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Peridynamics enabled learning partial differential equations
Ali C. Bekar,
Erdogan Madenci
Aerospace and Mechanical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
12
Scopus citations
Overview
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Dive into the research topics of 'Peridynamics enabled learning partial differential equations'. Together they form a unique fingerprint.
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Mathematics
Learning
83%
Partial differential equation
66%
Differential operator
50%
Derivative
37%
Cahn-Hilliard Equation
37%
Learning Algorithm
36%
Noisy Data
35%
Term
32%
Linear Regression Model
30%
Linear regression
30%
Nonlinear Partial Differential Equations
29%
Regularization
26%
Robustness
25%
Regression Model
25%
Unknown
19%
Relationships
18%
Coefficient
15%
Operator
14%
Physics & Astronomy
learning
100%
partial differential equations
89%
regression analysis
70%
differential operators
59%
matrices
25%
operators
16%
coefficients
12%
Engineering & Materials Science
Partial differential equations
90%
Linear regression
46%
Mathematical operators
42%
Derivatives
37%
Learning algorithms
19%