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Zhongjun Chen

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Aug 2026

Unlocking High-Fidelity Chemical NMR Spectral Information from Nonuniformly Sampled Experiments with Deep Learning.

Comprehensive evaluations across multiple biomolecular NMR experiments demonstrate that CLEAR consistently outperforms state-of-the-art reconstruction methods, reducing reconstruction errors (RLNE) by approximately 16-25% while exhibiting overall superior or competitive performance across multiple quantitative metrics,...

Jing-Min Lin, Ze Fang, Bo Chen et al. · 0 citations
Open access Aug 2026

Enhancing generalization in non-uniformly sampled NMR spectra reconstruction via accelerated conditional diffusion models

An accelerated conditional diffusion model for multidimensional NMR spectra reconstruction is presented, formulating the task as a probabilistic iterative denoising process that progressively refines undersampled spectra under physical constraints and outperforms both traditional and end-to-end deep learning algorithms...

Bo Chen, Xun Guan, Zhuoran Rong et al. · 0 citations

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