V2Rho-FNO applies 3D Fourier Neural Operators to learn the Hohenberg-Kohn potential-to-density map, achieving zero-shot generalization to unseen molecules and resolution transfer via spectral zero-padding without retraining.
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KANO Neural Operator Enhances Modeling of Position-Dependent Dynamics
KANO, a dual‑domain neural operator, achieves an infidelity of ~6×10⁻⁶ on quantum Hamiltonian learning, far better than the 1.5×10⁻² reported for Fourier Neural Operator. getnews.me/kano-neural-operator-enh... #kano #neuraloperator #quantum
Neural Diffeomorphic Operator Improves Deformation Prediction
The neural diffeomorphic‑neural operator (NDNO) predicts machining deformation across diverse 3‑D geometries, matching simulation fidelity with less compute time. Tested on varied components. getnews.me/neural-diffeomorphic-ope... #neuraloperator
JPEG Processing Neural Operator for Backward-Compatible Coding
Byeonghun Lee, Kyong Hwan Jin et al.
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