# Modelling Gas-Phase Reaction Kinetics with Guided Particle Diffusion Sampling

Source: [Modelling Gas-Phase Reaction Kinetics with Guided Particle Diffusion Sampling](<https://www.sota2.com/research/paper/69e7048c7d0172140ec7eca6>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-07-08T05:00:04.940Z

Authors: Andrew Millard, Zheng Zhao, Henrik Pedersen

Published: 2026-04-08T07:35:13.000Z

## Abstract

Physics-guided sampling with diffusion priors has recently shown strong performance in solving complex systems of partial differential equations (PDEs) from sparse observations. However, these methods are typically evaluated on benchmark problems that do not fully demonstrate their ability to generate temporally consistent solutions of time-dependent PDEs, often focusing instead on reconstructing a single snapshot. In this work, we apply these methods to gas-phase reaction kinetics problems governed by the advection-reaction-diffusion (ARD) equation, providing a setting that more closely reflects realistic laboratory experiments. We demonstrate that guided sampling can be used to reconstruct full spatiotemporal trajectories, rather than isolated states. Furthermore, we show that these methods generalise to previously unseen parameter regimes, highlighting their potential for real-world applications.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2604.16461>)

[PDF](<https://arxiv.org/pdf/2604.16461.pdf>)
