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SUMMARY:Gluonic hadron structure
 and new machine-learning approaches fo
 r lattice QCD
DTSTART:20260715T120000Z
DTEND:20260715T130000Z
DTSTAMP:20260909T195700Z
UID:indico-event-1676650@indico.cern.ch
DESCRIPTION:Speakers: Phiala Elisabeth Shanahan (MIT)\n\nI will describe r
 ecent advances in our theoretical understanding of the gluon structure of 
 protons and glueballs from lattice QCD\, highlighting the synergy with cur
 rent and planned experiments. I will also describe how mathematically rigo
 rous approaches to incorporating machine learning in algorithms for lattic
 e field theory promise to open new frontiers in this arena.\n\nhttps://ind
 ico.cern.ch/event/1676650/\n\nZoom: https://cern.zoom.us/j/67346292748?pwd
 =ZnRkQWh0ZXVFQTc5K256QW5NcEcrdz09
LOCATION:500/1-001 - Main Auditorium (CERN)
URL:https://indico.cern.ch/event/1676650/
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