eWEAR Symposium Fall 2021- part 1 (virtual half-day)

Zhenan Bao is a K.K. Lee Professor in Chemical Engineering at Stanford University, with courtesy appointments in Chemistry and Material Science and Engineering. She has served as the Department Chair of Chemical Engineering from 2018. Prof. Bao is a member of the National Academy of Engineering and National Academy of Inventors. She founded the Stanford Wearable Electronics Initiative (eWEAR) and is the faculty director. She is also an affiliated faculty member of Precourt Institute, Woods Institute, ChEM-H and Bio-X. Prof. Bao received her Ph.D. degree in Chemistry from The University of Chicago in 1995 and then joined the Materials Research Department of Bell Labs, Lucent Technologies. Prof. Bao currently has more than 500 refereed publications and more than 65 US patents. She is a Founder on the Board of Directors of C3 Nano Co. and PyrAmes, both Silicon Valley venture funded companies. She was a recipient of the ACS Central Science Disruptor and Innovator Prize in 2020, ACS Gibbs Medal recipient in 2020, Wilhelm Exner Medal from the Austrian Federal Minister of Science in 2018, the L’Oreal UNESCO Women in Science Award North America Laureate in 2017. She was awarded the ACS Applied Polymer Science Award in 2017 and ACS Creative Polymer Chemistry Award in 2013. Prof. Bao has been selected by Nature magazine as “Ten People Who Mattered” and “Master of Materials” for her work on artificial electronic skin in 2015.

Angela McIntyre is the Executive Director of the Stanford Wearable Electronics (eWEAR) Initiative. She manages the eWEAR affiliates program and provides member companies opportunities to connect with research and events related to wearables at Stanford University. Before coming to Stanford, Angela was the lead analyst for industry research on wearables at Gartner. She advised companies bringing emerging wearable technology to market and was a frequent speaker at industry events. Her research included wearables as part of the Internet of Things, for artificial intelligence applications, for healthcare and as human-machine interfaces. Angela’s career in the tech industry also includes management of multi-company research programs at Intel and of R&D collaborations with semiconductor process equipment suppliers at Texas Instruments. Angela has an M.S. in Electronic Materials from the Massachusetts Institute of Technology, an M.S. in Management from MIT Sloan School and a Bachelors of Electrical Engineering from the University of Dayton.

Todd P. Coleman received B.S. degrees in electrical engineering, as well as computer engineering from the University of Michigan. He received M.S. and Ph.D. degrees from MIT in electrical engineering and did postdoctoral studies at MIT in neuroscience. He is currently an Associate Professor in the Department of Bioengineering at Stanford University. Dr. Coleman’s research is very multi-disciplinary, using tools from applied probability, physiology, and bioelectronics. His research intersects fundamental information theory and machine learning techniques with development of novel technologies to monitor and modulate human physiology. He has been selected as a National Academy of Engineering Gilbreth Lecturer, as a TEDMED speaker, and as a Fellow of the American Institute for Medical and Biological Engineering.

We will discuss the development of adhesive-integrated stretchable electronic systems that wed microfabrication and screen printing methods with a mindset of manufacturing scalability. The end result is a class of minimally obtrusive systems that combine sensing of multiple modalities, integration of dies or thinly packaged chips, and antennas for fully functional miniaturized wireless systems transmit physiologic information. We will demonstrate how these approaches are compatible with existing large-scale manufacturing, soldering, and roll-to-roll processing techniques. We will also demonstrate applications of these systems in monitoring electrophysiology of the brain and stomach, as well as core body temperature, for neurology, gastroenterology, and vital signs monitoring applications, respectively. Altogether, we will discuss implications of our work, in particular for widening the scope of opportunities for population health.

Evan Reed is Associate Professor of Materials Science and Engineering at Stanford University. He received a B.S. in applied physics from Caltech (1998) and PhD. in physics from MIT (2003). In 2004, he was an E. O. Lawrence Fellow and staff scientist at Lawrence Livermore National Laboratory before moving to Stanford in 2010.

Evan Reed’s recent work focuses on atomic scale theory and modeling of 2D and other electronic materials, statistical learning for chemical and energy storage applications, structural phase changes for PCM, and high pressure shock wave compression. His group has pioneered the application of data science and machine learning approaches to materials selection problems within these application domains.

He is the Charles Lee Powell faculty scholar in the School of Engineering. He has been a Robert Noyce Faculty Scholar within the Stanford University School of Engineering and a recipient of the DARPA Young Faculty Award, NSF CAREER Award, and Office of Naval Research Young Investigator Program (YIP) Award.

