amkrajewski/MatSE580GuestLectures

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Created about 1 year ago
Updated 9 months ago

amkrajewski/MatSE580GuestLectures

amkrajewski

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Two guest lectures for MatSE580 at PSU to cover basics of (1) materials data manipulation, (2) storage, and (3) running ML methods on them.

nimCSO

nim Composition Space Optimization is a high-performance tool leveraging metaprogramming to implement several methods for selecting components (data dimensions) in compositional datasets, as to optimize the data availability and density for applications such as machine learning.

nimplex

NIM simPLEX: A concise scientific Nim library (with CLI and Python binding) providing samplings, uniform grids, and traversal graphs in compositional (simplex) spaces.

TDB-Highlighter

VS Code Language Extension provides syntax highlighting for the Thermodynamic DataBase (TDB) files used in the CALPHAD community to describe thermodynamic models of properties of materials.

PhD-Dissertation

My "Efficient Materials Informatics between Rockets and Electrons" PhD Dissertation in Materials Science and Engineering, defended on May 20th 2024, concisely spanning 352 pages and 109 figures.

MPDD-X

[playing around for now] One stop solution for getting material properties with ML models while contributing to a community database.

pqam-dparamhu2021

PyQAlloy-compatible Model for D Parameter Prediction Based on Yong-Jie Hu 2021 (10.1016/j.actamat.2021.116800)