2026 SciDAC PI meeting

Talks and posters from the ASCR/NP LQCD SciDAC project at the 2026 SciDAC PI meeting.

Talks

Fundamental nuclear physics at the exascale and beyond

Robert Edwards · Talk PDF

This talk surveys the SciDAC partnership's computational strategy and progress in hadron spectroscopy, including charmonium resonances, radiative decays, and three-body scattering. It connects these developments to hadron and nuclear structure and the needs of current and future experimental programs.

Scientific discoveries from RHIC to EIC through advanced computing in lattice QCD

Swagato Mukherjee · Talk PDF

This talk traces SciDAC-enabled discoveries in hot QCD matter, from the quark-gluon plasma equation of state to heavy-quark probes. It also presents advances in parton distributions, three-dimensional hadron imaging, and the quark-gluon origins of hadron mass that support the Electron-Ion Collider program.

Lattice QCD for precision and fundamental symmetry tests of the Standard Model

André Walker-Loud · Talk PDF

This talk explores how lattice QCD supports precision tests of the Standard Model and the interpretation of neutrino experiments. It discusses nucleon axial structure, two-baryon calculations, and computational strategies for reliable nuclear physics predictions.

Posters

Matrix-free gauge-equivariant neural preconditioners for the Wilson–Dirac operator

Yixuan Sun and collaborators · Poster PDF

This poster presents neural preconditioners that use gauge-field structure to accelerate lattice QCD linear solves without storing full matrices or retraining for each lattice size. It compares convergence and setup costs with existing approaches, including adaptive multigrid, and outlines further tests at larger scales.

Mapping the 3D parton structures of hadrons with lattice QCD

Jinchen He and collaborators · Poster PDF

This poster presents lattice QCD calculations of proton and pion parton distributions, including transverse-momentum distributions that reveal three-dimensional hadron structure. Using leadership-class computing and large-momentum effective theory, these results provide first-principles input for Electron-Ion Collider physics.

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