World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
88
Citations
42149
World Ranking
315
National Ranking
151

Materials Science

D-Index
84
Citations
40460
World Ranking
2213
National Ranking
647

Overview

Wei Lu is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans engineering with a focus on electrical and electronic engineering, artificial intelligence, cognitive neuroscience, biomedical engineering, and cellular and molecular neuroscience.

The scientist's work covers a range of topics including advanced memory and neural computing, ferroelectric and negative capacitance devices, neural dynamics and brain function, photoreceptor and optogenetics research, neuroscience and neural engineering, neural networks and reservoir computing, and transition metal oxide nanomaterials.

Wei Lu has contributed to numerous publications, frequently appearing in venues such as arXiv (Cornell University), SSRN Electronic Journal, ECS Meeting Abstracts, Advanced Intelligent Systems, and Nature Communications.

Their recent papers include:

  • Memristive technologies for data storage, computation, encryption, and radio-frequency communication, 2022, Science
  • Training Spiking Neural Networks Using Lessons From Deep Learning, 2023, Proceedings of the IEEE
  • Dynamical memristors for higher-complexity neuromorphic computing, 2022, Nature Reviews Materials
  • Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks, 2020, Nature Electronics
  • Hardware implementation of memristor-based artificial neural networks, 2024, Nature Communications

Wei Lu collaborates frequently with other researchers, including:

  • Jason K. Eshraghian
  • Yuting Wu
  • Ziyu Wang
  • Xinxin Wang
  • Sangmin Yoo

Best Publications

  • Nanoscale Memristor Device as Synapse in Neuromorphic Systems

    Sung Hyun Jo;Ting Chang;Idongesit Ebong;Bhavitavya B. Bhadviya

  • Nanoelectronics from the bottom up

    Wei Lu;Charles M. Lieber

  • The future of electronics based on memristive systems

    Mohammed A. Zidan;John Paul Strachan;Wei D. Lu

  • Ge/Si nanowire heterostructures as high-performance field-effect transistors

    Jie Xiang;Wei Lu;Yongjie Hu;Yue Wu

  • Single-crystal metallic nanowires and metal/semiconductor nanowire heterostructures

    Yue Wu;Jie Xiang;Chen Yang;Wei Lu

  • Observation of conducting filament growth in nanoscale resistive memories

    Yuchao Yang;Peng Gao;Siddharth Gaba;Ting Chang

  • A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications

    Kuk Hwan Kim;Siddharth Gaba;Dana Wheeler;Jose M. Cruz-Albrecht

  • Short-term memory to long-term memory transition in a nanoscale memristor.

    Ting Chang;Sung-Hyun Jo;Wei Lu

  • TOPICAL REVIEW: Semiconductor nanowires

    Wei Lu;Charles M. Lieber

  • Reservoir computing using dynamic memristors for temporal information processing

    Chao Du;Fuxi Cai;Mohammed A. Zidan;Wen Ma

  • Glycopeptide and Lipoglycopeptide Antibiotics

    Dan Kahne;Catherine Leimkuhler;Wei Lu;Christopher Walsh

  • Controlled deposition of individual single-walled carbon nanotubes on chemically functionalized templates

    Jie Liu;Michael J. Casavant;Michael Cox;D.A. Walters

  • High-density crossbar arrays based on a Si memristive system.

    Sung Hyun Jo;Kuk Hwan Kim;Wei Lu

  • A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations

    Fuxi Cai;Justin M. Correll;Seung Hwan Lee;Yong Lim;Yong Lim

  • Electrochemical dynamics of nanoscale metallic inclusions in dielectrics

    Yuchao Yang;Peng Gao;Peng Gao;Linze Li;Xiaoqing Pan

  • One-dimensional hole gas in germanium/silicon nanowire heterostructures

    Wei Lu;Jie Xiang;Brian P. Timko;Yue Wu

  • Recommended Methods to Study Resistive Switching Devices

    Mario Lanza;H.-S. Philip Wong;Eric Pop;Daniele Ielmini

  • Sparse coding with Memristor networks

    Wei Lu;Fuxi Cai;Patrick Sheridan;Chao Du

  • Synthesis and Fabrication of High‐Performance n‐Type Silicon Nanowire Transistors

    Gengfeng Zheng;Wei Lu;Song Jin;Charles M. Lieber

  • Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing.

    Xiaojian Zhu;Da Li;Xiaogan Liang;Wei D. Lu

  • CMOS compatible nanoscale nonvolatile resistance switching memory.

    Sung Hyun Jo;Wei Lu

Frequent Co-Authors

Sung Hyun Jo
Sung Hyun Jo CrossBar Inc.
Yuchao Yang
Yuchao Yang Peking University
James M. Tour
James M. Tour Rice University
Christopher T. Walsh
Christopher T. Walsh Stanford University
Yue Wu
Yue Wu Iowa State University
Qing Wan
Qing Wan Nanjing University
Zhengya Zhang
Zhengya Zhang University of Michigan–Ann Arbor
Daniel Kahne
Daniel Kahne Harvard University
Emmanouil Kioupakis
Emmanouil Kioupakis University of Michigan–Ann Arbor
Run-Wei Li
Run-Wei Li Chinese Academy of Sciences

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