Tracking large chemical reaction networks and rare events by neural networks

This article likely discusses the application of neural networks to model and analyze complex chemical reactions. The focus is on handling large-scale networks and identifying infrequent, but potentially important, events within those networks. The use of neural networks suggests an attempt to overcome computational limitations of traditional methods.

• •Applies neural networks to model chemical reaction networks.
• •Focuses on handling large-scale networks.
• •Aims to identify rare events within the networks.
• •Suggests a computational advantage over traditional methods.