313 citations · 710 across the 12 of their papers we have counts for
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math.NA2021★ 159 cited
Stiff Neural Ordinary Differential Equations
Suyong Kim, Weiqi Ji, Sili Deng +2
Neural Ordinary Differential Equations (ODE) are a promising approach to learn dynamic models from time-series data in science and engineering applications. This work aims at learn…
math.NA2020★ 313 cited
Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
Weiqi Ji, Weilun Qiu, Zhiyu Shi +2
Recently developed physics-informed neural network (PINN) has achieved success in many science and engineering disciplines by encoding physics laws into the loss functions of the n…