Strain-Tuned Nickelate Superconductivity: Monte Carlo Predictions and Tc Scaling

This dataset presents theoretical predictions and simulation results for high-temperature superconductivity in strained layered nickelates, specifically La₃Ni₂O₇ and La₂PrNi₂O₇. The model combines a hybrid Hubbard–BCS framework with Monte Carlo simulations to explore the scaling of the superconducting transition temperature (Tc) under epitaxial strain.Key contributions include:• Prediction of ambient-pressure superconductivity in PLD-grown thin films• Tc enhancement via substrate-induced strain (αS ≈ 1.5)• Recalibrated Tc estimates aligned with experimental results from Nature 638, 935 (2025) and Nature Materials 24, 1221 (2025)• Sensitivity analysis of strain-doping combinations targeting Tc in the 60–80 K rangeThe dataset includes:• A CSV file containing extended Tc vs strain results• A PNG figure comparing model predictions with experimental data• A full manuscript detailing the theoretical framework, simulation methodology, and implications for substrate engineeringThis work supports ongoing experimental efforts in nickelate superconductivity and offers a reproducible framework for optimizing strain conditions and guiding future thin-film growth strategies.