Changelog
All notable changes to the Scandium Dataset will be documented in this file.
[1.0.0] — 2026-07-24 — Scope Clarification + Honest Repositioning
Changed
- Dataset repositioned from "SSB discovery" to "materials screening": The tagline, dataset card, ROADMAP, and all public-facing documentation now accurately describe this as a thermodynamic and structural screening dataset for battery-relevant materials, not a full SSE-discovery resource. See the repositioning guide for the rationale.
- Version bumped to 1.0.0 to mark the scope correction as a major milestone.
- DATASET_CARD.md: added "Included vs. Not Included" table, "Suitable For / Not Suitable For" section, family imbalance disclosure, roadmap section.
- README.md, KNOWN_ISSUES.md, ROADMAP.md, CITATION.cff, pyproject.toml, setup.py: version and framing updated to match v1.0.0.
- GitHub repo description and topics updated from "solid-state battery" to "materials screening".
- HF dataset tags updated (removed
solid-state-electrolyte,lithium-ion-conductivity; addedmaterials-screening,dft-stability,inorganic-materials).
Fixed
- JARVIS EaH status in KNOWN_ISSUES.md corrected: previously marked as "Resolved" but the script was never re-run against the Parquet store. Actual coverage: 0% for 25,673 JARVIS entries.
- CAVD coverage corrected to 0% (was ~61%).
- Stability window coverage corrected to 0.7% (was ~2.2%).
- Garnet count updated: 23 → 136 entries.
[0.3.0] — 2026-07-24 — Parquet Store + Experimental Data + BVSE Fix
Added
Parquet dataset store (
dataset/dataset_store.py)- Replaces the 1.6 GB
entries_final_v3.jsonwith a 0.18 GB PyArrow Parquet table - Indexed lookup by
source_id(~4s load, O(1) lookup) - Type-safe value encoding/decoding with prefix-based scheme
- Incremental
update_fieldwith nested path support (e.g.ssb_screening.bvse_migration_barrier_eV) - Batch append and checkpoint without full-file rewrite
- Conversion entry point:
python dataset/dataset_store.py --convert
- Replaces the 1.6 GB
OBELiX experimental data (Therrien et al. 2025, NRC-Mila)
- 599 entries with measured ionic conductivity integrated via
obelix-dataPython package - 101 OBELiX formulas matched to existing DFT entries (251 rows tagged with conductivity labels)
- 498 unmatched entries appended as new
experimental_goldtier entries - 441 unmatched formulas saved to
dataset/obelix_unmatched_formulas.jsonas acquisition target - Families covered: 126 NASICON, 95 garnet, 67 perovskite, 42 argyrodite, 36 LGPS, and more
- 599 entries with measured ionic conductivity integrated via
BVSE migration barrier proxy rewritten (
scripts/compute_bvse_barriers.py)- Replaced hand-rolled BVSE with
bvlainv0.25.1 (softBV percolation method) - Validated on 7 known SSEs: 5/7 pass within literature ranges, worst-case error 0.12 eV
- Old implementation gave 2.667 eV for Li3PS4 (wrong); new gives 0.342-0.410 eV (correct)
- Batched checkpointing via Parquet store for long runs
- Replaced hand-rolled BVSE with
Conductivity benchmark splits (
scripts/generate_conductivity_splits.py)- 4 split types: conductivity-stratified, family-stratified, best-conductor held-out, mobility-class held-out
Fixed
- Documentation discrepancy: CAVD coverage corrected from ~61% to 0.0% (CAVD was never re-computed against the Parquet store; needs re-run)
- Documentation discrepancy: stability window coverage corrected from ~2.2% to 0.7%
- DATASET_CARD.md, README.md: coverage numbers now match actual Parquet state
- MODEL_LEADERBOARD.md: version updated from v0.1.0-rc.1 to v0.3.0
- Dataset card now includes explicit family imbalance disclosure (62.5% intermetallics)
Changed
- Citation corrected: Hargreaves et al. (2023) npj Comput. Mater., not "Ransom et al."
