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Talk1 h 13 min

Gluonic hadron structure and new machine-learning approaches for lattice QCD

Phiala Elisabeth Shanahan · CERN

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About

I will describe recent advances in our theoretical understanding of the gluon structure of protons and glueballs from lattice QCD, highlighting the synergy with current and planned experiments. I will also describe how mathematically rigorous approaches to incorporating machine learning in algorithms for lattice field theory promise to open new frontiers in this arena.

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The talk

  1. Gluonic hadron structure and new machine-learning approaches for lattice QCD 2026-07-15 · 1 h 13 min · CERN's player

Credits and licence

Institution
CERN
Speaker
Phiala Elisabeth Shanahan
Year
2026
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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