most citedThe wall confronting large language models

2 citations · 2 across the 5 of their papers we have counts for

collaborators

8 papers

cs.LG2025

Fast-Forward Lattice Boltzmann: Learning Kinetic Behaviour with Physics-Informed Neural Operators

Xiao Xue, Marco F. P. ten Eikelder, Mingyang Gao +7

The lattice Boltzmann equation (LBE), rooted in kinetic theory, provides a powerful framework for capturing complex flow behaviour by describing the evolution of single-particle di…

cs.LG2025

Equivariant U-Shaped Neural Operators for the Cahn-Hilliard Phase-Field Model

Xiao Xue, Marco F. P. ten Eikelder, Tianyue Yang +4

Phase separation in binary mixtures, governed by the Cahn-Hilliard equation, plays a central role in interfacial dynamics across materials science and soft matter. While numerical…

physics.flu-dyn2025

An Uncertainty Visualization Framework for Large-Scale Cardiovascular Flow Simulations: A Case Study on Aortic Stenosis

Xiao Xue, Tushar M. Athawale, Jon W. S. McCullough +5

We present a generalizable uncertainty quantification (UQ) and visualization framework for lattice Boltzmann method simulations of high Reynolds number vascular flows, demonstrated…

cs.AI20252 cited

The wall confronting large language models

Peter V. Coveney, Sauro Succi

We show that the scaling laws which determine the performance of large language models (LLMs) severely limit their ability to improve the uncertainty of their predictions. As a res…

quant-ph2025

Simulating the Antiferromagnetic Heisenberg Model on a Spin-Frustrated Kagome Lattice with the Contextual Subspace Variational Quantum Eigensolver

Tim Weaving, Alexis Ralli, Vinul Wimalaweera +2

In this work we investigate the ground state properties of a candidate quantum spin liquid using a superconducting Noisy Intermediate-Scale Quantum (NISQ) device. Specifically, we…

quant-ph2025

Bridging Quantum Chemistry and MaxCut: Classical Performance Guarantees and Quantum Algorithms for the Hartree-Fock Method

Alexis Ralli, Tim Weaving, Peter V. Coveney +1

In quantum chemistry, self-consistent field (SCF) algorithms define a nonlinear optimization problem, with both continuous and discrete components. In this work, we derive Hartree-…