AI • Physics • Chemistry

Tianyue Yang

I work at the intersection of AI, physics, and chemistry, with a focus on generative modelling for scientific machine learning and physics-inspired methods.

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✦ Research Interests ✦

I work on generative modelling and AI for science, especially applications in computational fluid dynamics, chemistry, and physics-informed learning.

♪ Current Role ♪

I am a Research Assistant at CCS@UCL and CSE@CUHK, working with Prof. Peter Coveney, Dr. Xiao Xue, and Dr. Shengchao Liu on generative methods for CFD and related scientific problems.

★ Selected Publications ★

arXiv 2026

Uni-Flow: a unified autoregressive-diffusion model for complex multiscale flows

Xiao Xue, Tianyue Yang, Mingyang Gao, Leyu Pan, Maida Wang, Kewei Zhu, Shuo Wang, Jiuling Li, Marco F. P. ten Eikelder, and Peter V. Coveney

Generative modelling for complex multiscale fluid dynamics.

arXiv 2025

Equivariant U-shaped Neural Operators for the Cahn-Hilliard Phase-field Model

Xiao Xue, Marco F.P. ten Eikelder, Tianyue Yang, Yiqing Li, Kan He, Shuo Wang, Peter V. Coveney

Equivariant operator learning for phase-field modelling.

♪ Project Links ♪

Past projects I've been working on!

JAX AI4Chem

A few things I enjoy outside research:

Sichuan Cuisine is my favourite!
As a former ChOer, my passion for theoretical chemistry persists...
Interested in modern political philosophy, my favourite modern philospher is Giorgio Agamben

✦ Per aspera ad astra ✦