kinetics equations for nuclear reactor dynamics
Author(s):
Enrico Schiassi
,
Mario De Florio
,
Barry D. Ganapol
,
Paolo Picca
,
Roberto Furfaro
Publication date
Created:
March 2022
Publication date
(Print):
March 2022
Journal:
Annals of Nuclear Energy
Publisher:
Elsevier BV
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Numerical Algebra, Matrix Theory, Differential-Algebraic Equations, and Control Theory
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Extreme learning machine: Theory and applications
Guang-Bin Huang
,
Qin-Yu Zhu
,
Chee-Kheong Siew
(2007)
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Physics-Informed Neural Networks: A Deep Learning Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations
M. Raissi
,
P Perdikaris
,
G.E. Karniadakis
(2019)
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Artificial neural networks for solving ordinary and partial differential equations
I.E. Lagaris
,
A Likas
,
D.I. Fotiadis
(1998)
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Author and article information
Journal
Title:
Annals of Nuclear Energy
Abbreviated Title:
Annals of Nuclear Energy
Publisher:
Elsevier BV
ISSN (Print):
03064549
Publication date Created:
March 2022
Publication date (Print):
March 2022
Volume
: 167
Page
: 108833
Article
DOI:
10.1016/j.anucene.2021.108833
SO-VID:
dc757581-fe57-478d-9267-c408be3c08a2
Copyright ©
© 2022
License:
https://www.elsevier.com/tdm/userlicense/1.0/
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