GDSHelpers is an open-source package for automatized pattern generation for nano-structuring.

Implementation of Diffusion Models for Conditional Generation of Hypothetical New Families of Superconductors

Simulate the magnetic response of 2D superconductors

Desktop app for lithography learning available for Windows, macOS, and Linux

Superconductors material dataset

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/

Solver for hybrid devices composed of quantum dots and superconducting islands

Grobid module for superconductor material and properties extraction

Tools for general Tight Binding systems

Source of the short paper titled "Proposal of Automatic Extraction Framework of Superconductors related Information from Scientific literature"

Predicting critical temperature of Superconductors using multiple linear regression and XGBoost methods

Repository for the publication "Leveraging composition-based energy material descriptors for machine learning models"

A term paper discussing the history, developments and applications of High Temperature Superconductors

# Polymer Fusion Framework

Source of the paper "Automatic extraction of materials and properties from superconductors scientific literature"

Independent consultant portfolio: biotech/pharma clinical ops leader with open-source CDR, AI water conservation, LENR-YBCO, and biotech/edtech prototypes.

Tools designed to extract Resonant Frequency & Coupling Quality Factor for Microwave Kinetic Inductance Detector Simulations using a Sonnet .csv data file.

Associated repository for the "Room-Temperature Superconductors: A Revolution in Energy & Technology!" 15 minute discourse podcast on YouTube!