Chen Wang

Title: Innovations by Inventor Chen Wang in Alkane Vapor Detection

Introduction

Chen Wang is an innovative inventor based in Salt Lake City, Utah. With a focus on cutting-edge sensor technology, he has made significant contributions to the field of vapor detection. His work plays a vital role in advancing safety and efficiency in various industries.

Latest Patents

Wang holds a notable patent for an "Interfacial nanofibril composite for selective alkane vapor detection." This invention encompasses a nanofiber composite sensor designed specifically for detecting alkanes. The sensor features a network of contacting nanofibers, each forming multiple contact points that create an interfiber interface comprised of interdigitated alkyl chains. The efficiency of this sensor lies in its ability to adsorb alkanes at the interfiber interface, which causes an increase in the interfiber distance between the first and second nanofibers and a decrease in charge transfer efficiency. This innovative design allows for the detection of alkanes in both vapor and liquid phases.

Career Highlights

Currently, Chen Wang is associated with the University of Utah Research Foundation. His affiliation with this prominent institution equips him with the resources and collaborative environment necessary for pioneering research and development in sensor technologies.

Collaborations

Wang has had the privilege of working alongside esteemed colleagues such as Ling Zang and Benjamin R Bunes. Their collaborative efforts in the realms of nanotechnology and sensor development have led to groundbreaking advancements, enhancing the effectiveness of their research initiatives.

Conclusion

Chen Wang stands out as a key contributor in the area of alkane vapor detection through his innovative patents and collaborative spirit. His work at the University of Utah Research Foundation underscores the importance of interdisciplinary partnerships in driving forward the boundaries of technology and science. With his ongoing research, Wang continues to pave the way for safer and more efficient detection methods in various applications.