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KNOWN_ISSUES.md
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- **Impact:** The dataset supports thermodynamic and structural screening only. It cannot be used to rank materials by ionic conductivity or SSE performance without augmentation (see ROADMAP.md for planned transport-property layers).
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- **Mitigation:** Use for upstream screening (stability, band gap, structural family), then pair with AIMD/NEB or experimental conductivity data for downstream SSE evaluation. The BVSE migration barrier proxy covers 23% of Li/Na entries at draft quality — use with caution, and consult the 74.8% skip rate documentation before filtering.
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### 2. JARVIS Energy Above Hull (EaH) —
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- **Status:**
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- **Scope:** 25,673 JARVIS entries (100%)
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### 3. Extreme Formation Energy Outliers (FE > 5 eV/atom)
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- **Impact:** The dataset supports thermodynamic and structural screening only. It cannot be used to rank materials by ionic conductivity or SSE performance without augmentation (see ROADMAP.md for planned transport-property layers).
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- **Mitigation:** Use for upstream screening (stability, band gap, structural family), then pair with AIMD/NEB or experimental conductivity data for downstream SSE evaluation. The BVSE migration barrier proxy covers 23% of Li/Na entries at draft quality — use with caution, and consult the 74.8% skip rate documentation before filtering.
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### 2. JARVIS Energy Above Hull (EaH) — ✅ Resolved
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- **Status:** ✅ Computed via internal convex hull (v1.0.0-rc2)
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- **Scope:** 25,673 JARVIS entries (100%)
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- **Coverage:** 96.5% of all entries now have EaH; 14,669 JARVIS entries got new EaH values via internal hull
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- **Unresolved:** 8,933 JARVIS entries lack EaH because their chemical system has <3 entries (too few for a convex hull). This is a fundamental sparsity limitation that cannot be resolved without cross-method normalization.
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- **Note:** This uses JARVIS-relative hull, not the MP/OQMD reference. Cross-method normalization remains future work.
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### 3. Extreme Formation Energy Outliers (FE > 5 eV/atom)
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