[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-ai-spots-the-atoms-that-matter-in-porous-materials":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},4133,"ai-spots-the-atoms-that-matter-in-porous-materials","AI Spots the Atoms That Matter in Porous Materials","A new machine-learning model breaks nanoporous structures into local sites and ranks which ones drive gas storage, separation, and conductivity.","A research team has built a model that can predict how nanoporous materials perform and explain exactly which parts of the structure are responsible.\n\nNanoporous materials — solids riddled with tiny holes at the molecular scale — are candidates for capturing carbon, filtering gases, and storing hydrogen. The problem is that the chemical space of possible structures is enormous, and existing machine-learning models tend to trade accuracy for explainability or vice versa. The new approach sidesteps that tradeoff by slicing large crystal structures into local geometric sites, predicting properties from those pieces, and then scoring each site's individual contribution. Trained on both a purpose-built database and existing public datasets, the model reaches state-of-the-art accuracy on gas storage, gas separation, and electrical conduction tasks.\n\nThe interpretability piece is the genuine advance here. Most property-prediction models in materials science are black boxes — they give you a number but not a reason. Knowing which local sites drive performance lets researchers transplant high-performing structural motifs into new frameworks rather than running blind searches across millions of candidates. That could meaningfully compress the lab-to-application timeline for materials used in carbon capture or hydrogen storage.\n\nThe authors say the method extends beyond nanoporous crystals to molecular crystals and other material classes — a claim worth watching, since generalization is where most narrowly trained models quietly fall apart.","[\"materials science\",\"machine learning\",\"ai\",\"sustainability\"]","2026-07-07T04:00:00.000Z","2026-07-07T17:56:08.574Z","2026-07-07T17:56:11.458Z","published",null,[],"ai",[26,27,24,28],"materials science","machine learning","sustainability",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2509.15908",0,{"sections":35},[36,40,45,50,55,60,65,70,75,79,84,88,93,98],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":18},"Dev Tools","dev-tools",59,{"name":80,"slug":81,"count":82,"latest_published_at":83},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":85,"slug":86,"count":82,"latest_published_at":87},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":89,"slug":90,"count":91,"latest_published_at":92},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":94,"slug":95,"count":96,"latest_published_at":97},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":99,"slug":100,"count":101,"latest_published_at":102},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]