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ISSN Print: 2689-3967
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Archive FilesVolume 2, 2021 / Issue 2DOI: 10.1615/JMachLearnModelComput.v2.i2 Table of Contents: 
A MACHINE LEARNING APPROACH TO QUANTIFY DISSOLUTION KINETICS OF POROUS MEDIA
Huaxinyu  Wang, Chenghai  Li, Wei-W.  Xing, Yanan  Ye, Peng Wang
 
 
Huaxinyu  Wang  
Chenghai  Li  
Wei-W.  Xing  
Yanan  Ye  
Peng Wang DOI: 10.1615/JMachLearnModelComput.2021038529 
hp-VARIATIONAL PHYSICS-INFORMED NEURAL NETWORKS FOR NONLINEAR TWO-PHASE TRANSPORT IN POROUS MEDIA
Mingyuan Yang, John T.  Foster
 
 
Mingyuan Yang  
John T.  Foster DOI: 10.1615/JMachLearnModelComput.2021038005 
DATA-INFORMED EMULATORS FOR MULTI-PHYSICS SIMULATIONS
Hannah Lu, Dinara  Ermakova, Haruko Murakami Wainwright, Liange  Zheng, Daniel M. Tartakovsky
 
 
Hannah Lu  
Dinara  Ermakova  
Haruko Murakami Wainwright  
Liange  Zheng  
Daniel M. Tartakovsky DOI: 10.1615/JMachLearnModelComput.2021038577 
CONSTRAINED GAUSSIAN PROCESS REGRESSION: AN ADAPTIVE APPROACH FOR THE ESTIMATION OF HYPERPARAMETERS AND THE VERIFICATION OF CONSTRAINTS WITH HIGH PROBABILITY
Guillaume Perrin, S.  Da Veiga
 
 
Guillaume Perrin  
S.  Da Veiga DOI: 10.1615/JMachLearnModelComput.2021039837  | 
 
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