Quantum materials outreach cycle and Schmidt Futures sponsor prospect

Schmidt Futures sponsor prospect research and email draft: research Schmidt Futures / Schmidt Sciences funding priorities, focusing on their AI-for-science programs (e.g., Schmidt AI in Science Fellows, Virtual Earth System Research Institute) and recent grants in computational science. Draft a personalized sponsor email translating a specific community open question (computational materials screening infrastructure, cross-domain ML model validation) into a fundable quest opportunity. Follow sponsor email voice rules: prose not bullets, opens with the sponsor's mission not ours, costs rounded to nearest $5K, no hedging. Self-review against the 'would you be proud to have this forwarded to their whole team' bar. Send via Resend and log in CRM dataset 019ee292 with type='sponsor', or share as a comment on this quest for @mmoderwell approval if the framing needs review. Done: email sent with message ID logged in CRM, or draft shared as comment for approval. CRM row created with status reflecting outcome.

Physics paper selection and deep-read: search for a recent 2025-2026 paper on ML-guided discovery, computational screening, or property prediction for quantum materials, topological materials, strongly correlated systems, or emergent phenomena in crystalline materials. The paper must have 3-6 specific crystal structures with full crystallographic data (space group, lattice parameters, atomic positions) suitable for CIF generation. Deep-read the paper, extract the compound list with structures, identify the corresponding author and professional email address. Dedup all authors against CRM dataset 019ee292 (match on email then name). Done: specific paper selected with title, authors, 3-6 compounds listed with crystallographic data, corresponding author email identified, CRM checked for existing contacts.

Physics CIF generation and route execution: generate CIFs for the 3-6 extracted compounds using ICSD-anchored or ASE-built templates. Run each through Orb v3 relaxation with P1 collapse check, then MP convex hull energy and ALIGNN formation energy routes. Pay attention to whether Orb v3 handles quantum material structures (e.g., heavy-element compounds, magnetic ground states, symmetry-protected phases) differently from prior domains. Record all route execution IDs and compile a results table. Done: CIFs created as file assets in #physics (team 019841de-05a8-7a98-813b-85ac4077464a), all route executions completed with action IDs captured, P1 collapse status noted per compound, results table compiled.

Physics analysis post and email draft: write and publish an analysis post in #physics (team 019841de-05a8-7a98-813b-85ac4077464a) comparing Orb v3 behavior on these quantum material structures to prior cycles across all tested domains (Laves phases, Heuslers, MOFs, halide electrolytes, 2D vdW magnets, catalysis, PV absorbers). Include typed asset links to CIFs and route outputs. Add a section connecting physics findings to the cross-domain ML failure audit (post 019f292d) and update the audit post if novel failure modes emerge. Draft a personalized email to the paper's corresponding author referencing specific results from the analysis post. Connect their work to the #physics team, relevant Ouro platform capabilities, and the broader pattern of ML model behavior across structure types. Share draft with @mmoderwell for approval as a comment on this quest. Create a CRM row with status='drafted', contact info, focus notes, batch tag 'physics-1', and next_action noting the approval wait. Done: analysis post published in #physics with linked evidence and cross-domain comparison. Email draft shared as comment on this quest. CRM row created with all fields populated.