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Related Concept Videos

Energy Diagrams, Transition States, and Intermediates02:13

Energy Diagrams, Transition States, and Intermediates

Free-energy diagrams, or reaction coordinate diagrams, are graphs showing the energy changes that occur during a chemical reaction. The reaction coordinate represented on the horizontal axis shows how far the reaction has progressed structurally. Positions along the x-axis close to the reactants have structures resembling the reactants, while positions close to the products resemble the products.  Peaks on the energy diagram represent stable structures with measurable lifetimes, while other...
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Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
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Reaction Mechanisms: Rate-limiting Step Approximation

The rate-determining step, or RDS, in a chemical reaction is the slowest step that determines the overall reaction rate. It is identified by using the observed rate law and typically involves approximation methods like the RDS approximation or the steady-state approximation.In the RDS approximation, also known as the rate-limiting-step or equilibrium approximation, the reaction mechanism consists of one or more reversible reactions near equilibrium, followed by a slower RDS, and then one or...
Transition State Theory01:25

Transition State Theory

Transition-state theory, also known as activated-complex theory, provides a molecular-level explanation of reaction rates in both gas-phase and solution-phase reactions. It extends earlier kinetic models by considering the formation of a short-lived, high-energy configuration during a reaction.The progress of a chemical reaction can be represented using a reaction profile, which plots potential energy against the reaction coordinate. As two reactant molecules approach one another, their...
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Kinetic Studies and Significance
In a chemical reaction, a relationship exists between the concentration of reactants and the rate at which the reaction proceeds. The study to measure this relationship is known as the kinetics of a chemical reaction. Kinetic studies are used to deduce the rate law of a chemical reaction, which provides information about the species involved during the transition state of the rate-determining step. Thus, kinetic studies help to derive the mechanism of a reaction.
E1 Reaction: Kinetics and Mechanism02:46

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Here, in contrast to the E2 reaction mechanism, we delve into the aspects of the E1 reaction mechanism, which has two steps: rate-limiting loss of the leaving group and abstraction of the beta hydrogen by a weak base. Typically, the experimental proof for the E1 mechanism is via kinetic studies or isotope studies. While the former demonstrates the first-order kinetics—the dependence of the reaction solely on substrate concentration—the latter proves the abstraction of hydrogen only in the...

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Optimization of the Ugi Reaction Using Parallel Synthesis and Automated Liquid Handling
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Reactive machine learning potential for accelerating transition state search in organic synthesis.

Kaipai Ren1, Kun Tang1, Yujing Zhao1,2

  • 1State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Department of Pharmaceutical Sciences, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, China.

Nature Communications
|May 8, 2026
PubMed
Summary

DeePEST-OS accelerates organic synthesis by rapidly predicting reaction transition states and energy barriers. This machine learning model achieves high accuracy, making complex reaction studies more feasible.

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Area of Science:

  • Computational Chemistry
  • Machine Learning in Chemistry
  • Organic Synthesis

Background:

  • Understanding reaction kinetics is crucial for organic synthesis.
  • Traditional quantum chemistry methods for transition state searches are computationally intensive.
  • Accurate prediction of energy barriers is essential for reaction optimization.

Purpose of the Study:

  • To develop a fast and accurate machine learning model for transition state optimization and energy barrier prediction.
  • To enable efficient studies of reaction kinetics in multi-element organic synthesis.
  • To overcome the computational cost limitations of traditional quantum chemistry methods.

Main Methods:

  • Developed DeePEST-OS, a reactive machine learning potential.
  • Integrated physical priors from semi-empirical quantum chemistry.
  • Utilized equivariant message passing networks for potential energy surface prediction.
  • Trained on ~75,000 reactions generated via a low-cost data strategy.

Main Results:

  • DeePEST-OS predicts potential energy surfaces ~10,000 times faster than quantum chemistry.
  • Achieved high accuracy in transition state geometry (0.12 Å RMSD) and energy barriers (0.60 kcal/mol MAE) on unseen reactions.
  • Model spans ten chemical elements.

Conclusions:

  • DeePEST-OS significantly accelerates transition state optimization and energy barrier prediction.
  • The model enables practical applications such as conformer screening and retrosynthesis barrier prediction.
  • DeePEST-OS is a powerful tool for advancing reaction kinetics studies in organic synthesis.