Chemical reaction networks and opportunities for machine learning
Chemical reaction networks (CRNs), defined by sets of species and possible reactions
between them, are widely used to interrogate chemical systems. To capture increasingly …
between them, are widely used to interrogate chemical systems. To capture increasingly …
Solving multiscale dynamical systems by deep learning
Multiscale dynamical systems, modeled by high-dimensional stiff ordinary differential
equations (ODEs) with wide-ranging characteristic timescales, arise across diverse fields of …
equations (ODEs) with wide-ranging characteristic timescales, arise across diverse fields of …
Wide-parameter multi-resolution transition path analysis of ignition process: A case study in coarse-grained methane fueled system
M Li, L Acampora, H Tan, FS Marra, P Du… - Chemical Engineering …, 2025 - Elsevier
A novel coarse-grained analysis approach is proposed to represent detailed combustion
mechanism in wide operating conditions range. Based on the concepts from complex …
mechanism in wide operating conditions range. Based on the concepts from complex …
Loss Jump During Loss Switch in Solving PDEs with Neural Networks
Using neural networks to solve partial differential equations (PDEs) is gaining popularity as
an alternative approach in the scientific computing community. Neural networks can …
an alternative approach in the scientific computing community. Neural networks can …