Work

A Fourier neural operator approach for modelling exciton-polariton condensate systems

Year: 2025

Type: article

Abstract: Exciton-polariton condensates in optical microcavities enable next-generation all-optical devices, but simulating their complex nonlinear dynamics remains computationally challenging. The authors demonstrate that Fourier Neural Operators trained on experimental and numerical data predict condensate behavior three orders of magnitude faster than conventional solvers while maintaining high accuracy.

Source: Communications Physics

DOI: 10.1038/s42005-025-02409-2

Authors: Yuan Wang, Surya T. Sathujoda, Krzysztof Sawicki, Kanishk Gandhi, Angelica I. Aviles-Rivero, Pavlos G. Lagoudakis

Institutions: University of Southampton, University of Cambridge, Tsinghua University, Skolkovo Institute of Science and Technology

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,990

Funder: European Commission