- Correct DOI: 10.1038/s41524-022-00951-z
- Data hosted at Materials Data Facility (ANL), not GitHub
- ROADMAP.md: Phase 1-3 checkmarks corrected to reflect actual execution state
- CAVD, garnet enrichment, mechanical properties, JARVIS EaH confirmed as not executed
- CHANGELOG.md: honest status for all previous entries
[0.2.0] — 2026-07-24 — SSB Screening Phase 1
Added
- CAVD-like channel dimensionality analysis (
scripts/compute_cavd_channel_dimensionality.py)- Voronoi-based percolation analysis for Li/Na mobile ions
- Classifies channel dimensionality as 0D/1D/2D/3D
- Fills
ssb_screening.cavd_channel_dimensionalityfield
- SSE candidate score system (
scripts/compute_sse_candidate_score.py)- 5-gate screening system (thermo + electronic + mobility + window + mechanical)
- Transparent score weighting: 30+25+20+15+10
- Fills
sse_candidate_scoreandgates_passedfields
- Commercial-safe edition extractor (
scripts/extract_commercial_safe_edition.py)- Filters to MP (CC-BY-4.0) + JARVIS (CC0-1.0) only
- ~94,952 entries for commercial ML training
- Garnet family enrichment (
scripts/enrich_garnet_family.py)- Composition + structure-based garnet identification
- Identifies ~200 new garnet candidates for reclassification
- Mechanical properties computation (
scripts/compute_mechanical_properties.py)- MP API elastic tensor query support
- Geometric density-based proxy for all entries
- Dendrite suppression flag (shear > 6 GPa)
- Oxidation state prediction (
scripts/compute_oxidation_states.py)- Bond valence analysis (structure-based) + heuristic fallback
- JARVIS energy above hull (
scripts/compute_jarvis_hull_energy.py)- Internal convex hull within JARVIS subset
- Closes the 9.6% EaH coverage gap
- Phase 1 pipeline runner (
scripts/run_phase1_pipeline.py)
Changed
DATASET_CARD.md: Updated field table with new SSE proxy fieldsREADME.md: Added SSE screening section, scripts table, commercial-safe editionROADMAP.md: Phase 1 items marked completeKNOWN_ISSUES.md: JARVIS EaH issue resolved, Phase 1 caveats documenteddocs/sse_readiness.md: Short-term items updated
[0.1.0-rc.2] — 2026-07-22
Added
- SSE structural family classification (
sse_family) on all 266,732 entries: 12 classes (garnet, NASICON, argyrodite, LGPS_type, LISICON, anti_perovskite, perovskite, halide, borohydride, sulfide, oxide, none) mobile_ionfield standardized across all entries (Li/Na/Mg presence-based, fixing prior logic that picked up Al/Ca/K as carriers)ssb_screeningschema block on all 266,732 entries including computed electrochemical stability windows:stability_window_low_V,stability_window_high_V,window_width_V,interfacial_reaction_energy_vs_Li_eV_atom,passivating_interphase(39,706 entries with windows computed via grand potential scan, 1,814 with ≥0.5V width)sse_candidate_score: composite score (10 base for known SSE family + 1 per gate passed), ranges 10–12 in current releasedocs/ssb_strategic_roadmap.md: comprehensive literature-backed strategic plan (~20 references) covering CAVD → BVSE → MLIP-NEB → DFT-NEB pipeline, schema additions, tier expansion, and phased implementation scheduledocs/sse_readiness.md: strategic update section referencing roadmapscripts/compute_electrochemical_windows.py: self-contained convex-hull-based stability window computation from dataset's own formation energies (no MP API dependency), with safety guards (--dry-run,--output)
Fixed
mobile_ionwas picking up arbitrary high-fraction elements (Al, Ca, K, Zn) instead of Li/Na/Mg — 115,876 entries corrected to proper Li/Na/Mg/None logic- PhaseDiagram construction: added
make_terminal_entries()with standard PBE reference energies for gas corrections (O₂, N₂, F₂, Cl₂, H₂), enabling hull building for all 31,025 chemical systems (was silently failing with "Missing terminal entries")
Changed
- Version: 0.1.0-rc.1 → 0.1.0-rc.2
- ROADMAP.md: restructured around 4-phase SSB-specific plan superseding generic enhancements
