Preprint / Version 1

Quantitative Energy-Property Relationships in IrZr₃ Superconductor with Negative Thermal Expansion

##article.authors##

  • Sudhakar Geruganti INDEPENDENT RESEARCHER

DOI:

https://doi.org/10.31224/4997

Keywords:

Goodness-of-fit, predictive modeling, critical current scaling, coherence length optimization

Abstract

This work establishes complete quantitative relationships between the energy density (E) and superconducting properties of IrZr₃, validated through R² goodness-of-fit analysis. We demonstrate: 

  1. Strong correlation between E and T_c (R² = 0.94)
  2. Predictive power for J_c (R² = 0.89)
  3. NTE-induced energy stabilization (U = -1.898 kJ/m³ baseline)

The model enables texture (A) and composition (wt%) optimization of superconducting performance.

Description:
Presents R²-validated scaling laws (T_c: R² = 0.94; J_c: R² = 0.89) with microstructure-aware corrections. Highlights the -1.898 kJ/m³ NTE stabilization energy and its role in enhancing N(E_F) by ~12%.

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Posted

2025-08-03