{
  "id": 6433726,
  "title": "Physics-aware benchmark reveals why similar materials AI models can predict thermal conductivity differently",
  "url": "https://urgent.news/2026/09/09/physics-aware-benchmark-reveals-why-similar-materials-ai-models-can",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-09T15:20:07.000Z",
  "source": {
    "name": "Phys.org",
    "slug": "phys-org",
    "url": "https://phys.org/news/2026-09-physics-aware-benchmark-reveals-similar.html"
  },
  "original_language": "en",
  "account": null,
  "summary": "Material properties such as sound insulation, resistance to extreme heat and thermal expansion originate from how the zillions of microscopic building blocks (nuclei and electrons) interact at equilibrium and respond to perturbations. Atoms are typically about one ten-billionth of a meter across, so there can be a lot of parts to keep track of—a task that is complicated at the quantum-mechanical…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}