{"id":221988,"date":"2025-09-17T00:15:37","date_gmt":"2025-09-17T05:15:37","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/09\/machine-learning-and-quantum-chemistry-unite-to-simulate-catalyst-dynamics"},"modified":"2025-09-17T00:15:37","modified_gmt":"2025-09-17T05:15:37","slug":"machine-learning-and-quantum-chemistry-unite-to-simulate-catalyst-dynamics","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/09\/machine-learning-and-quantum-chemistry-unite-to-simulate-catalyst-dynamics","title":{"rendered":"Machine learning and quantum chemistry unite to simulate catalyst dynamics"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/machine-learning-and-quantum-chemistry-unite-to-simulate-catalyst-dynamics2.jpg\"><\/a><\/p>\n<p>Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from pharmaceuticals to plastics, rely on catalytic processes at some stage of production. Transition metals, in particular, stand out as highly effective catalysts because their partially filled d-orbitals allow them to easily exchange electrons with other molecules. This very property, however, makes them challenging to model accurately, requiring precise descriptions of their electronic structure.<\/p>\n<p>Designing efficient transition-metal catalysts that can perform under realistic conditions requires more than a static snapshot of a reaction. Instead, we need to capture the dynamic picture\u2014how molecules move and interact at different temperatures and pressures, where atomic motion fundamentally shapes catalytic performance.<\/p>\n<p>To meet this challenge, the lab of Prof. Laura Gagliardi at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) and Chemistry Department has developed a powerful new tool that harnesses electronic structure theories and machine learning to simulate transition metal catalytic dynamics with both accuracy and speed.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from pharmaceuticals to plastics, rely on catalytic processes at some stage of production. Transition metals, in particular, stand out as highly effective catalysts because their partially filled d-orbitals allow them to easily exchange electrons with other molecules. This very property, [\u2026]<\/p>\n","protected":false},"author":732,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19,1617,6],"tags":[],"class_list":["post-221988","post","type-post","status-publish","format-standard","hentry","category-chemistry","category-quantum-physics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/221988","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/732"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=221988"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/221988\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=221988"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=221988"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=221988"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}