PN 5-6

SimTech Project PN 5-6 "Physics-informed ANNs for dynamic, distributed and stochastic systems"

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681 to 690 of 758 Results

Std_Nr1_No1_it9.png Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator PNG Image - 135.7 KB - MD5: ad8b380c38d988a5832a9a630f772161
Std_Nr1_No1_it9.png Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator PNG Image - 117.9 KB - MD5: 8494af2895341330fffbd7360341f018
std.txt Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator Plain Text - 20.8 KB - MD5: a1d43702326704c931d887c98ac84f7e
twostep.py Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator Python Source Code - 8.5 KB - MD5: f109de5ac86bbc055a60d39ac86dc8cc
utils.py Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator Python Source Code - 5.6 KB - MD5: b18e2e964207c1c5631790e41f5d2bb9
wavetools.py Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator Python Source Code - 8.9 KB - MD5: ed55405b58aef65d2662255ddd8d9cc4
freundlich.rar Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network RAR Archive - 4.9 MB - MD5: 2bbf50daf95d7202805cae40478ab4f6 Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm.
langmuir.rar Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network RAR Archive - 4.6 MB - MD5: 13fc5f6002a31acb194132b43364068d Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm.
linear.rar Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network RAR Archive - 4.9 MB - MD5: d3d4f64769bbcc9f269ae8f7da229e86 Dissolved and total contaminant concentration data generated with the linear sorption isotherm.
add_evaluations_realData.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 4.1 KB - MD5: 6fee5b73c68cdf41aa2e07b588b49d08

Std_Nr1_No1_it9.png

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

PNG Image - 135.7 KB -

Std_Nr1_No1_it9.png

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

PNG Image - 117.9 KB -

std.txt

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

Plain Text - 20.8 KB -

twostep.py

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

Python Source Code - 8.5 KB -

utils.py

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

Python Source Code - 5.6 KB -

wavetools.py

Feb 15, 2023 - Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

Python Source Code - 8.9 KB -

freundlich.rar

Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

RAR Archive - 4.9 MB -

Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm.

langmuir.rar

Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

RAR Archive - 4.6 MB -

Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm.

linear.rar

Nov 2, 2022 - Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

RAR Archive - 4.9 MB -

Dissolved and total contaminant concentration data generated with the linear sorption isotherm.

add_evaluations_realData.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 4.1 KB -

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