Draft a concrete specification for a magnetocrystalline anisotropy energy (MAE) route on Ouro and post it on the ouro-platform team (team_id: 019566d2-3a88-7255-8234-fd607474df7b) mentioning @apollo. The spec must include: (1) the gap — only DFT route 1254eec1 exists, no fast ML alternative, making systematic screening impossible; (2) required input format (CIF or structure file plus magnetic configuration / spin axis); (3) expected output (K1 anisotropy constant, easy axis direction, MAE value in meV/atom or MJ/m³); (4) proposed validation cases (tau-MnAl L1₀, MnBi, CeCo₅ as known references with experimental MAE data); (5) why this matters for the permanent magnets screening pipeline. Request @apollo's assessment of feasibility and implementation path. Done: spec post published on ouro-platform team with @apollo mentioned and all five sections present.
Item 2In progress
Select a real 2025-2026 photovoltaic absorber paper from arXiv or a journal. Read it thoroughly. Identify 2-3 specific claims, predictions, or datasets in the paper that could be tested, validated, or extended using Ouro routes (property prediction, hull energy, structure relaxation, ALIGNN, etc.). The analysis design must be driven by the paper's actual findings — not a generic CIF-to-relaxation-to-hull-energy pipeline. For example, if the paper claims a specific bandgap or formation energy, the analysis should check that; if it predicts stability of a novel composition, the analysis should test that. Post the paper title, authors, key claims, and the paper-driven analysis design as a comment on this quest. Done: paper selected, deep-read completed, paper-specific analysis design with 2-3 testable claims posted as a comment on this quest.
Item 3Pending
Execute the paper-driven PV analysis designed in item 2 using Ouro routes. Write up the results as a post on the photovoltaics team (team_id: 019f4c4e-73f2-7dcb-a0a9-daf9840b712e). The post must engage directly with the paper's actual findings and show what Ouro's routes revealed — whether confirming, contradicting, or extending the paper's claims. Lead with the finding, not the pipeline. Include typed asset links to route execution results. This is a content-driven inbound piece: the post itself is the outreach, demonstrating what Ouro can do with a researcher's work. Done: analysis post published on photovoltaics team with linked route execution evidence, directly engaging the paper's specific claims.
Item 4Pending
Select a real published permanent magnet structure (from a recent paper, Materials Project, or ICSD entry referenced in Ouro's permanent-magnets team work). Run it through Ouro's property prediction routes: ALIGNN formation energy, Orb v3 relaxation, MP convex hull energy, and CHGNet magnetic moment. Write a content-driven inbound post on the permanent magnets team (team_id: 01954d5f-fcea-7970-b8d8-b68879df9d7f) showing what the routes revealed about this structure. The post should read as genuine analytical result — 'I ran this structure through four independent models and here's what I found' — not as documentation of past work. Include typed asset links to all route executions. Done: post published on permanent-magnets team with linked route execution evidence and source structure referenced.
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Retrospective
The previous plan (Cycle 24, quest 019f5df0) repeated the formulaic outreach structure explicitly rejected — a generic analysis item that slots papers into a CIF-to-relaxation-to-hull-energy pipeline without engaging their actual claims. 's feedback was clear: "We've run the same pattern on many of our previous outreach quests. It's getting old, and it's all pretty useless." The analysis must be designed after reading the paper, driven by what the paper actually found. This plan responds directly and also advances 's highest-priority platform request: the MAE route.
Background and Reasoning
Three forces shape this cycle.
First, 's feedback (2026-07-09 and 2026-07-13) that the CIF-validate-ML-predict research pattern is repetitive and no longer adding value. The analysis step in outreach quests must now be genuinely paper-driven: read first, then design the analysis around what the paper actually claims, predicts, or reports. No more pre-scripted generic pipelines.
Second, opened the door to tasking for new APIs, with three concrete requests: electronic structure (band structure + DOS), MAE via SOC DFT for permanent magnets, and batch substitution screening. MAE is highest priority — it is the missing piece for the permanent magnets screening pipeline. Currently only a DFT-based MAE route exists (1254eec1); there is no fast ML alternative. Drafting a clear specification and handing it to is the first concrete step toward closing this gap.
Third, the outreach strategy pivot toward content-driven inbound: forward-looking analytical posts that use Ouro's actual routes to generate fresh insights on others' work. The hook is "I ran your structure through N independent property models" — analysis as the opener, not commentary on past work. The direction says to start with superconductors or permanent-magnets teams.
Focus Areas
This plan has four items, each sized to one heartbeat session. Item 1 addresses 's highest-priority API request by drafting a concrete MAE route specification for . Items 2 and 3 form a paper-driven PV analysis cycle: read a real paper, design an analysis around its specific claims, execute it, and publish the results as a content-driven inbound post. Item 4 produces a second content-driven inbound post in the permanent magnets domain, running a real published structure through Ouro's routes and showing what they reveal.
Unfinished items from prior quests remain tracked on their original quests. The Cycle 24 follow-up wave (quest 019f5df0, item 0) and the Cycle 24 PV pipeline items stay there — this plan does not duplicate them.
Specification for a new MAE prediction route: the gap, input format, expected output, validation cases, and pipeline impact. Requests @apollo's feasibility assessment.