Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics

Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network

(2021) Weiqi Ji et al.   JOURNAL OF PHYSICAL CHEMISTRY A

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

(2020) Maziar Raissi et al.   SCIENCE

Graph Neural Networks for Prediction of Fuel Ignition Quality

(2020) Artur Schweidtmann et al.   ENERGY & FUELS

PPINN: Parareal physics-informed neural network for time-dependent PDEs

(2020) Xuhui Meng et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Time-Accurate and highly-Stable Explicit operators for stiff differential equations

(2020) Maxime Bassenne et al.   JOURNAL OF COMPUTATIONAL PHYSICS

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

(2020) Xiaowei Jin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Including analytically reduced chemistry (ARC) in CFD applications

(2019) Anne Felden et al.   ACTA ASTRONAUTICA

Efficient time-stepping techniques for simulating turbulent reactive flows with stiff chemistry

(2019) Hao Wu et al.   COMPUTER PHYSICS COMMUNICATIONS

Learning data-driven discretizations for partial differential equations

(2019) Yohai Bar-Sinai et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

An extended hybrid chemistry framework for complex hydrocarbon fuels

(2019) Rishikesh Ranade et al.   FUEL

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

(2019) Luning Sun et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Data driven governing equations approximation using deep neural networks

(2019) Tong Qin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Data-driven discovery of coordinates and governing equations

(2019) Kathleen Champion et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Global quasi-linearization (GQL) versus QSSA for a hydrogen–air auto-ignition problem

(2018) Chunkan Yu et al.   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties

(2018) Tian Xie et al.   PHYSICAL REVIEW LETTERS

Turbulence Modeling in the Age of Data

(2018) Karthik Duraisamy et al.   Annual Review of Fluid Mechanics

Deep learning of vortex-induced vibrations

(2018) Maziar Raissi et al.   JOURNAL OF FLUID MECHANICS

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

Dynamic stiffness removal for direct numerical simulations

(2009) Tianfeng Lu et al.   COMBUSTION AND FLAME

A criterion based on computational singular perturbation for the identification of quasi steady state species: A reduced mechanism for methane oxidation with NO chemistry

(2008) Tianfeng Lu et al.   COMBUSTION AND FLAME

Simple global reduction technique based on decomposition approach

(2008) V. Bykov et al.   COMBUSTION THEORY AND MODELLING