{"id":2,"date":"2025-08-31T18:08:30","date_gmt":"2025-08-31T18:08:30","guid":{"rendered":"https:\/\/sisu.ut.ee\/matermodel2025\/?page_id=2"},"modified":"2025-09-11T11:08:10","modified_gmt":"2025-09-11T08:08:10","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/sisu.ut.ee\/matermodel2025\/","title":{"rendered":""},"content":{"rendered":"<h2 class=\"wp-block-heading has-text-align-center\">Ajakava \u2013 12. september 2025<\/h2>\n\n\n\n<p class=\"has-text-align-center has-large-font-size\">Physicum, ruum A101<\/p>\n\n\n\n<figure class=\"wp-block-table aligncenter\"><table class=\"table table-hover\"><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">09:45 \u2013 10:00<\/td><td colspan=\"2\">Avas\u00f5nad<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">10:00 \u2013 10:25<\/td><td><em>Modelling hot carriers in metallic nanoparticles: from creation to catalysis<\/em><\/td><td>Prof. Johannes Lischner, Imperial College London<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">10:25 \u2013 10:50<\/td><td><em>Data-driven machine learning modelling the gas-ionic liquid partition of organic solutes<\/em><\/td><td>Prof. Uko Maran, Tartu \u00dclikool<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">10:50 \u2013 11:10<\/td><td colspan=\"2\">Kohvipaus<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">11:10 \u2013 12:00<\/td><td><em>Unravelling hidden abilities of the most important molecule of life<\/em> *<\/td><td>Prof. Alexei Kornyshev, Imperial College London<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">12:00 \u2013 13:00<\/td><td colspan=\"2\">L\u00f5unapaus<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">13:00 \u2013 13:25<\/td><td><em>Exploring Local Atomic Environments with Advanced EXAFS Tools<\/em><\/td><td>Dr. Alexei Kuzmin, L\u00e4ti \u00dclikool<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">13:25 \u2013 13:50<\/td><td><em>Molecular Dynamics Simulations of Solvated Proteins for the Analysis of QENS Spectra<\/em><\/td><td>Dr. Maksym Golub, Tartu \u00dclikool<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">13:50 \u2013 14:15<\/td><td><em>Investigating non-equilibrium dynamics of laser excited tungsten with molecular dynamics<\/em><\/td><td>Dr. Artur Tamm, Tartu \u00dclikool<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">14:15 \u2013 14:35<\/td><td colspan=\"2\">Kohvipaus<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">14:35 \u2013 15:00<\/td><td><em>Machine learning and multiscale-multiphysics simulations in CERN accelerator materials studies<\/em><\/td><td>Prof. Veronika Zadin, Tartu \u00dclikool<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">15:00 \u2013 15:25<\/td><td><em>Theory and experiment in photoelectron spectroscopy \u2013 applications of HPC resources<\/em><\/td><td>Dr. Juhan Matthias Kahk, Tartu \u00dclikool<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">* Prof. Kornyshev osaleb videosilla vahendusel<\/figcaption><\/figure>\n\n\n\n<p class=\"has-text-align-center has-large-font-size\">Kell 15:45 \u2013 17:00 tutvustatakse f\u00fc\u00fcsikumi fuajees materjalide ja molekulide arvutisimulatsioonidega seotud bakalaureuse-, magistri- ja doktorit\u00f6\u00f6de projekte. Pakutakse ka jooke ja suupisteid \ud83d\ude42<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\">Registreerumine<\/h2>\n\n\n\n<p class=\"has-text-align-center has-large-font-size\">Osalemiseks palume registreeruda lehel <a href=\"https:\/\/survey.ut.ee\/index.php\/132913?lang=et\">https:\/\/survey.ut.ee\/index.php\/132913?lang=et<\/a> . Registreerumine on avatud kuni 9. septembrini 2025.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ajakava \u2013 12. september 2025 Physicum, ruum A101 09:45 \u2013 10:00 Avas\u00f5nad 10:00 \u2013 10:25 Modelling hot carriers in metallic nanoparticles: from creation to catalysis Prof. Johannes Lischner, Imperial College London 10:25 \u2013 10:50 Data-driven machine learning modelling the gas-ionic &#8230;<\/p>\n","protected":false},"author":524,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/matermodel2025\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/matermodel2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/matermodel2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/matermodel2025\/wp-json\/wp\/v2\/users\/524"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/matermodel2025\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":29,"href":"https:\/\/sisu.ut.ee\/matermodel2025\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":65,"href":"https:\/\/sisu.ut.ee\/matermodel2025\/wp-json\/wp\/v2\/pages\/2\/revisions\/65"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/matermodel2025\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}