World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
8289
World Ranking
3716
National Ranking
57

Overview

Tuo-Hung Hou is affiliated with National Yang Ming Chiao Tung University in Taiwan. Their research primarily spans the fields of Engineering and Materials Science, with a strong focus on Electrical and Electronic Engineering, Materials Chemistry, Artificial Intelligence, Biomedical Engineering, and Hardware and Architecture.

The scientist's main research topics include Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Semiconductor materials and devices, MXene and MAX Phase Materials, Ferroelectric and Piezoelectric Materials, and Electronic and Structural Properties of Oxides.

They have published extensively in several venues, notably:

  • IEEE Transactions on Electron Devices (17 publications)
  • arXiv (Cornell University) (7 publications)
  • 2022 International Electron Devices Meeting (IEDM) (4 publications)
  • ACS Nano (3 publications)
  • IEEE Electron Device Letters (3 publications)

Some recent papers highlight their contributions over the years:

  • SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices, 2020, Scientific Reports
  • Standards for the Characterization of Endurance in Resistive Switching Devices, 2021, ACS Nano
  • Roadmap to neuromorphic computing with emerging technologies, 2024, APL Materials
  • Progress and Benchmark of Spiking Neuron Devices and Circuits, 2021, Advanced Intelligent Systems
  • Ferroelectric HfZrO2 With Electrode Engineering and Stimulation Schemes as Symmetric Analog Synaptic Weight Element for Deep Neural Network Training, 2020, IEEE Transactions on Electron Devices

The scientist has collaborated frequently with several coauthors, including I-Ting Wang, M. H. Lee, K.-Y. Hsiang, Hsin-Hui Huang, and Ming-Hung Wu.

In addition to journal articles and conference papers, Tuo-Hung Hou has contributed to book publications, notably a work published by Springer Nature titled "Resistive Switching: Oxide Materials, Mechanisms, Devices and Operations" released in 2021.

Best Publications

  • SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices.

    Sandeep Kaur Kingra;Vivek Parmar;Che Chia Chang;Boris Hudec

  • Recommended Methods to Study Resistive Switching Devices

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

  • Electrode dependence of filament formation in HfO2 resistive-switching memory

    Kuan Liang Lin;Tuo Hung Hou;Jiann Shieh;Jun Hung Lin

  • Bipolar Nonlinear $\hbox{Ni/TiO}_{2}\hbox{/}\hbox{Ni}$ Selector for 1S1R Crossbar Array Applications

    Jiun-Jia Huang;Yi-Ming Tseng;Chung-Wei Hsu;Tuo-Hung Hou

  • Standards for the Characterization of Endurance in Resistive Switching Devices.

    Mario Lanza;Rainer Waser;Rainer Waser;Daniele Ielmini;J. Joshua Yang

  • Transition of stable rectification to resistive-switching in Ti/TiO2/Pt oxide diode

    Jiun Jia Huang;Chih Wei Kuo;Wei Chen Chang;Tuo-Hung Hou

  • Optically initialized robust valley-polarized holes in monolayer WSe2.

    Wei Ting Hsu;Yen Lun Chen;Chiang Hsiao Chen;Chiang Hsiao Chen;Pang Shiuan Liu

  • Characterization and Modeling of Nonfilamentary Ta/TaOx/TiO2/Ti Analog Synaptic Device

    Yu-Fen Wang;Yen-Chuan Lin;I-Ting Wang;Tzu-Ping Lin

  • 3D Ta/TaO x /TiO2/Ti synaptic array and linearity tuning of weight update for hardware neural network applications.

    I-Ting Wang;Chih-Cheng Chang;Li-Wen Chiu;Teyuh Chou

  • Stress memorization technique (SMT) by selectively strained-nitride capping for sub-65nm high-performance strained-Si device application

    Chien-Hao Chen;T.L. Lee;T.H. Hou;C.L. Chen

  • Multi-level control of conductive nano-filament evolution in HfO 2 ReRAM by pulse-train operations

    L. Zhao;H. Y. Chen;S. C. Wu;Z. Jiang

  • Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network Based on Analog Resistive Synapse

    Chih-Cheng Chang;Pin-Chun Chen;Teyuh Chou;I-Ting Wang

  • Fully parallel write/read in resistive synaptic array for accelerating on-chip learning.

    Ligang Gao;I-Ting Wang;Pai-Yu Chen;Sarma Vrudhula

  • One selector-one resistor (1S1R) crossbar array for high-density flexible memory applications

    Jiun-Jia Huang;Yi-Ming Tseng;Wun-Cheng Luo;Chung-Wei Hsu

  • Mitigating Effects of Non-ideal Synaptic Device Characteristics for On-chip Learning

    Pai-Yu Chen;Binbin Lin;I-Ting Wang;Tuo-Hung Hou

  • Self-rectifying bipolar TaO x /TiO 2 RRAM with superior endurance over 10 12 cycles for 3D high-density storage-class memory

    Chung-Wei Hsu;I-Ting Wang;Chun-Li Lo;Ming-Chung Chiang

  • 3D synaptic architecture with ultralow sub-10 fJ energy per spike for neuromorphic computation

    I-Ting Wang;Yen-Chuan Lin;Yu-Fen Wang;Chung-Wei Hsu

  • Resistive random access memory (RRAM) technology: From material, device, selector, 3D integration to bottom-up fabrication

    Hong Yu Chen;Stefano Brivio;Che Chia Chang;Jacopo Frascaroli

  • Design Optimization of Metal Nanocrystal Memory—Part I: Nanocrystal Array Engineering

    Tuo-Hung Hou;Chungho Lee;Chungho Lee;V. Narayanan;V. Narayanan;U. Ganguly

  • Large‐Area 2D Layered MoTe2 by Physical Vapor Deposition and Solid‐Phase Crystallization in a Tellurium‐Free Atmosphere

    Jyun Hong Huang;Kuang Ying Deng;Pang Shiuan Liu;Chien Ting Wu

  • Dependence of Read Margin on Pull-Up Schemes in High-Density One Selector–One Resistor Crossbar Array

    Chun-Li Lo;Tuo-Hung Hou;Mei-Chin Chen;Jiun-Jia Huang

Frequent Co-Authors

Mong-Song Liang
Mong-Song Liang Taiwan Semiconductor Manufacturing Company (United States)
H.-S. Philip Wong
H.-S. Philip Wong Stanford University
Lain-Jong Li
Lain-Jong Li National University of Singapore
Wen-Hao Chang
Wen-Hao Chang National Yang Ming Chiao Tung University
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Gennadi Bersuker
Gennadi Bersuker The Aerospace Corporation
Byoung Hun Lee
Byoung Hun Lee Pohang University of Science and Technology
Ya-Chin King
Ya-Chin King National Tsing Hua University
Ming Liu
Ming Liu Fudan University
Hangbing Lv
Hangbing Lv Chinese Academy of Sciences

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