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The Arithmetic Optimization Algorithm
The Arithmetic Optimization Algorithm
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The Arithmetic Optimization Algorithm

Abualigah, Laith ; Diabat, Ali ; Mirjalili, Seyedali ; Abd Elaziz, Mohamed ; Gandomi, Amir H.

Computer methods in applied mechanics and engineering, 2021-04, Vol.376, p.113609, Article 113609 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks
SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks
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SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

Haghighat, Ehsan ; Juanes, Ruben

Computer methods in applied mechanics and engineering, 2021-01, Vol.373, p.113552, Article 113552 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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3
Dwarf Mongoose Optimization Algorithm
Dwarf Mongoose Optimization Algorithm
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Dwarf Mongoose Optimization Algorithm

Agushaka, Jeffrey O. ; Ezugwu, Absalom E. ; Abualigah, Laith

Computer methods in applied mechanics and engineering, 2022-03, Vol.391, p.114570, Article 114570 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems
Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems
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Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems

Jagtap, Ameya D. ; Kharazmi, Ehsan ; Karniadakis, George Em

Computer methods in applied mechanics and engineering, 2020-06, Vol.365 (C), p.113028, Article 113028 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
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Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications

Zhao, Weiguo ; Wang, Liying ; Mirjalili, Seyedali

Computer methods in applied mechanics and engineering, 2022-01, Vol.388, p.114194, Article 114194 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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6
From Topology Optimization Design to Additive Manufacturing: Today’s Success and Tomorrow’s Roadmap
From Topology Optimization Design to Additive Manufacturing: Today’s Success and Tomorrow’s Roadmap
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From Topology Optimization Design to Additive Manufacturing: Today’s Success and Tomorrow’s Roadmap

Meng, Liang ; Zhang, Weihong ; Quan, Dongliang ; Shi, Guanghui ; Tang, Lei ; Hou, Yuliang ; Breitkopf, Piotr ; Zhu, Jihong ; Gao, Tong

Archives of computational methods in engineering, 2020-07, Vol.27 (3), p.805-830 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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7
Optimal polyhedral description of 3D polycrystals: Method and application to statistical and synchrotron X-ray diffraction data
Optimal polyhedral description of 3D polycrystals: Method and application to statistical and synchrotron X-ray diffraction data
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Optimal polyhedral description of 3D polycrystals: Method and application to statistical and synchrotron X-ray diffraction data

Quey, Romain ; Renversade, Loïc

Computer methods in applied mechanics and engineering, 2018-03, Vol.330, p.308-333 [Periódico revisado por pares]

Elsevier B.V

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8
hp-VPINNs: Variational physics-informed neural networks with domain decomposition
hp-VPINNs: Variational physics-informed neural networks with domain decomposition
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hp-VPINNs: Variational physics-informed neural networks with domain decomposition

Kharazmi, Ehsan ; Zhang, Zhongqiang ; Karniadakis, George E.M.

Computer methods in applied mechanics and engineering, 2021-02, Vol.374 (C), p.113547, Article 113547 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Unsupervised discovery of interpretable hyperelastic constitutive laws
Unsupervised discovery of interpretable hyperelastic constitutive laws
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Unsupervised discovery of interpretable hyperelastic constitutive laws

Flaschel, Moritz ; Kumar, Siddhant ; De Lorenzis, Laura

Computer methods in applied mechanics and engineering, 2021-08, Vol.381, p.113852, Article 113852 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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10
A Survey of Learning-Based Intelligent Optimization Algorithms
A Survey of Learning-Based Intelligent Optimization Algorithms
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A Survey of Learning-Based Intelligent Optimization Algorithms

Li, Wei ; Wang, Gai-Ge ; Gandomi, Amir H.

Archives of computational methods in engineering, 2021-08, Vol.28 (5), p.3781-3799 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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