David Pfau @davidpfau.com · Aug 22 1 / 4
The physics of how electrons get kicked into or fall out of higher energy states, absorbing or releasing light in the process, is important for lasers, semiconductors, LEDs, solar panels, fluorescent dyes, and the biophysics of vision and photosynthesis.
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We couldn’t extend our work with neural networks to excited states because existing methods had several limitations. So we developed a new method that is general, robust, and as accurate as state-of-the-art classical methods as you scale it.