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Rachel Kurchin's Projects

200320_fun_tips_tricks icon 200320_fun_tips_tricks

A collection of useful tools and other computational goodness, originally shared by me at group meeting on 20 March 2020. Feel free to suggest additions! I've credited people I learned things from in the cases where I learned them recently enough to remember who taught me...

27100_demos icon 27100_demos

Computational demos developed for CMU course 27-100: Engineering the Materials of the Future

aimd_molly icon aimd_molly

Mocking up doing AIMD in Molly.jl using DFTK.jl for forces...

bpe_lecture icon bpe_lecture

Content for a lecture on Bayesian parameter estimation.

deepdish icon deepdish

Flexible HDF5 saving/loading and other data science tools from the University of Chicago

dennis_beer icon dennis_beer

Compile BeerAdvocate scores for currently-available brews at Belmont Beer Cellar.

ftp_hills icon ftp_hills

Some quick calculations about bike power and hills, using model outlined at https://ridefar.info/wp-content/uploads/pdf/method.pdf

general icon general

The official registry of general Julia packages

kurchin_cv icon kurchin_cv

LaTeX/Python code for maintaining my CV; integrates with website code (see rkurchin.github.io repo)

pv-bayes icon pv-bayes

Bayesian inference code for PV measurements. Now superseded by bayesim: https://github.com/PV-Lab/bayesim

pylada-defects icon pylada-defects

A computational framework to automate point defect calculations

pymatgen icon pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.

spectrapepper icon spectrapepper

A Python package for advanced processing and combinatorial analysis of spectroscopy data.

tufte-latex icon tufte-latex

A Tufte-inspired LaTeX class for producing handouts, papers, and books

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