activity
20142023
most citedLocal Extreme Learning Machines and Domain Decomposition for Solving Linear and Nonlinear Partial Differential Equations

230 citations · 1.3k across the 27 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

7 papers · 1 filter

physics.comp-ph2021★ 61 cited

On Computing the Hyperparameter of Extreme Learning Machines: Algorithm and Application to Computational PDEs, and Comparison with Classical and High-Order Finite Elements

Suchuan Dong, Jielin Yang

We consider the use of extreme learning machines (ELM) for computational partial differential equations (PDE). In ELM the hidden-layer coefficients in the neural network are assign…

physics.comp-ph2021★ 42 cited

A Modified Batch Intrinsic Plasticity Method for Pre-training the Random Coefficients of Extreme Learning Machines

Suchuan Dong, Zongwei Li

In extreme learning machines (ELM) the hidden-layer coefficients are randomly set and fixed, while the output-layer coefficients of the neural network are computed by a least squar…

physics.comp-ph2020★ 175 cited

A Method for Representing Periodic Functions and Enforcing Exactly Periodic Boundary Conditions with Deep Neural Networks

Suchuan Dong, Naxian Ni

We present a simple and effective method for representing periodic functions and enforcing exactly the periodic boundary conditions for solving differential equations with deep neu…

physics.comp-ph2019★ 6 cited

An Energy-Stable Scheme for Incompressible Navier-Stokes Equations with Periodically Updated Coefficient Matrix

L. Lin, N. Ni, Z. Yang +1

We present an energy-stable scheme for simulating the incompressible Navier-Stokes equations based on the generalized Positive Auxiliary Variable (gPAV) framework. In the gPAV-refo…

physics.comp-ph2019★ 19 cited

A gPAV-Based Unconditionally Energy-Stable Scheme for Incompressible Flows with Outflow/Open Boundaries

L. Lin, X. Liu, S. Dong

We present an unconditionally energy-stable scheme for approximating the incompressible Navier-Stokes equations on domains with outflow/open boundaries. The scheme combines the gen…

physics.comp-ph2019★ 67 cited

A Roadmap for Discretely Energy-Stable Schemes for Dissipative Systems Based on a Generalized Auxiliary Variable with Guaranteed Positivity

Zhiguo Yang, Suchuan Dong

We present a framework for devising discretely energy-stable schemes for general dissipative systems based on a generalized auxiliary variable. The auxiliary variable, a scalar num…