Triangle Seminars
Tuesday, 21 Apr 2026
Fifty years of large-N QCD
📍 London
Marco Bochicchio
(INFN Rome)
Abstract:
We review large-N QCD from its inception to the most recent developments, organizing the subject into four ages.
— Prehistorical: From dual models and string theory to the discovery of deep inelastic scattering and the subsequent rise of QCD.
— Historical: The introduction of the large-N expansion for QCD by ’t Hooft.
— Modern: The “resurrection” of the string program through the emergence of gauge/gravity duality.
— Contemporary: The obstructions to the string program arising from QCD asymptotic freedom and the most recent advancements.
We review large-N QCD from its inception to the most recent developments, organizing the subject into four ages.
— Prehistorical: From dual models and string theory to the discovery of deep inelastic scattering and the subsequent rise of QCD.
— Historical: The introduction of the large-N expansion for QCD by ’t Hooft.
— Modern: The “resurrection” of the string program through the emergence of gauge/gravity duality.
— Contemporary: The obstructions to the string program arising from QCD asymptotic freedom and the most recent advancements.
Posted by: João Vilas Boas
Wednesday, 22 Apr 2026
Is there a 2d analogue of the 3d Ising CFT?
📍 London
Antonio Antunes
(Laboratoire de Physique del Ecole Normale Superieure (LPENS))
Abstract:
Our understanding of interacting CFTs in d>2 dimensions was revolutionized by modern developments in the analytical and numerical conformal bootstrap. The poster child of this program, the non-exactly solvable 3d Ising CFT, is now understood to an unprecedented level of detail. In contrast, our understanding of 2d CFTs encompasses large classes of exactly solvable models (the so-called rational CFTs), and a set of universal bootstrap results which apply only to "generic" non-exactly solvable CFTs of which no concrete example is available. In this talk, we summarize our recent attempts at constructing such theories by coupling exactly solvable CFTs and flowing to IR fixed points. We will discuss perturbative and non-perturbative constructions as well as some dual bounds on the set of conserved currents in the IR.
Our understanding of interacting CFTs in d>2 dimensions was revolutionized by modern developments in the analytical and numerical conformal bootstrap. The poster child of this program, the non-exactly solvable 3d Ising CFT, is now understood to an unprecedented level of detail. In contrast, our understanding of 2d CFTs encompasses large classes of exactly solvable models (the so-called rational CFTs), and a set of universal bootstrap results which apply only to "generic" non-exactly solvable CFTs of which no concrete example is available. In this talk, we summarize our recent attempts at constructing such theories by coupling exactly solvable CFTs and flowing to IR fixed points. We will discuss perturbative and non-perturbative constructions as well as some dual bounds on the set of conserved currents in the IR.
Posted by: Andrew Svesko
Thursday, 23 Apr 2026
Discovery of unstable singularities
📍 London
Javier Gómez Serrano
(Brown University)
Abstract:
AI for Mathematical Sciences (AIMS) seminar series
In this talk, I will explain how to construct numerically several new unstable singularities to certain equations in fluids (CCF, IPM, Boussinesq) using machine learning methods. Our approach combines curated machine learning architectures and training schemes with a high-precision Gauss-Newton optimizer, achieving accuracies that significantly surpass previous work across all discovered solutions, reaching near double-float machine precision, attaining a level of accuracy constrained only by the round-off errors of the GPU hardware, potentially leading to rigorous mathematical validation via computer-assisted proofs.
To subscribe for the AIMS series please fill out the form https://applications.lims.ac.uk/subscribe-to-aims
AI for Mathematical Sciences (AIMS) seminar series
In this talk, I will explain how to construct numerically several new unstable singularities to certain equations in fluids (CCF, IPM, Boussinesq) using machine learning methods. Our approach combines curated machine learning architectures and training schemes with a high-precision Gauss-Newton optimizer, achieving accuracies that significantly surpass previous work across all discovered solutions, reaching near double-float machine precision, attaining a level of accuracy constrained only by the round-off errors of the GPU hardware, potentially leading to rigorous mathematical validation via computer-assisted proofs.
To subscribe for the AIMS series please fill out the form https://applications.lims.ac.uk/subscribe-to-aims
Posted by: Evgeny Sobko