Jun Chen, PhD,
Postdoctoral Research Fellow, Department of Materials Science and Engineering, Stanford University
George P. Williams, Jr. Lecture Hall, (Olin 101)
Wednesday, January 24, 2018, at 2:00 PM
There will be a reception with refreshments at 1:30 PM in the lounge. All interested persons are cordially invited to attend.
Energy crises and global warming severely limit the ability of human civilization to develop along a sustainable path. By using remotely deployed sensors, the Internet of Things (IoT) has already changed our daily life in fundamental and meaningful ways. On the one hand, batteries may not be the best solution for the IoT, owing to their limited lifetime of batteries, size and environmental problems. Additionally, wide distribution of the sensors and high maintenance costs make batteries an insufficient solution, especially for remote or inaccessible areas. Powering the IoT would be impossible without making the sensors self-powered by harvesting energy from the working environment to ensure long-term operation. On the other hand, the power required for each sensor is small, but the sheer number of sensors in the world can be on the order of billons to trillions. Developing self-powered sensors can save considerable energy.
In this talk, I will introduce my research that contributed to sustainability via energy saving and harvesting by using novel materials and energy technologies. I will firstly introduce a nanophotonic structure textile with tailored infrared property for passive radiative cooling using nanoporous polyethylene fabric, saving more than 20% of the indoor cooling energy. Then, I will present a large-scale woven smart textile for simultaneously harvesting energy from solar radiation and human body biomechanical motion. In addition, I will introduce various self-powered/low-power sensors /systems, especially the machine learning assisted fully integrated stretchable sensor arrays for wearable and low-power sign language translation to voice.