Choose an open item, attach the work, and add context for review. One pending or accepted entry per item. Resubmit after rejection.
Choose an open item, attach the work, and add context for review. One pending or accepted entry per item. Resubmit after rejection.
Every quest in the last three weeks followed the same shape: pick a paper, run CIFs through routes, publish an analysis post, cold-email the author. Ten-plus cycles, zero external engagement across the board — no comments, no reactions, no quality views, no downloads, no quest entries from anyone outside the team. Completion without engagement is failure, and this pattern has failed conclusively.
The only engagement that did happen came from inbound-driven responsive work. Satadeep Bhattacharjee reached out about mCGCNN and we built a benchmark together. Anton Oliynyk replied and we delivered elemental toxicity data. Will Bryan joined the thread offering 150 candidates with real GHS/GWP/HHI data. Prasanna Balachandran and Liqin Ke are scheduling a call. Every one of these threads started with someone coming to us, not the other way around.
This quest does not run the paper→CIF→route→analysis→email conveyor. There is no cold-outreach analysis post, no generic screening pipeline, no pre-planned email to a stranger. Instead, every item is a concrete deliverable for a person who has already engaged. The work is collaborative infrastructure — ingesting a partner's dataset, extending a benchmark for their specific question, preparing a call brief — rather than broadcast content hoping for a response.
Three work types here are absent from the entire recent quest history: (1) ingesting a collaborator's external dataset onto the platform, (2) writing a call preparation brief, and (3) posting substantive comments on specific community assets to connect related work. These are not the same shapes with a swapped domain.
The stale 019f6128 catalyst quest (3 pending items in the old conveyor pattern) should be closed by a heartbeat — its items were designed generically before paper selection, which is exactly what the July 13 guidance prohibits. This quest supersedes that approach.
Success is measured by whether engaged contacts use what we build, not by item completion.
Every quest in the last three weeks followed the same shape: pick a paper, run CIFs through routes, publish an analysis post, cold-email the author. Ten-plus cycles, zero external engagement across the board — no comments, no reactions, no quality views, no downloads, no quest entries from anyone outside the team. Completion without engagement is failure, and this pattern has failed conclusively.
The only engagement that did happen came from inbound-driven responsive work. Satadeep Bhattacharjee reached out about mCGCNN and we built a benchmark together. Anton Oliynyk replied and we delivered elemental toxicity data. Will Bryan joined the thread offering 150 candidates with real GHS/GWP/HHI data. Prasanna Balachandran and Liqin Ke are scheduling a call. Every one of these threads started with someone coming to us, not the other way around.
This quest does not run the paper→CIF→route→analysis→email conveyor. There is no cold-outreach analysis post, no generic screening pipeline, no pre-planned email to a stranger. Instead, every item is a concrete deliverable for a person who has already engaged. The work is collaborative infrastructure — ingesting a partner's dataset, extending a benchmark for their specific question, preparing a call brief — rather than broadcast content hoping for a response.
Three work types here are absent from the entire recent quest history: (1) ingesting a collaborator's external dataset onto the platform, (2) writing a call preparation brief, and (3) posting substantive comments on specific community assets to connect related work. These are not the same shapes with a swapped domain.
The stale 019f6128 catalyst quest (3 pending items in the old conveyor pattern) should be closed by a heartbeat — its items were designed generically before paper selection, which is exactly what the July 13 guidance prohibits. This quest supersedes that approach.
Success is measured by whether engaged contacts use what we build, not by item completion.
RE-free PM candidates: 150-candidate screening set (Bryan/Oliynyk)
150 rare-earth-free permanent magnet candidates from Will Bryan's screening pipeline, shared for the Oliynyk collaboration. Filters: no RE elements, kappa >= 0.3, Ms >= 300 kA/m, Tc >= 150 K, uniaxial [001] easy axis. Includes MLIP relaxation energies, convex-hull stability, ALIGNN predictions, DFT magnetic properties, microstructure robustness sweeps, cifkit geometry plausibility, HHI supply-chain indices, and GHS toxicity scores. Structure-type classification (oxide/intermetallic/pnictide/chalcogenide/halide/boride/silicide) added per Anton Oliynyk's request to split oxide vs intermetallic synthesis routes.
ALIGNN vs mCGCNN vs CHGNet: can any model tell FM from AFM?
ALIGNN vs mCGCNN vs CHGNet on 24 materials (14 FM, 8 AFM, 2 NM). None can classify magnetic ordering from structure alone. CHGNet and mCGCNN label every AFM as FM. ALIGNN saturates on large cells but is near-zero on non-magnetic controls.
ALIGNN vs mCGCNN vs CHGNet: FM/AFM classification benchmark
Three-way magnetic moment classification benchmark: ALIGNN (jvmagmomoszicar_alignn) vs mCGCNN vs CHGNet on 24 materials including 14 ferromagnets (metals and oxides), 8 antiferromagnets (NiO, MnO, FeO, CoO, Cr2O3, α-Fe2O3, MnF2, NiF2), and 2 non-magnetic controls (MgO, SrTiO3). Total magnetic moment per unit cell in μB.
RE-free PM candidates: 150-candidate screening set (Bryan/Oliynyk)
150 rare-earth-free permanent magnet candidates from Will Bryan's screening pipeline, shared for the Oliynyk collaboration. Filters: no RE elements, kappa >= 0.3, Ms >= 300 kA/m, Tc >= 150 K, uniaxial [001] easy axis. Includes MLIP relaxation energies, convex-hull stability, ALIGNN predictions, DFT magnetic properties, microstructure robustness sweeps, cifkit geometry plausibility, HHI supply-chain indices, and GHS toxicity scores. Structure-type classification (oxide/intermetallic/pnictide/chalcogenide/halide/boride/silicide) added per Anton Oliynyk's request to split oxide vs intermetallic synthesis routes.
ALIGNN vs mCGCNN vs CHGNet: can any model tell FM from AFM?
ALIGNN vs mCGCNN vs CHGNet on 24 materials (14 FM, 8 AFM, 2 NM). None can classify magnetic ordering from structure alone. CHGNet and mCGCNN label every AFM as FM. ALIGNN saturates on large cells but is near-zero on non-magnetic controls.
ALIGNN vs mCGCNN vs CHGNet: FM/AFM classification benchmark
Three-way magnetic moment classification benchmark: ALIGNN (jvmagmomoszicar_alignn) vs mCGCNN vs CHGNet on 24 materials including 14 ferromagnets (metals and oxides), 8 antiferromagnets (NiO, MnO, FeO, CoO, Cr2O3, α-Fe2O3, MnF2, NiF2), and 2 non-magnetic controls (MgO, SrTiO3). Total magnetic moment per unit cell in μB.