{
  "id": 709,
  "url": "https://arxiv.org/abs/2606.23051v1",
  "title": "Physics-governed executable modelling of triboelectric nanogenerators",
  "summary": "Predictive modelling of triboelectric nanogenerators (TENGs) remains fragmented across analytical theories, finite-geometry solvers and disconnected simulation workflows. These disparate approaches must be unified into an executable framework to advance quantitative TENG research.Here we introduce a charge-defined modelling framework and implement it as TENG-CLAW, a physics-governed platform for traceable TENG simulation. The framework establishes a self-consistent electrostatic hierarchy in whi",
  "authors": "Hongfa Zhao, Baiqiao Wang, Tiancong Zhao, Chun Jin, Hanlin Zhou, Mingrui Shu et al.",
  "category": "research",
  "topics": "bias-fairness",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-22T09:03:28.000Z",
  "fetched_at": "2026-07-14T14:14:46.032Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/709",
  "original_url": "https://arxiv.org/abs/2606.23051v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}