{"id":1392,"date":"2024-02-26T22:34:10","date_gmt":"2024-02-26T21:34:10","guid":{"rendered":"https:\/\/www.hsu-hh.de\/hpccp\/?p=1392"},"modified":"2024-02-26T22:34:11","modified_gmt":"2024-02-26T21:34:11","slug":"seminar-series-computation-data-on-wed-28-02-2024-1600-1800","status":"publish","type":"post","link":"https:\/\/www.hsu-hh.de\/hpccp\/seminar-series-computation-data-on-wed-28-02-2024-1600-1800\/","title":{"rendered":"Seminar Series: Computation &amp; Data on Wed, 28.02.2024, 16:00-18:00"},"content":{"rendered":"\n<p>Location: Mensa-Room 0001; digital participation (link shared via\u00a0<a href=\"mailto:info-hpc-bw@hsu-hh.de\" rel='nofollow'>e-mail<\/a>)<\/p>\n\n\n\n<p><strong>Ali Khalifa: Neural Network-Based Multiscale Modeling of Deagglomeration due to Wall Impact and Collisions<\/strong><br>Predicting the evolution of micron-sized particle system&nbsp; in fluid flows is crucial for natural processes and industrial applications like pharmaceuticals. Fully-resolved simulations are costly due to scale variations. Hence, data-driven approaches offer an attractive alternative. This study enhances an Euler-Lagrange method with neural-network models for deagglomeration from collisions and wall impacts, integrated into LES-based simulations. Tested in various turbulent flows, such as funnel-duct dispersers and bend pipes, this approach provides cost-effective predictions.<\/p>\n\n\n\n<p><strong>Denis Kramer: Designing Functional Materials: Dream, Predict, Synthesise, Characterise, Repeat<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Location: Mensa-Room 0001; digital participation (link shared via\u00a0e-mail) Ali Khalifa: Neural Network-Based Multiscale Modeling of Deagglomeration due to Wall Impact and CollisionsPredicting the evolution of micron-sized particle system&nbsp; in fluid [&hellip;]<\/p>\n","protected":false},"author":3033,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false,"footnotes":""},"categories":[7,61,65],"tags":[138,96,102,94],"class_list":["post-1392","post","type-post","status-publish","format-standard","hentry","category-event","category-news","category-seminarcp","tag-dtec-bw","tag-event","tag-hpc-bw","tag-seminar-series-computation-data"],"_links":{"self":[{"href":"https:\/\/www.hsu-hh.de\/hpccp\/wp-json\/wp\/v2\/posts\/1392","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hsu-hh.de\/hpccp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hsu-hh.de\/hpccp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/hpccp\/wp-json\/wp\/v2\/users\/3033"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/hpccp\/wp-json\/wp\/v2\/comments?post=1392"}],"version-history":[{"count":1,"href":"https:\/\/www.hsu-hh.de\/hpccp\/wp-json\/wp\/v2\/posts\/1392\/revisions"}],"predecessor-version":[{"id":1393,"href":"https:\/\/www.hsu-hh.de\/hpccp\/wp-json\/wp\/v2\/posts\/1392\/revisions\/1393"}],"wp:attachment":[{"href":"https:\/\/www.hsu-hh.de\/hpccp\/wp-json\/wp\/v2\/media?parent=1392"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/hpccp\/wp-json\/wp\/v2\/categories?post=1392"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/hpccp\/wp-json\/wp\/v2\/tags?post=1392"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}