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The Arithmetic Optimization Algorithm
Abualigah, Laith, Diabat, Ali, Mirjalili, Seyedali, Abd Elaziz, Mohamed, Gandomi, Amir H.
Published in Computer methods in applied mechanics and engineering (01.04.2021)
Published in Computer methods in applied mechanics and engineering (01.04.2021)
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Dwarf Mongoose Optimization Algorithm
Agushaka, Jeffrey O., Ezugwu, Absalom E., Abualigah, Laith
Published in Computer methods in applied mechanics and engineering (01.03.2022)
Published in Computer methods in applied mechanics and engineering (01.03.2022)
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Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
Yu, Jeremy, Lu, Lu, Meng, Xuhui, Karniadakis, George Em
Published in Computer methods in applied mechanics and engineering (01.04.2022)
Published in Computer methods in applied mechanics and engineering (01.04.2022)
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An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications
Samaniego, E., Anitescu, C., Goswami, S., Nguyen-Thanh, V.M., Guo, H., Hamdia, K., Zhuang, X., Rabczuk, T.
Published in Computer methods in applied mechanics and engineering (15.04.2020)
Published in Computer methods in applied mechanics and engineering (15.04.2020)
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Physics-informed neural networks for high-speed flows
Mao, Zhiping, Jagtap, Ameya D., Karniadakis, George Em
Published in Computer methods in applied mechanics and engineering (01.03.2020)
Published in Computer methods in applied mechanics and engineering (01.03.2020)
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A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
Lu, Lu, Meng, Xuhui, Cai, Shengze, Mao, Zhiping, Goswami, Somdatta, Zhang, Zhongqiang, Karniadakis, George Em
Published in Computer methods in applied mechanics and engineering (01.04.2022)
Published in Computer methods in applied mechanics and engineering (01.04.2022)
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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
Published in Computer methods in applied mechanics and engineering (15.06.2020)
Published in Computer methods in applied mechanics and engineering (15.06.2020)
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PPINN: Parareal physics-informed neural network for time-dependent PDEs
Meng, Xuhui, Li, Zhen, Zhang, Dongkun, Karniadakis, George Em
Published in Computer methods in applied mechanics and engineering (01.10.2020)
Published in Computer methods in applied mechanics and engineering (01.10.2020)
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A new family of Constitutive Artificial Neural Networks towards automated model discovery
Linka, Kevin, Kuhl, Ellen
Published in Computer methods in applied mechanics and engineering (01.01.2023)
Published in Computer methods in applied mechanics and engineering (01.01.2023)
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Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Kissas, Georgios, Yang, Yibo, Hwuang, Eileen, Witschey, Walter R., Detre, John A., Perdikaris, Paris
Published in Computer methods in applied mechanics and engineering (01.01.2020)
Published in Computer methods in applied mechanics and engineering (01.01.2020)
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