GPU Day 2026

Session

Session VII

29 May 2026, 14:00

HUN-REN Centre

184. Cosmological simulations in pathological geometries and how to make them

Balázs Pál (Wigner Research Centre for Physics)

29/05/2026, 14:00

Cosmological N-body simulations are fundamental tools for studying the non-linear evolution of large-scale structure, yet the vast majority adopt periodic cubic ($\mathbb{T}^3$) boundary conditions. This choice breaks rotational invariance, prevents angular momentum conservation, and introduces artificial correlations at scales comparable to the box size. The StePS simulation framework and its...

201. Modelling neutron stars in scalar tensor theories

Ms Ashika Achuthankutty (University of Szeged)

29/05/2026, 14:20

Lecture

Scalar-tensor theories of gravity with a dynamical scalar field coupling non-minimally to matter via a conformal factor $A(\phi)$ pose computational challenges beyond standard general relativistic solvers. We present a fully numerical Python framework for constructing slowly rotating neutron star solutions in the massive scalar-tensor theory defined by the Einstein-frame coupling $\alpha(\phi)...

203. Long-term decay-rate measurements in the Jánossy Underground Research Laboratory

Franciska Sprok (HUN-REN Wigner FK)

29/05/2026, 14:40

189. Machine Learning for Molecular Density Matrix Estimation: Achieving SAD-Like Performance with Minimal Model Complexity

Andras Horvath (Pázmány Péter Catholic University - Faculty of Information Technology and Bionics), Gábor János Tornai (StreamNovation Ltd.)

29/05/2026, 15:00

Lecture

Self-consistent field (SCF) calculations remain the computational bottleneck in quantum chemistry workflows. The initial density matrix guess significantly impacts convergence speed, with the Superposition of Atomic Densities (SAD) being the de facto standard. We present a machine learning approach that achieves comparable performance to SAD using a remarkably compact model predicting only...