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superconductor

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A research paper detailing the model building process of principal component regression using mathematical notation and a demonstration using the superconductivity dataset from the UCI machine learning repository.

  • Updated May 27, 2020
  • Jupyter Notebook

Modified gravity framework exploring coherence-field coupling (ξRΦ²), curvature-EM coupling (κ_R RF²), and BSM parameter space (dark photon, axion). Validated 3D solver, null-result constraints, tabletop feasibility analysis.

  • Updated Jan 30, 2026
  • Python

An interactive Streamlit dashboard built by Srinivasta that models 2D superconductor thermodynamic phase stability, featuring unsupervised KMeans clustering and gradient descent threshold optimization. Inspired by breakthrough quantum research from Aalto University and RISE.

  • Updated Jun 30, 2026
  • Python

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