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What is Neural Networks for Quantum Excited States about?
The research article presents a novel algorithm called natural excited states variational Monte Carlo (NES-VMC) for accurately computing quantum excited states using neural networks. NES-VMC achieves high accuracy in vertical excitation energies and oscillator strengths across various molecular systems without requiring free parameters or orthogonalization of states. This method significantly enhances the computational study of excited states, potentially impacting fields such as atomic, nuclear, and conden
- Author
- phd2401131012
- Language
- EN