Standout Papers

Physics-Informed Deep Learning for Computational Elastodynamics without Labeled Data 2021 2026 2022 2024206
  1. Physics-Informed Deep Learning for Computational Elastodynamics without Labeled Data (2021)
    Chengping Rao, Hao Sun et al. Journal of Engineering Mechanics

Immediate Impact

54 standout
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Citing Papers

A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
2024 Standout
A PINN-based modelling approach for hydromechanical behaviour of unsaturated expansive soils
2024 Standout
2 intermediate papers

Works of Chengping Rao being referenced

Physics-Informed Deep Learning for Computational Elastodynamics without Labeled Data
2021 Standout
Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization
2020

Author Peers

Author Last Decade Papers Cites
Chengping Rao 139 322 45 166 13 664
Adrian Moure 148 386 128 150 14 800
Yohai Bar‐Sinai 165 251 58 141 24 774
Khemraj Shukla 132 285 33 102 29 752
Hanwen Wang 231 532 52 76 10 768
Jan N. Fuhg 80 341 209 329 26 843
David A. Barajas‐Solano 163 412 28 48 28 772
Bing Yu 278 598 49 158 7 762
G. Tartakovsky 136 318 31 39 13 726
Kamyar Azizzadenesheli 127 224 38 86 28 827
Jens Berg 265 381 24 93 9 585

All Works

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Rankless by CCL
2026