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cond-mat.str-el2026
Fast, Accurate, and Scalable Fermionic Neural Networks via Translation Equivariance
David D. Dai, Yen-Ting Lin, Marin Soljačić
We demonstrate that designing a neural quantum state to be an exact eigenstate of the Hamiltonian's symmetries significantly improves both training speed and final variational ener…
physics.flu-dyn2026
Learning turbulent transport via Mori--Zwanzig graph neural networks
André Freitas, Xander M. de Wit, Alessandro Gabbana +4
We introduce a Mori--Zwanzig graph neural network (MZ--GNN) framework for learning reduced-order Lagrangian dynamics of tracer particles in homogeneous isotropic turbulence. The mo…