Name: Lane Enrique Schultz
Type: User
Company: Computational Materials Group (CMG)
Bio: Doctoral candidate at the Department of Materials Science and Engineering at the University of Wisconsin-Madison.
Location: University of Wisconsin-Madison
Blog: leschultz.github.io/
Lane Enrique Schultz's Projects
Storage for multiple types of VASP runs.
Glass transition temperature calculations for Ajay.
Scripts to analyze Ben's Data
Scripts to compute the atomic packing density
Binder test
A collection of knowledge I have accumulated that I would like to transfer to others.
CNERG Website
Self taught materials.
Machine learning course at UW-Madison
My Curriculum Vitae
Visualization tools and tricks for DAGMC problems
Data analysis tool for LAMMPS
Results from the small laboratories from Digital Electronics.
Scripts to gather the enthalpy of monoatomic systems
Research for machine learning on the liquidus, onset to crystallization, and glass transition temperatures to determine the critical casting diameter for 747 compositions.
Analysis for Dr. George Bokas Voronoi Polyhedra
ICO like analysis for VASP trajectories.
Code for generating and analyzing LAMMPS runs.
GitHub profile
Website
A gallery website for the artwork from Maria Angela Schultz.
MAST machine learning incubator - for direct scientific use
A package for definining the domain of a machine learning model via a feature dissimilarity metric.
Machine learning on T*, Tg, and Tl.
A repo for hosting models
Figures, data, and models for MD CTs to learn GFA
The scripts written by Lane Schultz for MSE 760 in the University of Wisconsin-Madison
Pytorch wrapper for multi-task learning
A repo for all of my first author papers.