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  "path": "/releases/2026/03/260307155938.htm",
  "publishedAt": "2026-03-07T16:59:56.000Z",
  "site": "https://www.sciencedaily.com",
  "textContent": "Solid-state batteries could be safer and more energy-dense than today’s lithium-ion technology, but finding materials that allow ions to move quickly through solid electrolytes has been difficult. Researchers developed a machine learning pipeline that predicts Raman spectra and identifies a distinctive low-frequency signal linked to liquid-like ion motion inside crystals. This signal appears when rapid ion movement temporarily disrupts a crystal’s symmetry. The approach could dramatically speed up the discovery of superionic materials for advanced batteries.",
  "title": "AI discovers the hidden signal of liquid-like ion flow in solid-state batteries"
}