{"id":220506,"date":"2025-08-20T11:08:42","date_gmt":"2025-08-20T16:08:42","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/08\/machine-learning-interatomic-potentials-in-computational-materials"},"modified":"2025-08-20T11:08:42","modified_gmt":"2025-08-20T16:08:42","slug":"machine-learning-interatomic-potentials-in-computational-materials","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/08\/machine-learning-interatomic-potentials-in-computational-materials","title":{"rendered":"Machine Learning Interatomic Potentials in Computational Materials"},"content":{"rendered":"<p style=\"padding-right: 20px\"><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/machine-learning-interatomic-potentials-in-computational-materials.jpg\"><\/a><\/p>\n<p>Machine learning interatomic potentials (MLIPs) have become an essential tool to enable long-time scale simulations of materials and molecules at unprecedented accuracies. The aim of this collection is to showcase cutting-edge developments in MLIP architectures, data generation techniques, and innovative sampling methods that push the boundaries of accuracy, efficiency, and applicability in atomic-scale simulations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine learning interatomic potentials (MLIPs) have become an essential tool to enable long-time scale simulations of materials and molecules at unprecedented accuracies. The aim of this collection is to showcase cutting-edge developments in MLIP architectures, data generation techniques, and innovative sampling methods that push the boundaries of accuracy, efficiency, and applicability in atomic-scale simulations.<\/p>\n","protected":false},"author":732,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1635,6],"tags":[],"class_list":["post-220506","post","type-post","status-publish","format-standard","hentry","category-materials","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/220506","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=220506"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/220506\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=220506"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=220506"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=220506"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}