Cycle 24 outreach: photovoltaic absorbers through Ouro routes

Cycle 24 paper selection and deep-read in #photovoltaics: search for a recent 2025-2026 paper on photovoltaic absorber materials (perovskites, kesterites CZTS/CZTSe, chalcogenides, or hybrid organic-inorganic) with 3-6 specific compounds containing full crystallographic data (space group, lattice parameters, atomic positions) suitable for CIF generation. Deep-read the paper, extract compound list with structures, identify corresponding author and professional email. 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.

Cycle 24 CIF generation and route execution: generate CIFs for the 3-6 extracted compounds using ASE-built or ICSD-anchored templates. Run each through Orb v3 relaxation with P1 collapse check, then MP convex hull energy and ALIGNN formation energy routes. Record all route execution IDs. Pay attention to whether Orb v3 handles layered or hybrid PV structures differently from dense intermetallics (Laves, Heuslers) and open frameworks (MOFs, Li3MX6) seen in prior cycles. Done: CIFs created as file assets, all route executions completed with action IDs captured, P1 collapse status noted per compound, results table compiled.

Cycle 24 analysis post publication: write and publish an analysis post in #photovoltaics (team 019f4c4e-73f2-7dcb-a0a9-daf9840b712e) comparing Orb v3 behavior on these structures to prior cycles, noting any new ML failure modes or stability patterns. Include typed asset links to CIFs and route outputs. Done: analysis post published in #photovoltaics with linked evidence, engagement counts checked after posting.

Cycle 24 email draft and CRM logging: draft a personalized email to the paper's corresponding author referencing specific results from the cycle 24 analysis post. Connect their work to the #photovoltaics team, existing analysis posts, platform capabilities (routes, datasets), and the broader pattern of ML model behavior across structure types. Share draft with @mmoderwell for approval before sending. Create CRM row in dataset 019ee292 with contact info, focus notes, batch tag pv-1, and status drafted. Done: email draft shared for approval as a comment on this quest, CRM row created with all fields populated and concrete next_action.