Author

Hai Feng

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Aug 2026

STELT: A spatiotemporal deep learning framework for diffusion-ordered NMR spectroscopy reconstruction with artifact suppression.

STELT (Spatiotemporal Extraction Laplace Transform), a lightweight deep-learning framework based on spatiotemporal feature extraction, is proposed, which achieves superior reconstruction accuracy and noise suppression with significantly reduced computational overhead.

Jing-Min Lin, Bo Chen, Guolan Peng et al. · Journal of Chemical Physics · 0 citations

Aug 2026

High-Resolution Phase-Sensitive NMR Reconstruction for Protein Studies Using Diffusion-Based Deep Learning.

This study presents a diffusion-based deep-learning framework for automatic phase-sensitive NMR spectrum reconstruction directly from common NMR experimental data, free of quadrature acquisition and phase correction operation.

Zhuoran Rong, Bo Chen, Jie Shao et al. · Analytical Chemistry · 0 citations