JOSS Papers: uncertainty quantification

All Papers
3185
 Published Papers
2835
 Active Papers
350
published Published over 1 year ago

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

Julia
@PieterjanRobbe
10.21105/joss.05595
published Published over 1 year 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
@ajmedford
10.21105/joss.05035
published Published almost 2 years ago

UM-Bridge: Uncertainty quantification and modeling bridge

R Python PowerShell
@linusseelinger
10.21105/joss.04748
published Published almost 2 years ago

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

Python
@JakobBD
10.21105/joss.04683
published Published over 2 years ago

UnlockNN: Uncertainty quantification for neural network models of chemical systems

Python PureBasic
@a-ws-m
10.21105/joss.03700
published Published over 2 years ago

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

Python
@DCoppitters
10.21105/joss.04370
published Published about 3 years ago

MUQ: The MIT Uncertainty Quantification Library

C++ Objective-C
@mparno
10.21105/joss.03076
published Published about 3 years ago

ogs6py and VTUinterface: streamlining OpenGeoSys workflows in Python

Jupyter Notebook
@joergbuchwald
10.21105/joss.03673
published Published about 3 years ago

Qlunc: Quantification of lidar uncertainty

Python Jupyter Notebook
@PacoCosta
10.21105/joss.03211
published Published over 3 years ago

ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran

Python Fortran
@shahmoradi
10.21105/joss.02741
Displaying papers 11 - 20 of 26 in total

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ISSN 2475-9066