AI Breakthrough Enhances Quantum Chemistry Modeling

FermiNet's new approach accurately computes excited states, advancing materials science and technology applications.

Researchers from Google DeepMind and Imperial College London developed FermiNet to solve complex quantum equations.
The AI-driven method models excited states of molecules, crucial for technologies like solar panels and LEDs.
FermiNet's accuracy surpasses previous methods, achieving closer alignment with experimental results.
The new technique could streamline the prototyping of new materials and chemical processes through simulations.
The research has been published in Science and made open source for further exploration by the scientific community.