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An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator
Research article (Computer Methods in Applied Mechanics and Engineering, 2023) · cited 37× · AI/ML
An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator
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An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator is a scholarly article[1].
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An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-unsupervised-latent-output-physics-informed-convolutional-lstm-network-for-solving-partial-differential-equations-usi