Batteries of the future will benefit from being adaptable to suit specific application environments and performance metrics. For example, electric vehicle applications present very different requirements than wearable applications. I will discuss our efforts to combine diverse data sets and materials property calculations with physics and intuition to identify new battery chemistries that satisfy a spectrum of desirable performance metrics. Traditional approaches to battery chemistry development involve the identification of one battery component and optimization of one or two of the desired properties of that component. This approach has been a barrier to the development of new batteries, which are systems of multiple interacting materials that require the simultaneous satisfaction of perhaps a dozen performance metrics and interfacial compatibility conditions. I will discuss our efforts to develop holistic screening techniques to identify promising solid electrolytes and cathodes that satisfy the full spectrum of desired properties, discovered through data science screening approaches, physics informed machine learning, and density functional theory simulations. Specifically we have identified several new low cost sulfur based electrolytes that are expected to be superior to known sulfur electrolytes and have potential to be scaled up in manufacturing. We also identify several cathodes that are more compatible with solid electrolytes than currently studied cathodes.

Ruike (Renee) Zhao is currently an Assistant Professor in the Department of Mechanical Engineering at Stanford University. She received her PhD degree in solid mechanics from Brown University in 2016. She was a postdoc associate at MIT during 2016-2018. She started at The Ohio State University as an Assistant Professor in August 2018 before joining Stanford in 2021. Her research concerns the fundamental science and the development of stimuli-responsive polymeric soft composites for soft robotic systems with integrated multifunctionality including shape-changing, locomotion, and navigation. By combining mechanics, polymer engineering, and advanced material manufacturing techniques, the functional soft composite systems will enable biomedical applications with a focus on developing miniaturized biomedical devices for minimally invasive surgeries. Renee is a recipient of the ASME Haythornthwaite Research Initiation Award (2018) and the NSF Career Award (2020).

Magnetic soft composites are a type of stimuli-responsive materials that can generate large deformation and locomotion under external magnetic fields. They have recently attracted great interest due to the increasing demand for programmable materials that can be easily controlled to achieve complex functionalities for untethered morphing and reconfigurable structures. In particular, these composites are considered to be competitive candidates for developing soft robots as biomedical devices for drug delivery and minimally invasive surgeries for two major reasons: the magnetic untethered control (1) offers a safe and effective operation method for biomedical applications, which typically require remote actuation in enclosed and confined spaces; and (2) separates the power source and controller from the device, making miniaturized robots possible. In this talk, new magnetic soft composites and magnetic origami robots will be introduced for untethered multifunctional deformation and locomotion. These material and structural systems provide new mechanisms for robots and devices for environments with limited access, such as those in the human body. Next, a ring origami self-guided folding mechanism for wearable devices will also be introduced. At the end of this talk, future directions in fundamental research and novel applications of magnetic soft composites and foldable origami mechanisms will be discussed.

Alwin Daus is a postdoctoral scholar in the Department of Electrical Engineering (Prof. Eric Pop’s group) since November 2018. He is supported by the Postdoc. Mobility Fellowship from the Swiss National Science Foundation. He obtained his PhD degree from ETH Zurich (Switzerland), where he worked on flexible electronics. He did his B.Sc. and M.Sc. in Electrical Engineering at Technische Universitaet Braunschweig (Germany). During his B.Sc. and M.Sc studies, he did research stays and internships at Princeton University (Surface Chemistry), Robert Bosch LLC (MEMS), and Philips Technologie GmbH (OLED Lighting).

Chalcogenides are compounds based on elements like sulfur, selenium and tellurium, and have attracted great interest in electronics and photonics. Particularly transition metal dichalcogenides (TMDs) can be used as atomically thin channel materials for ultra-scaled transistors with low power consumption and as ultrathin absorbers for light-weight solar cells. We have recently developed a new integration approach to realize these types of devices on flexible substrates which preserves high material and interface quality. In this talk, first the fabrication and characteristics of high-performance flexible nanoscale TMD transistors will be discussed. Afterwards, the same approach is used to realize flexible solar cells with high power-per-weight and flexible temperature sensors with fast response time. Furthermore, there are tellurium-based phase-change memory (PCM) materials which can be directly deposited on flexible substrates. We will show flexible superlattice PCM with extraordinarily low switching current density and multibit capabilities. These results indicate that future flexible electronic systems for the Internet of Things could be entirely based on chalcogenide compounds paving the way to self-powered operation thanks to low energy consumption and integrated energy harvesters.

Eric Pop is a Professor of Electrical Engineering (EE) and Materials Science & Engineering (by courtesy) at Stanford. He was previously on the faculty of UIUC (2007-13) and worked at Intel (2005-07). His research interests are at the intersection of electronics, nanomaterials, and energy. He received his PhD in EE from Stanford and three degrees from MIT (MEng and BS in EE, BS in Physics). His honors include the Presidential Early Career Award (PECASE), Young Investigator Awards from the Navy, Air Force, NSF and DARPA, and several best paper and best poster awards with his students. In 2018, he was named one of the world’s Highly Cited Researchers by Web of Science. He is an Editor of 2D Materials, has served as General Chair of the Device Research Conference, and on program committees of VLSI, IEDM, APS, and MRS conferences. In his spare time he tries to avoid injuries while snowboarding and in a past life he was a DJ at KZSU 90.1 FM, from 2000-04. Additional information about the Pop Lab is available online at http://poplab.stanford.edu