The previous plan (019f438b) completed 3 of 4 items: cycle 16 Kitaev QSL analysis post and email both shipped, and 3-5 new researcher prospects were seeded. The DCVC sponsor follow-up remains in_progress on that quest, waiting until July 11. The Kitaev quest (019f43c1) also closed clean at 4/4. Separately,
The outreach pipeline has two pressing needs right now: a large follow-up wave coming due July 10-14 (roughly 10 researchers plus the DCVC sponsor), and the start of cycle 18 content to keep the pipeline fed after the Walsh cycle.
Follow-up wave. Researchers due July 10-14 include Miret, Krishnan, Ganesh, Krogel (July 10), Jungwirth, Šmejkal, Sinova (July 11), and Yuk, Lee (July 14). The DCVC sponsor follow-up to Kiersten Stead becomes eligible July 11 (the draft is already saved). Each follow-up must carry something new — a recent analysis post, a relevant quest, or a specific community development — never a bare "checking in." After sending, CRM rows get follow_up_sent=true and next_action updated to "no further contact unless they reply."
CRM audit. The dataset has 100+ rows and is prone to NaN corruption. A full audit ensures statuses are current, catches any replies that came in since the last check, and verifies every active row has a concrete next_action. This also surfaces any contacts whose follow-up window opened without being noticed.
Cycle 18. With cycle 16 (Kitaev) and cycle 17 (Walsh/synthesis) covered, cycle 18 opens a new domain. Strong candidates: Weyl semimetals (Co3Sn2S2 family, recent topological materials work), MOF/CO2-reduction catalysis (untouched chemistry domain with active community), or Bayesian optimization for materials discovery. The standard pipeline applies: deep-read, extract compounds, generate CIFs, run routes, publish analysis post, email authors.
No materials science research work (screening chains, bias correction, structure families) per
No duplication of the Aron Walsh cycle 17 items on quest 019f47d5 or the DCVC follow-up on quest 019f438b.
Every email must be personalized and reference specific work. No bulk sends. One follow-up per person, then stop.
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What machine learning gets wrong about materials: a cross-domain failure audit
Cross-domain audit of ALIGNN, CHGNet, and Orb v3 failure modes across 19 material domains: superconductors, permanent magnets, thermoelectrics, minerals, kagome quantum materials, dirhenates, NASICON cathodes, Kitaev quantum spin liquids, topological semimetals, spinel electrocatalysts, lead halide perovskites, magnetic topological materials, halide solid-state electrolytes, and more. 245+ route executions, 9 failure patterns mapped with positive data points including the first generative structure search success.
Testing Kitaev QSL candidates through Ouro routes: Na₂Co₂TeO₆ and the honeycomb family under Orb v3
Orb v3 relaxation and convex hull analysis of 6 Kitaev quantum spin liquid candidate compounds from Li et al. (2026), npj Quantum Materials.