Context-Driven Exploration of Complex Chemical Reaction Networks

Area of Science:

• Chemical Kinetics and Reaction Engineering
• Computational Chemistry
• Systems Chemistry

Background:

• Accurate chemical process description requires comprehensive reaction networks.
• Complex reactions with many species rapidly increase network size.
• Manual construction of these networks is challenging and time-consuming.

Purpose of the Study:

• To develop a fully automated computational protocol for constructing detailed chemical reaction networks.
• To provide an intuitive, graph-based interface for steering network construction.
• To apply the protocol to complex reactions like the formose reaction.

Main Methods:

• Automated exploration of intermediates via intra- and intermolecular reactions.
• Assembly of reactive complexes using heuristic rules from electronic-structure theory.
• Path refinement to minimum-energy paths and network connectivity.
• Tree traversal algorithms for detecting reaction channels and catalytic cycles.

Main Results:

• Successful construction of large, complex reaction networks in an automated manner.
• Application to the formose reaction revealed various sugar formation pathways.
• Rationalization of the autocatalytic nature of the formose reaction.

Conclusions:

• The developed protocol offers an efficient and automated approach to chemical reaction network construction.
• This tool aids in the detailed study of complex chemical systems and their mechanisms.
• Enables deeper insights into reactions like the formose reaction and autocatalysis.