Hierarchical deep learning neural network (HiDeNN): an artificial intelligence (AI) framework for computational science and engineering
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Publication:2020738
DOI10.1016/j.cma.2020.113452zbMath1506.68110OpenAlexW3093605970WikidataQ115734529 ScholiaQ115734529MaRDI QIDQ2020738
Sourav Saha, Orion L. Kafka, Zhengtao Gan, Jiaying Gao, H. Alicia Kim, Mahsa Tajdari, Xiaoyu Xie, Hengyang Li, Ling Cheng, Wing Kam Liu
Publication date: 26 April 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2020.113452
finite element methodartificial intelligencemultiscale analysismachine learningdeep learningmultiscale simulationreduced order modeldata-driven discovery
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Uses Software
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