Physics Colloquium - A Path to Energy Efficient Artificial Intelligence
Two dimensional materials based “Iontronic” devices - a path to energy efficient logic, memory, and artificial intelligenceDr. Ke XuAssistant ProfessorUniversity of PittsburghAbstract:With the impending rise of the “Internet of Things” and the “2nd quantum revolution”, the pace of data creation will increase exponentially. Processing of these data demands electronics that are more powerful, but requires less energy. However, the continuous miniaturization of electronics is nearing an end due to physical constraints. Novel materials systems and device concepts are needed. Two-dimensional (2D) materials are molecularly thin, layered materials that have great potential in energy-efficient electronics and photonics. Iontronics is a newly emerging, interdisciplinary concept that bridges electronics and ionics, and covers solid-state physics, electronic engineering, and biological sciences. I will describe my work using ions to control transport in 2D materials such as graphene and transition metal dichalcogenides (TMDs) for applications in next generation low-power transistors, non-volatile memory, and artificial synaptic devices at the ultimate limit of scaling.Speaker Bio:Ke Xu is a Research Assistant Professor at University of Pittsburgh, and Executive Co-Director of the Pittsburgh Quantum Institute. He received his B.S. in Optoelectronics from Zhejiang University in China, and his Ph.D. in Electrical Engineering from University of Illinois at Chicago, with his doctoral research focused on graphene- and DNA aptamer-based nanoelectronic devices for photodetecting and biomolecular sensing. Before joining Pitt, he worked at University of Notre Dame as a post-doc on low-voltage steep subthreshold swing components for beyond-CMOS electronics. His current research interests include two-dimensional (2D) materials based nanoelectronic devices, with the focus on understanding ion-electron transport at the molecular level, for applications in energy efficient memory and logic, energy storage, and quantum information science.Intended Audience:No background knowledge required. All are welcome.
Event Snapshot
When and Where
Who
This is an RIT Only Event
Interpreter Requested?
No