article · Nigerian Journal of Physics
The Material-Specific Characterization Data (MSCD) is a quantitative framework that formalized and advanced Matthias' empirical superconductivity rules. It converts periodic table trends and elemental properties into structured datasets for systematic materials analysis serving as a forerunner to modern AI-driven materials discovery. This paper presents a comprehensive pressure sensitivity classification for 13 superconducting materials under a pressure-renormalized MSCD model. Materials include Hg-based, Y-based, Bi-based, Tl-based, La-based and electron-doped cuprates, iron-based superconductors (FeSe, LaFeAsO), and the conventional BCS superconductor MgB2. Initial pressure coefficient dTc/dP|0 show high sensitivity (>1.0 K/GPa) for 10 out of 13 materials, with Tl-Hg mixed exhibiting the highest sensitivity (1.911 K/GPa) due to the synergistic hole transfer from dual reservoir layers. The largest overall dTc/dP|0 (2.50 K/GPa) is observed for LaFeAsO and La1.85Sr0.15CuO4 (LSCO). Response patterns are family-specific: Hg-based cuprates display a monotonic increase without saturation (β ~1.0×10-4 GPa-2), Y-, Bi-, Tl- and La-based cupratesexhibitdome-shaped behavior with optimal pressures between 5 GPa and 13 GPa,FeSe shows an extremely sharp initial rise (α = 0.05 GPa-1) consistent with nematic order suppression;MgB2 shows negative sensitivity (-0.259 K/GPa) typical of conventional BCS behavior. The model is robust for hole-doped cuprates (CV R2 = 0.938-0.990) but not for NCCO and FeSe (negative CV R2),indicating fundamentally different physics requiring separate parametrization. These findings establish pressure sensitivity as a measurable parameter to discriminate pairing mechanisms and guide high pressure experimental directions
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DOI: 10.62292/njp.v35(s).2026.721
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