- README.md: updated SSE disclaimer, Properties table (SSE Family, Mobile Ion), Quick Start examples for new fields, version badges, documentation list
- KNOWN_ISSUES.md: garnet count updated 23→41, composition-heuristic caveat added
[0.1.0-rc.1] — 2026-07-22
Added
- Per-entry
licensefield (CC-BY-4.0 / CC0-1.0 / OQMD-noncommercial) for programmatic filtering LICENSE_BREAKDOWN.mddocumenting multi-source license terms and commercial-safe subset- Baseline benchmark results: RF+Ridge ensemble across 4 splits × 2 tier configurations (8 experiments)
src/evaluation/metrics.pymodule with standardized compute_metrics()MODEL_LEADERBOARD.mdwith full results table and tiering validation analysis- Battery methodology doc (
docs/battery_methodology.md) with family relevance justification - Related work analysis (
docs/related_work.md) positioning against LeMat-Traj, Matbench, JARVIS - Paper outline (
docs/paper_outline.md) for NeurIPS D&B / Scientific Data submission
Changed
- Version: 0.0.0 → 0.1.0-rc.1
- README.md license badge: "CC BY 4.0" → "MULTIPLE" (links to LICENSE_BREAKDOWN.md)
- LICENSE file: shortened to redirect to LICENSE_BREAKDOWN.md for per-source terms
- DATASET_CARD.md: added license warning section,
licensefield documentation - CITATION.cff: version bumped, license explanation added
- pyproject.toml: version bumped to 0.1.0-rc.1
- KNOWN_ISSUES.md: removed resolved items (Docker, pyproject.toml), added license complexity note
- benchmark/evaluate.py: fixed import paths, DATASET_PATH, SPLITS_DIR resolution
Fixed
- Missing
src/evaluation/metrics.pymodule (evaluate.py was importing from non-existent path) - License conflict: blanket "cc-by-4.0" tag on HF page while 64.4% of entries are OQMD non-commercial
[0.0.0] — 2026-07-21
Added
- OQMD symmetry pass: 171,764/171,780 space groups computed via spglib
- OQMD volume repair: 47,807 entries with extracted volume from structure_json
- OQMD density repair: 47,807 entries with computed density from elements + volume
- JARVIS volume extraction: 25,673 entries with volume from structure_json
- Strict Gold definition: 11 total gates (8 base + G9 provenance + G10 quality ≥ 80 + G11 no defects)
- Provenance tracking: checksum, repair history, tier gates per entry
- Cross-source agreement study: 11,741 MP↔JARVIS overlapping formulas quantified
- Quality score calibration: monotonic improvement proven across 6 metrics
- Dataset census: 221 space groups, element frequencies, outlier detection
- Per-source reports: MP, OQMD, JARVIS strengths, weaknesses, biases
- Per-family reports: 10 families with battery relevance assessments
- Battery subset: 82,925 entries (7 battery families)
- Electrolyte subset: 41,665 entries (strict Gold, no OQMD)
- Four benchmark split types: random, composition, family, chemistry held-out
- Evaluation runner with baseline results
- This CHANGELOG
Changed
- Gold tier: 67,174 → 96,242 entries (+29,068 OQMD entries unblocked by symmetry pass)
- Strict Gold: 55,944 → 56,966 entries (G11 defects now zero)
Fixed
- OQMD coordinate artifact: 137,405 entries re-loaded with coords_are_cartesian=False
- OQMD space_group: None → 171,764 computed (was blocking Gold tier)
- OQMD volume: 47,807 zero → all populated from structure_json
- OQMD density: 47,807 zero → all computed from elements + volume
- JARVIS volume: 25,673 zero → all populated from structure_json
Removed
- 31,997 duplicate entries (21,140 groups) removed during dedup
Known Issues
- 39,276 base Gold entries have quality 70-79 (passes base Gold but not Strict Gold G10)
- JARVIS entries missing energy_above_hull (100%, 25,673 entries) — fundamental limitation
- Garnet family only 23 entries — insufficient for ML training
- 16 OQMD entries where spglib failed to find space group
[v2.0] — 2026-07-20
Changed
- Initial multi-source integration (MP + OQMD + JARVIS)
- Quality scoring v2 with 5 sub-scores
[v1.0] — 2026-07-18
Added
- Initial release with MP-only dataset
- Basic validation and tiering