Ying-Chen ‘Daphne’ Chen


Ying-Chen Chen is a Ph.D. graduated from Department of Electrical and Computer Engineering (ECE), The University of Texas at Austin. She was a hardware developer at the IBM and Pathfinding Emerging Memory Engineer at Micron, working on inline functional characterization and modeling. At the University of Texas at Austin, she focuses on the topics on the next generation non-volatile memory application for storage class memory and new computing platform.

Her current research and interests emphasize on the combined experimental and modeling approach on several emerging post-CMOS solid-state devices. [1] Materials manipulation, nanostructure, electrical characterization, and physical modeling for high storage class memory; [2] composite material integrations for crossbar array applications, and flexible electronic devices with embedded sensory systems, [3] neuromorphic computing by using emerging memories for synapse-and neuron-mimic system.

Research Interests
Nanotechnology, Microelectronics, Emerging Memory, Neuromorphic Computing, Semiconductor Physics, MOSFET, 2D materials, ferroelectric, wearable flexible skin-like electronics


Representative Publications

  1. Ying-Chen Chen, Jack Lee, Chih-Yang Lin, “"Dual-functional Hybrid Selectorless RRAM and Selection Device for Memory Array Application” IEEE Transactions on Electron Device (2021)
  2. Ying-Chen Chen, Hui-Chun Huang, Chih-Yang Lin, Szu-Tung Hu, Chao-Cheng Lin and Jack C. Lee “A Novel Resistive Switching Identification Method through Relaxation Characteristics for Sneak-path-constrained Selectorless RRAM Application” Scientific Reports (Nature Publisher Group) (2019)
  3. Ying-Chen Chen, Hui-Chun Huang, Chih-Yang Lin, Szu-Tung Hu, Yao-Feng Chang and Jack C. Lee “Selectorless Resistive Switching Memory: Non-uniform Dielectric Architecture and Seasoning Effect Determination for Low Power Array Applications”, AIP Advances (2019) (Featured on Cover)
  4. Ying-Chen Chen, Szu-Tung Hu, Chih-Yang Lin, Burt Fowler, Hui-Chun Huang, Chao-Cheng Lin, Sungjun Kim, Yao-Feng Chang, and Jack C. Lee, “Graphite-based Selectorless RRAM: Improvable Intrinsic Nonlinearity for Array Applications”, Nanoscale (2018)
  5. Ying-Chen Chen, Chih-Yang Lin, Hui-Chun Huang, Sungjun Kim, Burt Fowler, Yao-Feng Chang, Xiaohan Wu, Gaobo Xu, Ting-Chang Chang, and Jack C. Lee. “Internal Filament Modulation in Low-dielectric Gap Design for Built-in Selector-less Resistive Switching Memory Application." Journal of Physics D: Applied Physics (2018).
  6. Ying-Chen Chen, Yao-Feng Chang, Xiaohan Wu, Fei Zhou, MeiqiGuo, Chih-Yang Lin, Cheng-Chih Hsieh, Burt Fowler, Ting-Chang Chang, and Jack C. Lee, “Dynamic Conductance Characteristics in HfOx-based Resistive Random-Access Memory,” RSC Advances (2017)
  7. Shixuan Yang, Ying-Chen Chen, Luke Nicolini, Praveenkumar Pasupathy, Jacob Sacks, Becky Su, Russell Yang, Daniel Sanchez, Yao-Feng Chang, Pulin Wang, David Schnyer, Dean Neikirk, Nanshu Lu, “Cut-and-Paste” Manufacture of Multiparametric Epidermal Sensor Systems (ESS),”Advanced Materials, (2015)

