Zhenan Bao

Stanford University

K.K. Lee Professor

Zhenan Bao is K.K. Lee Professor of Chemical Engineering, and by courtesy, a Professor of Chemistry and a Professor of Material Science and Engineering at Stanford University. Prior to joining Stanford in 2004, she was a Distinguished Member of Technical Staff in Bell Labs, Lucent Technologies from 1995-to 2004. She received her Ph.D. in Chemistry from the University of Chicago in 1995. Bao is a member of the National Academy of Engineering, the American Academy of Arts and Sciences.

2023 ACS Fall POLY: CME NASA Symposium Abstract

Bioelectronics Applications of Skin-Inspired Electronics

Skin-inspired electronics is emerging as a new generation of soft electronics that may allow intimate contact with biological systems with minimal mechanical damage. Furthermore, they allow sensing information with higher signal-to-noise ratio due to the lower impedance at electrode-tissue interface. In this talk, I will discuss several projects related to engineering conductive materials and developing fabrication methods to allow electronics with effective electrical interfaces with biological systems, through tuning their electrical as well as mechanical properties. The end-result is a soft electrical interface that has both low interfacial impedance as well as match mechanical properties with biological tissue. Several applications of such electronics will be presented.

2022 CME NASA Symposium Abstract

Engineering Soft Polymer Electronics for Bio Interfaces

Soft polymer electronics have several desirable features for bioelectronic interfaces. In addition to their ability to accommodate the dynamic movement and change in size due to grow of organ, the high surface area of conducting polymer hydrogel results in low tissue-electronics interfacial impedance. This enables low-voltage electrical stimulation and high-resolution electrophysiological recording. In this talk, I will present materials design, fabrication, and applications of soft polymer electronics for bio interfaces. Examples include morphing electronics, high-density electrophysiological mapping, and neural transmitter sensing.