{"id":3688,"date":"2023-11-13T14:59:49","date_gmt":"2023-11-13T13:59:49","guid":{"rendered":"https:\/\/www.uni.lu\/research-en\/blog\/research-areas\/statistical-physics-machine-learning\/"},"modified":"2026-03-04T09:23:05","modified_gmt":"2026-03-04T08:23:05","slug":"statistical-physics-machine-learning","status":"publish","type":"research-areas","link":"https:\/\/www.uni.lu\/research-en\/research-areas\/statistical-physics-machine-learning\/","title":{"rendered":"Statistical Physics and Machine Learning"},"content":{"rendered":"\n
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\nHarnessing the physics of complex systems <\/h1>\n<\/div>\n<\/header>\n
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This research focuses on complex systems characterized by emergent collective phenomena such as critical behaviour, learning, and self-organisation. <\/p>\n\n\n

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    \nAbout<\/h2>\n\n\n\n
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    This cluster uses and develops statistical physics and machine learning to design materials that can undergo dramatic and controllable changes in their properties, develop new methodologies to accurately compute long range intermolecular forces, understand collective behaviors in interacting living systems, design efficient and reliable quantum and classical computing schemes.
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      \nComplex systems and statistical mechanics<\/strong><\/h3>\n
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      \nIntegrative Biophysics<\/strong><\/h3>\n
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      \nExperimental Soft Matter Physics<\/strong><\/h3>\n
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      \nMultifunctional ferroic materials<\/strong><\/h3>\n
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      \nPhysics of active matter<\/strong><\/h3>\n
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      \nPhysics of Living Matter<\/strong><\/h3>\n
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      \nQuantum Information Theory<\/strong><\/h3>\n
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      \nTheoretical Chemical Physics<\/strong><\/h3>\n
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      \nTheory of mesoscopic quantum systems<\/strong><\/h3>\n
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      \nResearch takes place at:<\/h3>\n\n\n
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        \n \n\"\"\n <\/figure>\n\n\nFaculty of Science, Technology and Medicine (FSTM)<\/span>\n\n<\/use><\/svg><\/span>\n<\/a>\n<\/li>
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        \n \n\"Logo <\/figure>\n\n\nDepartment of Physics and Materials Science<\/span>\n\n<\/use><\/svg><\/span>\n<\/a>\n<\/li><\/ul>\n<\/div><\/section>\n\n\n
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        \nDiscover more<\/h2>\n\n
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        • \n \n \n \n Key areas <\/span>\n <\/use><\/svg> <\/span>\n <\/a>\n<\/li>\n\n\n\n
        • \n \n \n \n Faculties <\/span>\n <\/use><\/svg> <\/span>\n <\/a>\n<\/li>\n\n\n\n
        • \n \n \n \n Interdisciplinary centres <\/span>\n <\/use><\/svg> <\/span>\n <\/a>\n<\/li>\n<\/ul>\n <\/div>\n<\/section>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":3687,"parent":0,"menu_order":0,"template":"","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"Statistical Physics & Machine Learning","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false},"field-of-interest":[55],"organisation":[110,59],"authorship":[],"acf":[],"yoast_head":"\nStatistical Physics and Machine Learning - Research area I University of Luxembourg<\/title>\n\n\n\n\n\n\n\n\n\n\n\n\t\n\t\n\t\n\n\n\t\n