24,991 to 25,000 of 25,353 Results
Nov 24, 2021 -
Code of the tBME method
RAR Archive - 245.4 KB -
MD5: 215dd1b236398f8c6638b322e7db88f8
Data for the publication "Diagnosis of model errors with a sliding time-window Bayesian analysis" in Journal Water Resource Research. This folder includes the files and data to generate the tBME analysis plots for Case 1, Case 2, Case 3, and real data Case. |
Nov 24, 2021 -
Code for relative permeabilities for two-phase flow between parallel plates with slip conditions
Objective-C Source Code - 771 B -
MD5: 4023c6b9ebbe56673b683e3e6cc127b5
Example script on how to use relativePermeabilities.m |
Nov 24, 2021 -
Code for relative permeabilities for two-phase flow between parallel plates with slip conditions
Adobe PDF - 160.5 KB -
MD5: 295831a59379d0f398f7dbe168a59b65
Underlying assumptions behind the relative permeabilities |
Nov 24, 2021 -
Code for relative permeabilities for two-phase flow between parallel plates with slip conditions
Objective-C Source Code - 4.3 KB -
MD5: f05cb34f371fe59b9208e7b5ea9f42a4
Calculation of relative permeabilities |
Oct 15, 2021 -
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Python Source Code - 2.8 KB -
MD5: 43201d1bd5e849ffc4b7794c6ab8e87c
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Oct 15, 2021 -
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Unknown - 89 B -
MD5: 8250c6756d6506ffa4b66dd979abe8eb
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Oct 15, 2021 -
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Python Source Code - 19.4 KB -
MD5: e29400ad67a376583c46cbf02660672d
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Oct 15, 2021 -
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Unknown - 127 B -
MD5: 6897ce0afd3ef2996882b9b277e51e72
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Oct 15, 2021 -
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Python Source Code - 2.1 KB -
MD5: ab53e5b08ee9fee9026c45a93398dab5
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Oct 15, 2021 -
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Python Source Code - 22.2 KB -
MD5: a2653482083db83b37563f17641c1ce2
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