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1. Highly Accurate Real-space Electron Densities with Neural Networks

2. An improved penalty-based excited-state variational Monte Carlo approach with deep-learning ansatzes

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3. Linear-scaling local natural orbital CCSD(T) approach for open-shell systems: algorithm, benchmarks, and large-scale applications

4. Highly accurate real-space electron densities with neural networks.

6. Ansatz for the Jahn–Teller triplet instability.

7. The MRCC program system: Accurate quantum chemistry from water to proteins.