Proceedings of the National Academy of Sciences, Volume 123, Issue 35, September 2026. <br/>SignificanceUnderstanding how electrons interact in two-dimensional materials is essential for explaining phenomena like high-temperature superconductivity, but existing numerical methods are often limited by systematic biases. Neural quantum states offer …
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Neural network–augmented Pfaffian wave-functions for scalable simulations of interacting fermions
Proceedings of the National Academy of Sciences, Volume 123, Issue 35, September 2026. <br/>SignificanceUnderstanding how electrons interact in two-dimensional materials is essential for explaining phenomena like high-temperature superconductivity, but existing numerical methods are often limited by systematic biases. Neural quantum states offer … Source: Read the original article on www.pnas.org
