{"ok":true,"trend":{"id":328750,"platform":"news","region":"global","key":"research news - physics-grounded materials ai for reliable materials discovery","title":"Research News - Physics-Grounded Materials AI for Reliable Materials Discovery","url":"https://news.google.com/rss/articles/CBMiowFBVV95cUxPSVZhMFJFekJwbVJ0VTJralZqQ1E3SnZqcE1BbFdreEJEOXJJYThDcm1BOERCYy1SZm96TEU3Q3hTaDVJNGFUd1ZIeEFBVklReHhCRFFqcjhiVHpnSHNrSDFZVTNMdjlxUi1FQzFhcjNNaFpRdmFoeG1PMGxURWNhaE9FRmtIY2taYmlZbEpCQTd2dldUeUNQd1dyR3VzQUQ2SXhJ?oc=5","first_seen":"2026-09-29T06:56:52.127042Z","last_seen":"2026-09-29T11:02:54.983975Z","last_rank":21,"peak_rank":16,"last_volume":null,"peak_volume":0,"seen_count":4,"score":1.0828125,"category_hint":"physics","section":"science","category":"physics","summary":"Tohoku University announced research on an AI model for materials discovery that is grounded in physics rather than relying purely on data patterns. The approach aims to make predictions of new materials more reliable and reproducible, addressing a common weakness of purely statistical machine learning in chemistry and materials science. The university released the work through its research news service.","why":"Materials-discovery AI is a fast-moving research area and physics-based constraints are seen as key to making its predictions trustworthy.","tone":"neutral","entities":["Tohoku University"],"summarized_at":"2026-09-29T13:00:20.542932Z","meta":{"via":"scan","lang":"en","term":"physics","source":"tohoku.ac.jp","generic":0.22,"published":"Tue, 29 Sep 2026 05:59:46 GMT"},"nw":0.38,"promo":0.02,"kind":"news_event","importance":1.6,"hidden":false,"hide_reason":null,"judged_at":"2026-09-29T06:56:52.551179Z","title_en":"Tohoku University Develops Physics-Grounded AI for Materials Discovery","section_name":"Science","category_name":"Physics","timeline":[{"captured_at":"2026-09-29T06:56:52.127042Z","rank":20,"volume":null},{"captured_at":"2026-09-29T08:18:54.550598Z","rank":16,"volume":null},{"captured_at":"2026-09-29T09:40:53.973108Z","rank":20,"volume":null},{"captured_at":"2026-09-29T11:02:54.983975Z","rank":21,"volume":null}],"posts":[{"platform":"news","url":"https://news.google.com/rss/articles/CBMiowFBVV95cUxPSVZhMFJFekJwbVJ0VTJralZqQ1E3SnZqcE1BbFdreEJEOXJJYThDcm1BOERCYy1SZm96TEU3Q3hTaDVJNGFUd1ZIeEFBVklReHhCRFFqcjhiVHpnSHNrSDFZVTNMdjlxUi1FQzFhcjNNaFpRdmFoeG1PMGxURWNhaE9FRmtIY2taYmlZbEpCQTd2dldUeUNQd1dyR3VzQUQ2SXhJ?oc=5","author":"tohoku.ac.jp","title":"Research News - Physics-Grounded Materials AI for Reliable Materials Discovery","snippet":null,"posted_at":"2026-09-29T05:59:46Z","likes":null}],"elsewhere":[],"window":"7d"}}