Virtual Seminar on Physics-informed neural networks for solving Gray-Scott systems
Our LIV.DAT Virtual Seminar Series – Spring 2022 will continue on Tuesday 14th June 2022 at 14:00 BST. The seminar will be given by Prof Salvatore Cuomo, Associate Professor at the Department of Mathematics and Applications at the University of Naples Federico II (UNINA) who will present “Physics-informed neural networks for solving Gray-Scott systems”.
Seminars in this series cover R&D outside of the LIV.DAT centre’s core research areas and give an insight into cutting edge research in this area. At the end of the talk there will be a Q&A session with the speaker.
About the talk
A physics-informed neural network (PINN) is employed to approximate the solution of nonlinear partial differential equation systems. In this talk, we present an approach for solving different configurations for the Gray-Scott, a reaction-diffusion system that involves an irreversible chemical reaction between two reactants. Computational results show that the PINN can successfully provide an approximated solution in a variety of conditions, also reproducing the characteristic Turing patterns in the unstable region of the model's parameter space, through a supervised approach that relies on a finite difference method (FDM).
About the speaker
Salvatore Cuomo is currently Associate Professor at the Department of Mathematics and Applications at the University of Naples Federico II (UNINA). He gained a BA(Hons) in Mathematics in 1997 and a Ph.D. in Applied Mathematics and Computer Science in 2004 from the University of Naples Federico II, Italy.
In 2018 he became an associate professor of Computer Science and Automatic Systems for information processing. He was a visiting Research Scholar at Case Western Research University, Ohio, USA in 2016 and a Visiting Professor at University of Geosciences, Beijing, China in 2019.
He is Co-founder of the Mathematical Modelling and Data Analysis Laboratory M.O.D.A.L (www.labdma.unina.it/modal) research group which deals with issues of Predictive Modelling and Data Analysis.
How to attend
Participation is free, but you need to register to attend this and other webinars in the series. For more information and how to register please follow this link. Once registered, you will receive the Zoom connection details on the morning of the online seminar.
The seminar details
Speaker: Prof Salvatore Cuomo (Associate Professor at the Department of Mathematics and Applications at the University of Naples Federico II (UNINA))
Seminar title: “Physics-informed neural networks for solving Gray-Scott systems”
Date/Time: Tuesday 14 June at 14:00 BST