{"id":18162,"date":"2025-11-18T16:26:34","date_gmt":"2025-11-18T15:26:34","guid":{"rendered":"https:\/\/www.ipcf.cnr.it\/?post_type=team&#038;p=18162"},"modified":"2025-11-18T16:27:33","modified_gmt":"2025-11-18T15:27:33","slug":"gabriele-amante","status":"publish","type":"team","link":"https:\/\/www.ipcf.cnr.it\/it\/team\/gabriele-amante\/","title":{"rendered":"Gabriele Amante"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Interessi di ricerca<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">My research focuses on the theoretical and computational study of complex molecular systems, with the goal of understanding the links between microscopic structure, dynamics, and macroscopic properties. I use ab initio molecular dynamics simulations and machine learning methods to develop accurate, reactive interatomic potentials capable of describing fundamental physico-chemical processes such as bond formation and breaking, structural fluctuations, and nuclear quantum effects. By analysing atomic configurations and local fields, I aim to bridge atomistic descriptions and collective phenomena, contributing to a deeper understanding of the mechanisms that govern the behaviour of molecular matter.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Parole chiave<\/strong>: Ab initio molecular dynamics, Machine learning application to molecular system, Quantum Chemistry<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>","protected":false},"featured_media":0,"template":"","team_cats":[55,63],"class_list":["post-18162","team","type-team","status-publish","hentry","team_cat-messina","team_cat-phd-students-and-research-fellows"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"Research interests My research focuses on the theoretical and computational study of complex molecular systems, with the goal of understanding the links between microscopic structure, dynamics, and macroscopic properties. I use ab initio molecular dynamics simulations and machine learning methods to develop accurate, reactive interatomic potentials capable of describing fundamental physico-chemical processes such as bond\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/www.ipcf.cnr.it\/it\/team\/gabriele-amante\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.10\" \/>\n\t\t<meta property=\"og:locale\" content=\"it_IT\" \/>\n\t\t<meta property=\"og:site_name\" content=\"IPCF -\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"Gabriele Amante - IPCF\" \/>\n\t\t<meta property=\"og:description\" content=\"Research interests My research focuses on the theoretical and computational study of complex molecular systems, with the goal of understanding the links between microscopic structure, dynamics, and macroscopic properties. I use ab initio molecular dynamics simulations and machine learning methods to develop accurate, reactive interatomic potentials capable of describing fundamental physico-chemical processes such as bond\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/www.ipcf.cnr.it\/it\/team\/gabriele-amante\/\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/150.145.64.139\/wp-content\/uploads\/2023\/01\/cropped-logo-ipcf-e1674465398734.png\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/150.145.64.139\/wp-content\/uploads\/2023\/01\/cropped-logo-ipcf-e1674465398734.png\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2025-11-18T15:26:34+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2025-11-18T15:27:33+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:title\" content=\"Gabriele Amante - IPCF\" \/>\n\t\t<meta name=\"twitter:description\" content=\"Research interests My research focuses on the theoretical and computational study of complex molecular systems, with the goal of understanding the links between microscopic structure, dynamics, and macroscopic properties. 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