Sheng Shen

Title: Innovations of Sheng Shen in NMR Relaxation Time Inversion

Introduction

Sheng Shen is an accomplished inventor based in Wuhan, China. He has made significant contributions to the field of nuclear magnetic resonance (NMR) through his innovative approaches. His work focuses on enhancing the efficiency and accuracy of NMR relaxation time inversion methods.

Latest Patents

Sheng Shen holds a patent for an "NMR relaxation time inversion method based on unsupervised neural network." This method involves simulating an inversion kernel matrix, continuous NMR relaxation time spectrum, and noise. It calculates NMR relaxation signals as samples, which form a sample set. The invention constructs an unsupervised neural network model and defines a loss function for it. By using samples from the training set as inputs, the model achieves an optimal mapping relationship between NMR relaxation signals and the NMR relaxation time spectrum, minimizing the loss function. This innovative approach allows for the use of experimental data as training samples without the need for labeling, enabling automatic learning of optimal regularization parameters.

Career Highlights

Sheng Shen is affiliated with the Innovation Academy for Precision Measurement Science and Technology, where he continues to advance research in his field. His work has garnered attention for its practical applications and potential to improve NMR techniques.

Collaborations

Sheng collaborates with notable colleagues, including Li Chen and Junfei Chen, who contribute to his research endeavors.

Conclusion

Sheng Shen's innovative contributions to NMR technology exemplify the impact of modern inventions in scientific research. His work not only enhances the understanding of NMR but also paves the way for future advancements in the field.