{
  "id": 106,
  "url": "https://arxiv.org/abs/2607.08003v1",
  "title": "Reaction-network reasoning with frontier models for experimentally confirmed catalyst-selectivity hypotheses",
  "summary": "Catalysts are essential for sustainable chemical manufacturing, yet discovering novel architectures remains a bottleneck dominated by trial-and-error experimentation and computationally intensive screening. In complex reactions such as electrochemical carbon dioxide reduction, product selectivity is governed by dynamic interfacial, electrolyte, and potential factors as well as kinetic pathway competition. Conventional descriptor-based machine learning and computational potentials struggle to res",
  "authors": "Sutanay Choudhury, Anwesha Banerjee, Udishnu Sanyal, Jorin Dawidowicz, Chiezugolum Ijeoma Odilinye, Jesun Firoz et al.",
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-09T00:11:40.000Z",
  "fetched_at": "2026-07-14T14:14:19.967Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/106",
  "original_url": "https://arxiv.org/abs/2607.08003v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}