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Modeling nanoconfinement effects using active learning

Modeling nanoconfinement effects using active learning

6 May 2020
Javier E. Santos
M. Mehana
Hao Wu
M. Prodanović
Michael J. Pyrcz
Q. Kang
Nicholas Lubbers
Hari S. Viswanathan
    AI4CE
ArXivPDFHTML

Papers citing "Modeling nanoconfinement effects using active learning"

3 / 3 papers shown
Title
Predictive Scale-Bridging Simulations through Active Learning
Predictive Scale-Bridging Simulations through Active Learning
S. Karra
Mohamed Mehana
Nicholas Lubbers
Yu Chen
A. Diaw
...
Christoph Junghans
Q. Kang
Daniel Livescu
T. Germann
Hari S. Viswanathan
AI4CE
31
1
0
20 Sep 2022
Uncertainty quantification of two-phase flow in porous media via
  coupled-TgNN surrogate model
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model
Jun Yu Li
Dongxiao Zhang
Tianhao He
Q. Zheng
AI4CE
27
6
0
28 May 2022
AdjointNet: Constraining machine learning models with physics-based
  codes
AdjointNet: Constraining machine learning models with physics-based codes
S. Karra
B. Ahmmed
M. Mudunuru
AI4CE
PINN
OOD
24
4
0
08 Sep 2021
1