Ah, the jewel of computational physics.
Also known as an ab initio method: no experimental measurement is taken as input, QED is all you need.
But since QED is thought to fully describe all relevant aspects molecules, it could be called "the" ab initio method.
For one, if we were able to predict protein molecule interactions, our understanding of molecular biology technologies would be solved.
No more ultra expensive and complicated X-ray crystallography or cryogenic electron microscopy.
And the fact that quantum computers are one of the most promising advances to this field, is also very very exciting: Section "Quantum algorithm".
- www.youtube.com/watch?v=NtnsHtYYKf0 "Mercury and Relativity - Periodic Table of Videos" by a
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Computational chemistry uses numerical models to predict or interpret chemical structure, energetics and dynamics. Electronic calculations may approximate the Schrödinger equation through Hartree-Fock theory or density functional theory; molecular simulations can instead evolve nuclei using an approximate potential.
A geometry optimization searches for a stationary point on a potential energy surface, while a vibration calculation examines its local curvature. These are different tasks: a converged numerical solution need not be an accurate physical prediction, and a stationary structure need not be the global energy minimum. Method, basis, environment and uncertainty therefore belong with a reported computed result.
Computational chemistry is a branch of chemistry that uses computer simulation and computational methods to study and model the behavior, structure, and properties of chemical systems. It combines principles from physics, chemistry, and computer science to understand molecular structures, reactions, and interactions at an atomic and molecular level. Key aspects of computational chemistry include: 1. **Molecular Modeling**: Creating representations of molecular structures and predicting their properties and behaviors using computer algorithms.