JOSS Papers: Uncertainty quantification

Published Papers

published Published over 2 years ago

UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines

Python

10.21105/joss.04249

published Published over 2 years ago

PyThia: A Python package for Uncertainty Quantification based on non-intrusive polynomial chaos expansions

Python

@Nando-Farchmin

10.21105/joss.05489

published Published over 2 years ago

GaussianRandomFields.jl: A Julia package to generate and sample from Gaussian random fields

Julia

@PieterjanRobbe

10.21105/joss.05595

published Published over 2 years ago

AmpTorch: A Python package for scalable fingerprint-based neural network training on multi-element systems with integrated uncertainty quantification

Python C++ C G-code GAP

10.21105/joss.05035

published Published almost 3 years ago

UM-Bridge: Uncertainty quantification and modeling bridge

R Python PowerShell

@linusseelinger

10.21105/joss.04748

published Published about 3 years ago

PoUnce: A framework for automatized uncertainty quantification simulations on high-performance clusters

Python

10.21105/joss.04683

published Published over 3 years ago

UnlockNN: Uncertainty quantification for neural network models of chemical systems

Python PureBasic

10.21105/joss.03700

published Published over 3 years ago

RHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems

Python

10.21105/joss.04370

published Published about 4 years ago

MUQ: The MIT Uncertainty Quantification Library

C++ Objective-C

10.21105/joss.03076

published Published over 4 years ago

ogs6py and VTUinterface: streamlining OpenGeoSys workflows in Python

Jupyter Notebook

10.21105/joss.03673

Displaying papers 11 - 20 of 28 in total

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