Conference Paper
2026
Autoregressive One-Step Generative Modeling for Dynamical System Forecasting
Under Review...
First autoregressive one-step generative model for dynamical systems.
Publications
Papers, preprints, and dissertations across AI, physics, chemistry, and scientific computing.
Selected publications
Journal Paper
2026
MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems
Under Review...
One-step generative modelling for multiscale fluid dynamics with neural operators.
Journal Paper
2026
Uni-Flow: a unified autoregressive-diffusion model for complex multiscale flows
Under Review...
Generative modelling for complex multiscale fluid dynamics.
2026
Master Dissertation
2026
Understanding Galaxy Morphology Evolution Through Cosmic Time via Redshift Conditioned Diffusion Models
University of Cambridge, Department of Physics
Survey of generative models for astrophysical image synthesis.
Conference Workshop Paper
2026
Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling
Under Review...
One-step generative modelling for astrophysical image synthesis.
Conference Paper
2026
Autoregressive One-Step Generative Modeling for Dynamical System Forecasting
Under Review...
First autoregressive one-step generative model for dynamical systems.
Conference Paper
2026
Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems
Under Review...
Distilled one-step generative fidelity reconstruction for physical systems.
Journal Paper
2026
MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems
Under Review...
One-step generative modelling for multiscale fluid dynamics with neural operators.
Journal Paper
2026
Uni-Flow: a unified autoregressive-diffusion model for complex multiscale flows
Under Review...
Generative modelling for complex multiscale fluid dynamics.
2025
Journal Paper
2025
Equivariant U-shaped Neural Operators for the Cahn-Hilliard Phase-field Model
Under Review...
Equivariant operator learning for phase-field modelling.
Undergraduate Dissertation
2025
Investigating Atomic and Molecular Systems in Ultra-strong Magnetic Fields Using Neural Network Variational Monte Carlo
Imperial College London, Department of Physics
Neural network ansatz for VMC in strong magnetic fields.