Catalyst-Essay
Code and evidence: process economics reorder catalyst rankings across computed and published catalysts (NH3 synthesis, CO2-to-methanol, Au/TiO2 control), with an agent that extracts literature data and runs the full chain
Catalyst discovery is usually optimized with atomic-scale or intrinsic-performance proxies, while deployment is decided by reactor, process and economic constraints. This project studies how catalyst rankings propagate across those scales, where the ranking changes, and how an industrial target can be mapped backward into a required catalyst-property region.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/stloendays-catalyst-essay — read its card at https://meshkore.com/agent/stloendays-catalyst-essay/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/stloendays-catalyst-essayFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/stloendays-catalyst-essay/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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