Schrödinger's Equation Solved by Artificial Intelligence

The ground state of the Schrödinger equation in quantum chemistry was calculated using a deep learning method developed by Scientists at Freie University Berlin.

By solving the Schrödinger equation Quantum chemistry can predict the chemical and physical properties of molecules using only the arrangement of their atoms in space.

So far it has been nearly impossible to solve the wave function of a molecule using the Schrödinger equation with the degree of accuracy required for practical applications.

Some Conventional approaches to quantum chemistry include approximation to solve wave function which results in poor accuracy.

Another technique was to solve complex states using the computation of mathematical calculations, However, this method was practically possible for no more than a few atoms.

The deep neural network implies Artificial Intelligence to reduce computation cost & time and achieve an unprecedented degree of accuracy.

PauliNet the name given to this system is designed to follow and apply Pauli’s exclusion principle to state the antisymmetry of the electronic wave function.

This approach using Artificial Intelligence has provided a cost-effective method to solve one of the long-standing equations in quantum chemistry.

Artificial intelligence is revolutionizing the field of research. AI has been used in various study areas. Astrophysics, quantum physics, medicine, and drug development just to name a few