New AI research, led by Imperial College London and Google DeepMind, has developed neural networks that model excited molecular states with unprecedented accuracy. By leveraging the FermiNet AI model, this study addresses one of quantum chemistry’s most complex problems: predicting the behavior of electrons in excited states. The breakthrough has significant implications for sustainable technologies like solar cells and LEDs, enabling more accurate simulations of energy transitions. This work opens new opportunities for material design and chemical synthesis.
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