Author

Wen-Guan Wang

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#machine learning Preprint Sep 2026

Foundation Neural-Network Quantum States for Molecular Potential Energy Surfaces in Second Quantization

Second-quantized neural-network quantum states have achieved accurate molecular energies, but extending them across molecular geometries requires a shared representation of the geometry-dependent wavefunction coefficients. We introduce geometry-conditioned foundation neural-network quantum states for molecular electron...

Li-Zhong Fu, Jia-Nan Wei, Wen-Guan Wang et al. · 0 citations

Preprint Sep 2026

Map the Possibilities: Spatial Belief Fields for Language-Goal Aerial Navigation

SBFNav is introduced, a closed-loop navigation framework centered on a language- conditioned Spatial Belief Field (SBF) that preserves multiple spatial hypotheses under par- tial evidence and further confirms the advantages of spatial-belief modeling over single-point prediction.

Hao-Tian Xu, Yue Hu, Zheng-Qiu Zhu et al. · 0 citations

Preprint Aug 2026

Scaling Neural Network Quantum States for Ab Initio Quantum Chemistry

Neural-network quantum states (NNQSs) can represent many-electron wave functions without explicitly enumerating the determinant space, but their accuracy depends jointly on model size and variational-optimization effort. Here we characterize this dependence for a physics-conditioned autoregressive NNQS trained separate...

Chen Yu, Han-Lin Kong, Jia-Nan Wei et al. · 0 citations