GDSHelpers is an open-source package for automatized pattern generation for nano-structuring.
Simulate the magnetic response of 2D superconductors
Material parsers and other tools, scripts Initially developed for Grobid Superconductor
Spectral Solver for the Ginzburg-Landau equation
A website to quickly plot PPMS data and find the Critical current (Ic) of an IV curve. deployed at https://share.streamlit.io/iamashwin99/jj-ic-finder/main/app.py and https://jj-ic-finder.herokuapp.com/
Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors
Tools designed to extract Resonant Frequency & Coupling Quality Factor for Microwave Kinetic Inductance Detector Simulations using a Sonnet .csv data file.
# Polymer Fusion Framework
An ab initio ML-DFT (CHGNet + ASE) multi-physics solver & screening suite for tokamak reactor upgrades: RHEA divertor armor, non-magnetic structural walls, Pb-17Li breeder blankets, and REBCO HTS magnets.
These scripts were used to process the experimental data, create a data frame and perform machine learning. Three ML models were used: polynomial regression as the baseline model, ridge regression and random forest.
Do tabular foundation models keep their edge under distribution shift? Superconductor Tc prediction and screening (TabICL, TabDPT vs CatBoost)
FastAPI service on AWS Lambda exposing canonicalization, physics validation, and composition-similarity retrieval from Hydra MAGE
PROCESS systems-code parametric study of the toroidal field coil temperature margin in a fusion reactor, for machine design optimization and levelized cost of electricity (LCOE) minimization.
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