Computational methods to predict molecular properties and reaction pathways.Quantum chemical calculations are computational methods that use quantum mechanics to predict the properties of molecules, such as their structure, energy, and reactivity. They solve the Schrödinger equation for the electrons in a molecule, which is impossible to do exactly for all but the smallest systems, so approximations are used. These methods are fundamental to chemistry, materials science, and drug design, as they allow researchers to understand and predict how molecules behave without performing physical experiments.
The field began in the 1920s with the development of quantum mechanics, but practical calculations became possible only with the advent of computers in the 1950s. Walter Kohn and John Pople received the 1998 Nobel Prize in Chemistry for their contributions to DFT and computational methods.
The most common approach is the Hartree-Fock method, which approximates the electron-electron interaction by averaging over all other electrons. More accurate methods, like density functional theory (DFT), use functionals of the electron density to include correlation effects. These calculations are computationally intensive, requiring powerful computers, and are often used to model reaction pathways, transition states, and molecular properties.
Quantum chemical calculations are used in pharmaceutical research to design drug molecules and predict their interactions with biological targets, as well as in materials science to design new catalysts and battery materials.
Quantum chemical calculations were used to predict the existence of the molecule helium hydride (HeH+), which was later detected in space in 2019.








