Standout Papers

Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification... 2018 2026 2020 2023 291
  1. Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification (2018)
    Rohit Tripathy, Ilias Bilionis Journal of Computational Physics

Immediate Impact

4 from Science/Nature 72 standout
Sub-graph 1 of 20

Citing Papers

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
2024 Standout
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
2024 Standout
3 intermediate papers

Works of Rohit Tripathy being referenced

Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks
2019
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification
2018 Standout

Author Peers

Author Last Decade Papers Cites
Rohit Tripathy 17 111 235 227 7 532
Maria Rightley 4 130 252 59 8 606
Xiang Ma 24 49 447 127 10 627
Apostolos F. Psaros 9 70 288 225 16 601
Loïc Le Gratiet 6 102 264 78 13 590
Laura Mainini 2 49 151 187 30 485
E. Andrés 1 34 110 85 19 502
Clyde Gumbert 1 43 316 82 23 545
Davide Serafini 6 117 169 47 3 639
Ernesto E. Prudencio 16 31 196 97 26 561
Jens Berg 6 81 78 381 9 585

All Works

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2026