[July-2019] Fuxi’s paper on the integrated memristor chip published in Nature Electronics as Cover Article.
[May-2019] Jong Hoon Shin defended his PhD Thesis. Congratulations to Dr. Shin!
[February-2019] Xiaojian’s paper on ionic effects in memristive MoS2 devices published in Nature Materials.
[December-2018] Fuxi Cai defended his PhD Thesis. Congratulations to Dr. Cai!
[November-2018] YeonJoo Jeong defended his PhD Thesis. Congratulations to Dr. Jeong!
[June-2018] Jihang Lee defended his PhD Thesis. Congratulations to Dr. Lee!
[June-2018] Mohammed’s paper on memristor-array based efficient partial-differential equation solver published in Nature Electronics.
[December-2017] Wen Ma defended her PhD Thesis. Congratulations to Dr. Ma!
[November-2017] Prof. Lu was elected IEEE Fellow “for contributions to development of neuromorphic systems”. Congratulations to Prof. Lu!
[November-2017] Chao’s paper on memristor-based reservoir computing systems published in Nature Communications.
[August-2015] Dr. Yuchao Yang joined the faculty of Peking University
[June-2016] Dr. Bing Chen joined the faculty of Zhejiang University
[28-November-2016] Chao Du defended his PhD Thesis. Congratulations to Dr. Du! Metal oxide memristors, a two-‐terminal nanoscale semiconductor device whose resistance/conductance can be regulated according to the history of applied stimulations, are initially proposed as a promising candidate for …
[17-August-2016] Jiantao defended his PhD Thesis. Congratulations to Dr. Zhou! The demand for data storage – from mobile devices to enterprise applications – has been driving the explosive development of non-volatile memories (NVMs). However, as the Moore’s Law approaches its …
[7-July-2016] Ugo defended his PhD Thesis. Congratulations to Dr. Otuonye! As the demand for cheaper and faster computing continues to increase, the semiconductor industry has relied on transistor scaling to meet this demand. With transistor size approaching the atomic limit …
Jo’s memristor synapse paper cited more than 2000 times
posted Feb 16, 2016, 3:25 PM by Mohammed Zidan [ updated Feb 19, 2016, 2:22 PM by Wei Lu ]
In March 2010, Sung Hyun (“Jo”), Kuk-Hwan and our collaborators published the first experimental study showing memristors can effectively act as synapses. The work titled “Nanoscale Memristor Device as Synapse in Neuromorphic Systems
”, published in Nano Letters
, has stimulated significant interest from research communities around the world and formed the basis for several research programs towards bio-inspired computing. According to Google Scholar
, the manuscript has now been cited over 1000 times. The work was also featured in Nature, EE Times, New Scientist, PhysicsOrg, Chemistry World and other news outlets.
Paper Abstract: A memristor is a two-terminal electronic device whose conductance can be precisely modulated by charge or flux through it. Here we experimentally demonstrate a nanoscale silicon-based memristor device and show that a hybrid system composed of complementary metal−oxide semiconductor neurons and memristor synapses can support important synaptic functions such as spike timing dependent plasticity. Using memristors as synapses in neuromorphic circuits can potentially offer both high connectivity and high density required for efficient computing.
Congratulations to Jo and the other authors!
Lin Chen defended his PhD Thesis
posted Feb 16, 2016, 3:01 PM by Mohammed Zidan [ updated Feb 16, 2016, 3:08 PM ]
Lin successfully defended his PhD thesis titled “Vertical Integration of Germanium Nanowires on Silicon Substrates for Nanoelectronics”. In his dissertation, he focuses on Vapor-Liquid-Solid (VLS) synthesized Germanium nanowires with nanoscale size, and investigates their potential as electronic devices. We discuss a strategy to grow vertical, taper-free Ge nanowires on Si with good flexibility and controllability. Specifically, he verifies the presence of high-quality, abrupt Ge/Si heterojunction as a result of vertical integration. In addition, several single-nanowire vertical devices based on this material system are demonstrated, including heterodiode, junctionless transistor and tunnel transistor. Experimental characterization of these devices are complemented by various device models and good agreement is reached.
Thesis Abstract: In this dissertation, we Rapid development of semiconductor industry in recent years has been primarily driven by continuous scaling, which allows for manufacturing integrated circuits with higher computing power at a reduced cost. As the size of the transistors approaches tens of nanometers, we are now faced with new technological challenges brought by aggressive scaling. To this end, unconventional semiconductor material and novel device structure have attracted a lot of interests as promising candidates to replace MOSFET with Si channel and help extend the Moore’s law.
Congratulations Dr. Chen!
Patrick successfully defended his PhD thesis titled “Neuromorphic Computing with Resistive Switching Devices”. His dissertation presents the investigation of tungsten oxide based resistive switching devices for use in neuromorphic computing applications. Device structure, fabrication, and integration are described and physical models are developed to describe the behavior of the devices. These models are used to develop array-scale simulations in support of neuromorphic computing approaches. Several signal processing algorithms are adapted for acceleration using arrays of resistive switches. Both simulation and experimental results are reported. Finally, guiding principles and proposals for future work are discussed.
Thesis Abstract: Resistive switches, commonly referred to as resistive memory (RRAM) devices and modeled as memristors, are an emerging nanoscale technology that can revolutionize data storage and computing approaches. Enabled by the advancement of nanoscale semiconductor fabrication and detailed understanding of the physical and chemical processes occurring at the atomic scale, resistive switches offer high speed, low-power, and extremely dense nonvolatile data storage. Further, the analog capabilities of resistive switching devices enable neuromorphic computing approaches which can achieve massively parallel computation with a power and area budget that is orders of magnitude lower than today’s conventional, digital approaches.
Congratulations Dr. Sheridan!
[20-Apr-2015] Shinhyun Choi defended his PhD Thesis! Congratulations to Dr. Choi!
[14-Aug-2014] Jong Hoon Shin & YeonJoo Jeong joined the group. Welcome Jong Hoon and YeonJoo!
[13-Aug-2013] Press coverage of the SALLA project
[13-Aug-2013] Press coverage of Crossbar Inc
[9-Jun-2013] Fuxi Cai joined the group. Welcome Fuxi!
[11-Dec-2012] Wei gave an invited talk on neuromorphic computing based on memristors at the Memco Workshop in Frejus, France.