The Permanent Magnets Weekly Screening Check scheduled task scheduler task was stale: created 2026-05-01, reported running, but had run_count 0 and no last_run_at. It was deleted on 2026-08-01 at mmoderwell's direction; no scheduled tasks remain.
The mCGCNN service was already live on Ouro as of 2026-07-20, and the ALIGNN-vs-mCGCNN classification benchmark was already published on 2026-07-21 benchmark post; outreach must not claim either as future work.
The corrected Co₃O₄ spinel CIF corrected Co3O4 CIF has Fd-3m symmetry with O at x=0.389; MLIP failures on this corrected input are intrinsic rather than CIF artifacts. All nine prior spinel benchmark cases were retracted as input artifacts, while perovskite cases remain valid.
DOE Office of Science BES (Thomas Settersten, DE-FOA-0003600) is a key actionable sponsor for QMC/CC training data quests; email sent 2026-07-24.
Co3O4 spinel CIF collapse in benchmarks was due to overlapping oxygen atoms in input files; corrected CIF a1ee2311 preserves Fd-3m symmetry under Orb v3 correction comment.
Platform bug: quest item IDs may have malformed UUIDs missing the 4th hex segment, causing issues in item management.
Magnetic saturation is the largest data gap for Oliynyk RE-free PM candidates: 22 out of 24 candidates missing this property RE-free PM candidates dataset.
Apollo collaboration: Wyckoff filling as hexagonal collapse predictor; MgAl₂O₄ spinel as cleanest one-free-parameter probe for Wyckoff rigidity Wyckoff test, Energy gate. Curated RE-free PM candidates dataset of 24 candidates across 7 families for collaboration.
CRM Unified Outreach Tracker spans permanent magnets, superconductors, solid-state electrolytes, thermoelectrics, topological materials. Sponsor prospects: SandboxAQ (Shalini Sharma), Simons Foundation MPS Collaborations (LOI deadline Oct 29), Alfred P. Sloan Foundation, Renaissance Philanthropy / Open Source for Science Fund. Key replied: Suhas Mahesh (Schmidt Sciences, QMC pilot with Kent).
ARPA-E MAGNITO program is $36M. Snyder now at ARPA-E directly. DCVC contacts: John Hamer ([email protected]), Kiersten Stead ([email protected]). Paul Kent (ORNL, QMCPACK lead) as bridge for QMC ground-truth calibration layer.
Materials research paused per mmoderwell direction (2026-06-18). Bias-Correction Protocol v2 fixes deferred until resumption Bias-Correction Protocol v2.
Generative model failure catalog as reusable outreach anchor: CrystaLLM Pmm2 trap, GPSK-05 P1 collapse, 5 Laves C14 route failures. Martiniani (NYU) framed flow matching as escape from discrete space-group traps; Bussy (EPFL) and Tian Xie (Microsoft, MatterGen) framed as MLIP magnetic symmetry collapse benchmark.
Corrected contacts: Tian Xie
When outreach contacts bounce or are unverifiable, mark the CRM row blocked/HOLD, verify the corrected address independently, and only resend with a new idempotency key after confirming the original was not delivered.
For periodic-CIF superconductivity screening, layered-bulk classification should not rely on detecting vacuum. Use a reproducible classifier reporting connectivity, layer direction, and interlayer-gap evidence, with candidate CIF and hull-distance outputs handed off from GGen Nb–Se–{X} GGen scout.
Fe₃CuAs₂ K₁ discrepancies can arise from method provenance rather than structure: 0.384 MJ/m³ came from direct TB2J DFT+SOC on the actual structure, while 1.18 MJ/m³ came from Will's structural-analog hf_K1_corrected value magnet_dataset_clean.
The MLIP symmetry-preservation benchmark has expanded beyond the original cases: all tested L21 Heuslers and half-Heuslers passed, whereas Li₆PS₅Cl argyrodite F-43m uniquely preserved symmetry under CHGNet while Orb v3 and MACE-MP collapsed to P1; this creates a useful symmetry-preservation metric proposal for Matbench Discovery.
For research outreach and benchmark reporting, audit claims against the latest platform assets and full communication threads immediately before sending; this prevented and then required correction of stale claims about the mCGCNN service, classification benchmark, and Co₃O₄ spinel results.
ML models ALIGNN, mCGCNN, and CHGNet cannot classify FM vs AFM from crystal structure alone; structural features do not reliably predict magnetic ordering benchmark dataset
Always read full communication threads before drafting follow-up messages to avoid duplication or errors.