Deep learning for thermal plasma simulation: Solving 1-D arc model as an example

Evaluation of Arc Quenching Ability for a Gas by Combining 1-D Hydrokinetic Modeling and Boltzmann Equation Analysis

(2019) Linlin Zhong et al.   IEEE TRANSACTIONS ON PLASMA SCIENCE

Effects of Buffer Gases on Plasma Properties and Arc Decaying Characteristics of C4F7N–N2 and C4F7N–CO2 Arc Plasmas

(2019) Linlin Zhong et al.   PLASMA CHEMISTRY AND PLASMA PROCESSING

An improved method for fast evaluating arc quenching performance of a gas based on 1D arc decaying model

(2019) Linlin Zhong et al.   PHYSICS OF PLASMAS

Model-based parameter optimization for arc welding process simulation

(2019) Fiona F. Chen et al.   APPLIED MATHEMATICAL MODELLING

DGM: A deep learning algorithm for solving partial differential equations

(2018) Justin Sirignano et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification

(2018) Rohit K. Tripathy et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Solving high-dimensional partial differential equations using deep learning

(2018) Jiequn Han et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A Coupled Chemical Kinetic and Nucleation Model of Fume Formation in Metal–Inert-Gas/Metal–Active-Gas Welding

(2017) Hunkwan Park et al.   PLASMA CHEMISTRY AND PLASMA PROCESSING

Approximate explicit analytic solution of the Elenbaas-Heller equation

(2016) Meng-Ran Liao et al.   JOURNAL OF APPLIED PHYSICS

Perspectives on Thermal Plasma Modelling

(2014) Alain Gleizes   PLASMA CHEMISTRY AND PLASMA PROCESSING

Turbulence and Magnetic Field Calculations in High-Voltage Circuit Breakers

(2012) Jean-Jacques Gonzalez et al.   IEEE TRANSACTIONS ON PLASMA SCIENCE