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Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling

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Toward Ab Initio Reaction Discovery Using the Artificial Force Induced Reaction Method.

Satoshi Maeda^1,2,3, Yu Harabuchi^1,2,3, Hiroki Hayashi^2,3

¹Department of Chemistry, Faculty of Science, Hokkaido University, Sapporo, Japan.

Annual Review of Physical Chemistry

|January 31, 2023

Summary

This summary is machine-generated.

This study introduces a new method for on-the-fly kinetic simulation that predicts chemical reactions and product yields. It combines artificial force induced reaction and rate constant matrix contraction for efficient reaction discovery.

Keywords:

kinetic simulation organic synthesis potential energy surface quantum chemical calculation reaction path network

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Area of Science:

Computational Chemistry
Chemical Kinetics
Reaction Mechanism Discovery

Background:

Traditional methods require pre-computed reaction path networks for kinetic simulations.
This two-step approach is inefficient and struggles with the combinatorial complexity of reaction patterns.

Purpose of the Study:

To develop a unified approach for on-the-fly kinetic simulation and reaction discovery.
To overcome the limitations of conventional two-step methods in chemical reaction prediction.

Main Methods:

Combined the artificial force induced reaction (AFIR) method with the rate constant matrix contraction (RCMC) method.
Developed two algorithms: a forward mode (reactants as input) and a backward mode (products as input).

Main Results:

Numerically verified the forward and backward modes for known chemical reactions.
Demonstrated the practical application of the combined method for actual reaction discovery.

Conclusions:

The developed method enables direct discovery of chemical reactions and product yields via on-the-fly kinetic simulation.
This approach narrows the search space, offering a new paradigm beyond conventional methods for ab initio reaction discovery.