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Yiluo Deng

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Scattering with neural operators

Diffusion for Diffusion: A versatile multiphysics fields refinement framework in pollutants transportation

Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth

Neural canonical transformation for the spectra of fluxional molecule CH+ 5

Fourier neural operators for learning dynamics in quantum spin systems

Neural quantum propagators for driven-dissipative quantum dynamics

Bootstrapping string models with entanglement minimization and machine learning

The S-matrix bootstrap with neural optimizers. Part I. Zero double discontinuity

U-shaped factorized Fourier neural operator for solving partial differential equations

Learning S -matrix phases with neural operators

Artificial-Intelligence-Based Surrogate Solution of Dissipative Quantum Dynamics: Physics-Informed Reconstruction of the Universal Propagator

Predicting Feynman periods in ϕ4-theory

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