About me

My name is Wei Wang (王伟 in Chinese). I am now a senior Scientist at Peng Cheng Laboratory (鹏城实验室), Shenzhen, China.

My research interests include neuromorphic computing, resistive switching devices (memristor, RRAM, ReRAM, CBRAM), Semiconductor physics, nano electronic devices, etc.

Email: wangweifcc (at) gmail.com, wangwei (at) pcl.ac.cn

You can find my CV here or at other platforms:

Google Scholar: https://scholar.google.it/citations?user=b_HUmnWHeiMC&hl=en

Research Gate: https://www.researchgate.net/profile/Wei_Wang1054

Web of Science: https://www.webofscience.com/wos/author/record/1069888

Projects

Y-Flash memristor and memristive deep belief networks

Simulation and modeling of volatile memristive devices

Spiking neural network with non-volatile synapses

Volatile synapses enabled physically spatiotemporal processing

News

12/2022

Our paper titled "A memristive deep belief neural network based on silicon synapses" has been published in Nature Electronics for the hard work from all of the coauthors and supports from the colleagues in Techion Asic2 Lab!

https://www.nature.com/articles/s41928-022-00878-9

02/2022

Our paper with the title of "Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices" has been published in Advanced Intelligent System. Thanks for the hard work from all of the coauthors and supports from the colleagues in Techion Asic2 Lab!

https://onlinelibrary.wiley.com/doi/full/10.1002/aisy.202100249

01/2022

I have moved back to China, and started a new position at Peng Cheng Laboratory in Shenzhen!

12/2021

Our paper about the operation mechanims and compact modeling of Y-Flash memristors has been published in Applied Physics Letters. The work is a collabrated results of Technion and TowerJazz Semiconductor. Thanks for the hard work from all of the coauthors and supports from the colleagues in Techion Asic2 Lab.

https://aip.scitation.org/doi/abs/10.1063/5.0069116

07/2021

A review paper with the title of "Memristive Crossbar Arrays for Storage and Computing Applications" was published in Advanced Intelligent Systems.

https://onlinelibrary.wiley.com/doi/full/10.1002/aisy.202100017

06/2021

Dr. Ming Wang, Dr. Erika Covi, Dr. Gianluca Milano and me are co-editing a special issue "Devices, Architectures, and Applications of Neuromorphic Computing" on Electronics. Welcome for submssions of your extraordinary works! https://www.mdpi.com/journal/electronics/special_issues/NC_electronics

04/2021

Our paper with the titile of "Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching Memories" is now published in Advanced Intellegent Systems.

In this paper we take inspiration from the biological DS ganglion cells in the retina, and demonstrate the motion detection in an artificial neural network made of volatile resistive switching devices with short-term memory effects. The motion detection arises from the spatiotemporal correlation between the adjacent excitatory and inhibitory receptive fields with short-term memory synapses, closely resembling the physiological response of DS ganglion cells in the retina. The work supports real-time neuromorphic processing of sensor data by exploiting the unique physics of innovative memory devices.

The paper is selected to the collection of Editor's Choice of Advanced Intellegent Systems.

12/2020

Our review paper about "Integration and Co-design of Memristive Devices and Algorithms for Artificial Intelligence" is published in iScience by the Cell press. The paper summarized the challenges and opportunities of using memristive devices in deep learning accelerators and brain-like computing.

The paper is collaborately wrote with the help of Prof. Joshua Yang from University of Southern California, Prof. Daniele Ielmini from Politecnico di Milano, and other top scientists in the field.

09/2020

I am awarded by the Andrew and Erna Finci Viterbi Fellowship for 2020-2021 academic year.

Andrew and Erna Finci Viterbi have a long history of supporting the Technion and Israel. The faculty of Electrical Engineering in Technion are now named after them. Andrew Viterbi is one of the cofounder of Qualcomm Inc. and invented the Viterbi algorithm, an important algorithm for wireless communication.

Here is more information about the Viterbis and their support to Technion, especially the support to the faculty of Electrical Engineering.

08/2020

I moved to Haifa, Israel, and joined the ASIC2 group lead by Prof. Shahar Kvatinsky at the Viterbi Faculty of Electrical Engineering, Technion - Israel Institute of Technology.

Check my new webpage on ASIC2 group.

12/2019

Participanted in IEDM 2019 in San Fransicico on Dec. 9th-11th.

Our paper titled "Modeling of switching speed and retention time in volatile resistive switching memory by ionic drift and diffusion" was presented in Session 32: Modeling and Simulation.

01/2019

My first-authored paper was published in Nature Communications on Jan. 8th, 2019.

Learn more behind the paper from the blog (https://go.nature.com/2FkYnKe) ‘Atomic surfing controls the memory lifetime’ on Nature Device & Materials Engineering Community website, by our corresponding author, Prof. Daniele Ielmini.

Here are some introductions about this work.

12/2018

My first-authored work titled "Physics-based modeling of volatile resistive switching memory (RRAM) for crosspoint selector and neuromorphic computing", was presented in 2018 IEDM conferences which was hold in Dec. 3rd-5th, 2018, San Francisco. The paper was also featured in the promotion video of the IEDM. View the video on YouTube .