Discover @meese-wj Open Source projects

W. Joe Meese (@meese-wj)

meese-wj

Stars
34
Global Rank 448,285 (Top 16 %)
Followers 7
Following 7
Registered over 4 years ago
Most used languages

Julia
52.9 %

C++
23.5 %

Jupyter Notebook
5.9 %

CSS
5.9 %

CMake 5.9 %

Python
5.9 %
Location 🇺🇸 United States
Country Total Rank 85,444
Country Ranking

Julia
314

CMake 970

UncertainHistogramming.jl

A lightweight Julia package to plot a density function for a given set of values with known uncertainties.

TelegraphNoise.jl

Small Julia package for generating random telegraph signals.

OnlineLogBinning.jl

Julia package to determine effective number of uncorrelated data points in a correlated data stream via an O(log N) online binning algorithm.

REWL_Simulator

A general simulator for classical thermodynamical systems based on the replica-exchange Wang Landau Monte Carlo sampling algorithm.

MonteCarloMeasurementUncertainty.jl

A Julia package for measuring observables from a time series generated by Monte Carlo sampling methods.

RandomStrainDistributions.jl

A package for generating and testing random strains on a lattice as generated by dislocations in the elastic limit.

NMRMonteCarlo

ClassicalMonteCarloSimulator.jl

A Julian simulation of temperature-dependent classical statistical mechanics in the canonical ensemble.

Smooth-Data-Fits

Timers

Timer base class to be inherited in future simulations.

Cross-Validation-Example

An example Notebook using the cross validation algorithm to fit smooth curves to noisy data

Jupyter Notebook

Data_Analysis

Library with numerical and statistical routines

Local-MFT-Heisenberg-Spins

Local MFT for classical Heisenberg spins with arbitrary interactions

Classical_Monte_Carlo_Engine

A general-purpose Monte Carlo simulation to measure statistical properties of a thermal ensemble.

Filesystem_Handler

A base class interface between the STL Filesystem and any future simulations.

Parameters2JSON.jl

Convenience wrapper for converting between parameter structs and JSON files in Julia.

JM4CP

Julian Methods for Computational Physics: Assorted Notes from a Self-Taught Julia Enthusiast