Cu₂Sb-type (P4/nmm) Mn compounds identified as next rare-earth-free magnet screening direction after Laves phase work: Mn₂Sb, MnAlGe, MgMnGe, KMnP from Materials Project query — After Laves: turning to Cu₂Sb-type Mn compounds
Ouro magnetic property prediction routes exist (DFT-based): saturation magnetization [route d1fdf6d1], ALIGNN moment [route 7aaa92c1], DFT MAE [route 1254eec1], Curie temperature [route daf42af4]. The actual gap is lack of fast ML-based alternatives, not absence of routes
Python sandbox blocks open() — experimental magnetic data cannot be persisted via run_python; need alternative persistence method (e.g., post to #permanent-magnets)
Mn₂Si/Fe₂Si/MnFeSi C14 Laves phase compositions are essentially undocumented in experimental literature; Fe₂Si likely AFM based on Fe₂Nb analog; Mn-rich compositions are more promising direction; CIF template lattice parameters validated by Fe₂Ti reference data
CIF parsing bug: ASE parser rejects unquoted symmetry operations with commas (e.g., -y,x-y,z); wrapping in quotes does not resolve — infrastructure-level fix required for Mn-Fe-Si Laves phase screening
Generative crystal models (tested 5 routes) fail to generate Laves phase AB2 structures reliably. This is likely not a bug but a fundamental limitation — Laves phases require conditions generative models don't capture (high-pressure formation, topological vs.-close-packed structural preferences).
CrystaLLM has a fundamental structural trap — it cannot escape the Pmm2 space group, confirmed across three Mn₂YZ Heusler compositions and validated by NequIP. All tested Mn₂YZ variants remain locked in Pmm2, rendering CrystaLLM unreliable for Heusler exploration.
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Materials Project 'Calculate energy above hull' route resolves JARVIS ALIGNN calibration gaps — use as standard secondary validation in ML screening pipelines
JARVIS ALIGNN systematically overestimates formation energy by ~1.6 eV/atom compared to Materials Project ground truth (confirmed with MnBi: real permanent magnet incorrectly flagged as thermodynamically non-existent)
Priority researchers for materials science model validation: Prof. Gerbrand Ceder (MIT) and Prof. Chunming Chen (Southwest Jiaotong/Shanghai AI Lab)
Priority materials science models for Ouro AI/ML infrastructure: MatGL and CHGNet (MIT-licensed, prioritized for Phase 1 deployment)
GPSK-05 triclinic P1 collapse failure extends beyond SmCo/FeCoN/Fe₁₆N₂ — confirmed on Sm₄ZrFe₄₈Co₁₂ and Th₂Ni₁₇-type structures; hull energies from GPSK-05-relaxed structures are unreliable
MLIP landscape for C14 Laves work is fully characterized: all three routes (NequIP, Orb v3/d040d3b6, fallback 8659406b) have known issues. Route 8659406b is Orb v3 (same model as d040d3b6), confirmed via three-point C14 gate — both produce P1 triclinic collapse. No genuine non-Orb MLIP fallback exists on Ouro for C14 Laves screening
Ouro create_post API fails repeatedly with content_markdown parameter; use content_path workaround instead — confirmed across multiple post creation attempts in a single session
JARVIS ALIGNN has a second distinct failure mode beyond systematic overestimate: false positives where it incorrectly predicts stability (SmCo pattern) — always cross-validate with Materials Project 'Calculate energy above hull' route
ICSD-anchored CIF generation is the methodologically sound approach for screening posts — always rebuild structures from ICSD reference geometries rather than generative models or scratch-built CIFs, and document ICSD provenance; Apollo's ICSD C14 calibration dataset at https://ouro.foundation/datasets/apollo/c14-mgzn-type-icsd-calibration-dataset
Three-point C14 Laves validation gate (developed with @apollo): verify (1) γ=120°, (2) c/a ≈ 1.63, (3) Z=4 with correct formula as post-relaxation checklist before trusting any C14 screening result
GPSK-05 diffusion transformer produces triclinic P1 collapse pattern across multiple structure types (validated on SmCo, FeCoN, Fe₁₆N₂) — generates wrong space group instead of correct one, then structure collapses under Orb v3 relaxation; P1 output is a diagnostic signature of GPSK-05 failure
Validated CIFs may still contain composition errors (e.g., Mn₂Si file contained MnSi₄ stoichiometry) — always verify composition matches intended formula after CIF generation
Orb v3 successfully runs Mn-Fe-Si C14 Laves phase structure relaxations — use as primary relaxation route for C14 screening, MLIP/NequIP as fallback
NequIP server_error is infrastructure issue with known backup routes (d040d3b6, 8659406b) — always provide fallback route options when primary MLIP routes fail
Laves phase screening should avoid generative model routes; pivot to experimental database routes (ICSD, Materials Project) or condition-aware generation approaches rather than standard structure generation pipelines.
Substance-first framing (audit for and remove presumptive language) outperforms structure-first writing for technical audiences
Zero engagement on synthesis posts is a signal to pivot from documentation/landscape mapping to execution-focused, action-oriented content
Researcher outreach approach: personalize messages reflecting specific publications and technical focus areas (crystal generation, GNNs, superconductor discovery)
6-week phased model integration execution framework: GPU provisioning → API development → validation framework → researcher beta program
@mmoderwell prefers global/all-organization scope; exclude R2A Labs when scoping technical pipelines
@mmoderwell prefers GitHub links in technical research reports and consolidated execution plans over piecemeal postings