DeepMind Open-Sources The FermiNet: A Deep Learning Model For Computing The Energy Of Atoms

The Fermionic Neural Network (FermiNet) is one of the first deep learning demonstrations for computing atomic energy. Fermionic Neural Network is a new neural network architecture successfully applied in modeling the quantum state of large collections of electrons. In quantum systems, the position of particles like electrons is described by a probability cloud as they don't have exact locations. This uncertainty in locating particles makes the representation of the state of a quantum system challenging. The probabilities assigned to possible configurations of electron positions are encoded in the wavefunction, which sets a positive or negative number to every electrons' configuration.