research
∙
05/24/2021
Autonomous Kinetic Modeling of Biomass Pyrolysis using Chemical Reaction Neural Networks
Modeling the burning processes of biomass such as wood, grass, and crops...
share
research
∙
04/13/2021
Inference of cell dynamics on perturbation data using adjoint sensitivity
Data-driven dynamic models of cell biology can be used to predict cell r...
research
∙
03/29/2021
Stiff Neural Ordinary Differential Equations
Neural Ordinary Differential Equations (ODE) are a promising approach to...
research
∙
11/09/2020
Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
Recently developed physics-informed neural network (PINN) has achieved s...
research
∙
02/20/2020
Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network
The inference of chemical reaction networks is an important task in unde...
research
∙
03/10/2019