Using computational methods to analyze chemical reactions and molecular energies beyond experimental limits.Computational reaction analysis uses computer simulations to study chemical reactions at the molecular level, providing details that are difficult or impossible to obtain experimentally. It involves calculating the energies of molecules, transition states, and reaction pathways to predict how fast a reaction will proceed, what products will form, and how to control it. This is especially valuable for complex systems like enzymes, catalysts, or reactions in extreme conditions.
The field began in the 1970s with semi-empirical methods, but became practical in the 1990s with the rise of DFT and affordable computing power. Recent advances include quantum computing algorithms for chemistry, as noted in the article 'Квантовое превосходство в химии'.
The methods are based on quantum mechanics, primarily density functional theory (DFT) or more accurate wavefunction methods, which solve the Schrödinger equation for the electrons in a molecule. From these calculations, one obtains potential energy surfaces — maps of how energy changes as atoms move. By locating minima (reactants, products) and saddle points (transition states), researchers can compute reaction rates using transition state theory. Machine learning is increasingly used to speed up these calculations by learning from large datasets of quantum chemical results.
It is used in drug discovery to predict how drugs bind to proteins, in catalysis research to design more efficient industrial catalysts, and in materials science to screen for new molecules with desired properties.
Modern neural networks trained on millions of molecular collisions can predict reaction outcomes faster than traditional quantum chemistry, as highlighted in the article 'EveNet: как нейросеть учится на 500 миллионах столкновений'.
| A | variable | Reactant species A — chemical species |
| B | variable | Reactant species B — chemical species |
| C | variable | Product species C — chemical species |
| D | variable | Product species D — chemical species |
| + | operator | Combines reactants or products — addition operator |
| -> | operator | Indicates direction of transformation — reaction arrow |


















