News & Events

The human eye, as one of the most vulnerable organs, is a complex visual system, which processes vision based on the perception of electromagnetic radiation. Flexible image sensors can mimic the function of human eyes, thus realizing many emerging applications, including machine vision, short wave infrared surveillance, and near-infrared medical imaging. Read more

Each atomic layer in van der Waals heterostructures possesses a distinct electronic band structure that can be manipulated for unique device operations. In the precise device architecture, the subtle but critical band coupling between the atomic layers, varied by the momentum of electrons and external electric fields in device operation, has not yet been... Read more

The second quantum revolution, the transition from quantum theory to quantum engineering, is leading us towards practical quantum computing. However, there are still many obstacles hindering practical quantum computing. In this talk, I will briefly review the challenges and research opportunities... Read more

Internet of things demand large performance improvements in integrated circuit systems. Two possible approaches exist for advancing IC fabrication for future electronics. I would discuss on materials development associated with these two approaches. (1) Continue the transistor scaling (Moore’s Law). With the scaling for future technology nodes, the gate controllability becomes... Read more

Flexible bioelectronics have greatly improved the way of human-machine interaction due to the fact that they can provide seamless interactions with humans. Especially, flexible and stretchable inorganic thin-film electronics play an increasingly important role because of the advantages of mature processibility and rich physicochemical properties of inorganic functional materials. Read more

The rapid development in the field of artificial intelligence has relied principally on the advances in computing hardware However, their system scale and energy efficiency are still limited compared to the brain Memristor or redox resistive switch, provides a novel circuit building block that may address these challenges in neuromorphic computing and machine learning. In this talk, I will first briefly introduce the promises and challenges... Read more

Analog computing pre-dates digital computing but has been long forgotten due to the fast development of the latter. While very powerful, digital computing is highly inefficient at performing perception related tasks, and the problem becomes increasingly significant with the fast development of artificial intelligence and transistor scaling approaching their physical (and economic) limit. Read more

Neural Networks (NNs) have been widely employed in modern artificial intelligence (AI) systems due to their unprecedented capability in classification, recognition and detection. However, the massive data communication between the processing units and the memory has been proven to be the main bottleneck to improve the efficiency of NNs based hardware. Furthermore, the significant power demand for... Read more

Spintronics has been widely studied for decades and various applications have been incubated from spintronics Particularly, spintronic memory has been considered as one of the most promising nonvolatile memory candidates to address the leakage power consumption in the post Moore’s era. To date, spintronic memory family has evolved in four generation technology advancement and has achieved mass production in standalone and embedded applications. Read more

Recent advances in AI technology bring great challenges on the computing platform. Conventional platform based on CMOS devices and von Neumann architecture becomes more and more difficult to further improve the computing efficiency. The concept of Computation-in-Memory (CIM) based on the emerging non-volatile memory devices, such as resistive random access memory (RRAM), provide new solutions for... Read more