Cheng Liu

Title: Cheng Liu: Innovator in Seismic Prediction and Dielectric Materials

Introduction

Cheng Liu is a prominent inventor based in Chengdu, China. He has made significant contributions to the fields of seismic prediction and microwave dielectric materials. With a total of 2 patents, his work showcases innovative approaches to complex scientific challenges.

Latest Patents

One of Cheng Liu's latest patents is a seismic quantitative prediction method for shale total organic carbon (TOC) based on sensitive parameter volumes. This method involves determining a target stratum for TOC measurement, analyzing logging curves that correlate with TOC contents, and utilizing a radial basis function (RBF) neural network to predict TOC values. The process includes constructing sample data, training the RBF neural network, and inverting sensitive parameter volumes using seismic data to achieve accurate predictions.

Another notable patent is for a Li3Mg2SbO6-based microwave dielectric ceramic material that is easy to sinter and possesses a high quality factor (Q value). The preparation method includes mixing and ball-milling specific chemical components, conducting pre-sintering, and sintering the cylindrical body into ceramic at high temperatures. The resulting material exhibits a dielectric constant ranging from 7.2 to 8.5 and a quality factor between 51844 and 97719 GHz.

Career Highlights

Cheng Liu has worked at esteemed institutions such as the University of Electronic Science and Technology of China and Chengdu University of Technology. His academic and research endeavors have significantly advanced the understanding and application of seismic prediction methods and dielectric materials.

Collaborations

Cheng Liu has collaborated with notable colleagues, including Hongyang Zhang and Qinghui Yang. Their joint efforts have contributed to the development of innovative technologies and methodologies in their respective fields.

Conclusion

Cheng Liu's work exemplifies the spirit of innovation in the realms of seismic prediction and dielectric materials. His patents reflect a commitment to advancing technology and addressing complex scientific problems.