BEGIN:VCALENDAR VERSION:2.0 CALSCALE:GREGORIAN PRODID:iCalendar-Ruby BEGIN:VEVENT CATEGORIES:Lectures & Presentations DESCRIPTION:INPP Seminar | Extending the Range of Nuclear Many-Body Calcula tions with Bayesian Machine Learning\, Nov. 14\n\nThe Institute for Nuclear and Particle Physics seminar series features Julie Butler (University of M ount Union} discussing "Extending the Range of Nuclear Many-Body Calculatio ns with Bayesian Machine Learning" on Nov. 14\, at 4 p.m. in Lindley 321.\n \n \n\n(Host: C. Drischler)\n\n \n\nAbstract: Infinite nuclear matter can p rovide valuable insights into the behavior of nuclear systems\, help us und erstand the fundamental properties of atomic nuclei\, further our understan ding of nuclear forces\, and aid us in determining the equation of state fo r nuclear matter. Ab initio many-body methods\, such as many-body perturbat ion theory and coupled cluster theory\, can provide accurate calculations f or infinite nuclear matter by considering the system from its individual pa rticles and the forces at play between them. However\, these calculations c an suffer from very long run times and thus prevent large-scale studies. Th is work presents a set of algorithms based on Bayesian machine learning\, w hich can drastically reduce the run times needed for ab initio calculations of infinite nuclear matter systems by predicting the values of the calcula tions from smaller\, faster-running calculations. This work focuses on remo ving the basis truncation error from coupled cluster calculations by predic ting the converged energies from calculations at smaller basis sizes and pr edicting the energy from a many-body perturbation calculation to the fourth order\, using results from lower-order calculations. Both accuracy and tim e savings will be considered motivations for these Bayesian machine learnin g methods. DTEND:20231114T220000Z DTSTAMP:20241005T061556Z DTSTART:20231114T210000Z GEO:39.326188;-82.101779 LOCATION:Lindley Hall\, 321 SEQUENCE:0 SUMMARY:INPP Seminar | Extending the Range of Nuclear Many-Body Calculation s with Bayesian Machine Learning\, Nov. 14 UID:tag:localist.com\,2008:EventInstance_44405159083027 URL:https://calendar.ohio.edu/event/inpp_seminar_machine_learning_nuclear_m atter_nov_14 END:VEVENT END:VCALENDAR