Recent publications

Google Scholar

  1. Ying-Chen Chen, Chao Cheng Lin, and Yao-Feng Chang, “Post-Moore Memory Technology: Sneak Path Current (SPC) Phenomena on RRAM Crossbar Array and Solutions” Micromachines (2021)
  2. Ying-Chen Chen, “Multifunctional Ruthenium Oxide for BEOL-compatible Reprogrammable One-Time-Programmable (OTP) Memory Application” 52nd IEEE Semiconductor Interface Specialists Conference (SISC) (2021)
  3.  Ying-Chen Daphne Chen, Sumant Sarkar, John Gibbs, “Self-Rectified Memristor with Bimodal Functionality and Forming Polarity Responses in Crossbar Array Applications” 79th Device Research Conference (DRC) (2021)
  4. Ying-Chen Chen, Jason K. Eshraghian, “Analog Synaptic Behaviors in Carbon-Based Self-Selective RRAM for In-Memory Supervised Learning”, IEEE 71st Electronic Components and Technology Conference (ECTC) (2021)
  5. Wei-Min Chung, Yao-Feng Chang, Yu-Lin Hsu, Ying-Chen Chen, Chao-Cheng Lin, Chang-Hsieh Lin, Jihperng Leu “A study of the relationship between endurance and retention reliability for a HfOx-based resistive switching memory” IEEE Transactions on Device and Materials Reliability (2020)
  6. Ying-Chen Chen, “Electroforming Polarity on Bilayer Self-Selective RRAM for Energy Efficient High-Density Crossbar Array Applications” 51th IEEE Semiconductor Interface Specialists Conference (SISC), Dec. 16-19 (2020)
  7. Hyojong Cho, Ji-Ho Ryu, Chandreswar Mahata, Muhammad Ismail, Ying-Chen Chen, Yao-Feng Chang, Seongjae Cho, Alexey N Mikhaylov, Jack C Lee, Sungjun Kim, “Bipolar resistive switching with unidirectional selector function in nitride/oxide heterostructures" Journal of Physics D: Applied Physics (2020)
  8. Yu-Lin Hsu, Yao-Feng Chang, Wei-Min Chung, Ying-Chen Chen, Chao-Cheng Lin, Jihperng Leu, “SiCxNy-based resistive and threshold switching by using single precursor plasma-enhanced atomic layer deposition" Applied Physics Letters (2020)
  9. Mostafa Rahimi Azghadi, Ying-Chen Chen, Jason K. Eshraghian, Jia Chen, Chih-Yang Lin, Amirali Amirsoleimani, Adnan Mehonic, Anthony J Kenyon, Burt Fowler, Jack C. Lee, Yao-Feng Chang, “CMOS and Memristive Hardware for Neuromorphic Computing" Advanced Intelligent Systems (2020)
  10. Chih-Yang Lin, Po-Hsun Chen, Ting-Chang Chang, Wei-Chen Huang, Yong-Fang Tan, Yun-Hsuan Lin, Wen-Chung Chen, Chun-Chu Lin, Yao-Feng Chang, Ying-Chen Chen, Hui-Chun Huang, Xiao-Hua Ma, Yue Hao, Simon M Sze, “A Comprehensive Study of Enhanced Characteristics with Localized Transition in Interface-type Vanadium-based Devices" Materials Today Physics (2020)
  11. Ying-Chen Chen, Chih-Yang Lin, Hyojong Cho, Sungjun Kim, Burt Fowler, and Jack C. Lee, “Current-Sweep Operation on Nonlinear Selectorless RRAM for Multilevel Cell Applications" Journal of Electronic Materials (2020)
  12. Ying-Chen Chen, Chao-Cheng Lin, Sungjun Kim, and Jack C. Lee, “Selectorless Oxide-based Resistive Switching Memory with Nonuniform Dielectric for Low Power Crossbar Array Applications” ECS Transactions (2019)

Jennifer S. Martinez Professor, Applied Physics and Materials Science Director, Center for Materials Interfaces in Research and Applications Northern Arizona University

Ying-Chen 'Daphne' Chen

Assistant Professor, School of Informations, Computing, and Cyber Systems

Contact Information

phone: (928) 523-5349

email: Ying-Chen.Chen@nau.edu

office: School of Informatics, Computing, and Cyber Systems (90), Room: 209

Google scholar

Awards and Honors

  • 2019 Princeton Pathways into the Academy program, Princeton University’s School of Engineering and Applied Science
  • 2019 Sandia National Laboratory Research Award
  • 2018 North America Taiwanese Engineer and Science Association (NATEA) Scholarship
  • 2017 Selected Rising Stars 2017 in EECS, Stanford (by-invitation-only, 60 participants selected in the US)
  • 2017-2019 Professional Development Award, UT Austin
  • 2016-2017 Graduate Dean’s Prestigious Fellowship, UT Austin
  • 2016 Best Paper Award Candidate, 2016 International Symposium on VLSI Technology, Systems and Applications (VLSI-TSA)
  • 2015-2018 Academic Competitive Award, UT Austin
  • 2015 George J. Heuer, Jr. Ph.D. Endowed Graduate Fellowship, UT Austin
  • 2016-2018 Ju-Nam and Pearl Chew Endowed Presidential Fellowship, UT Austin

Professional Experience

  • 2021-present- Affiliate Faculty Member, Center for Materials Interfaces in Research and Applications (MIRA), Northern Arizona University
  • 2020-present Tenure-Track Assistant Professor, Electrical Engineering, School of Informatic, Computing and Cyber Systems, Northern Arizona University
  • 2019-2020 R&D-Pathfinding Emerging Memory Engineer, Micron Technology, USA
    2017 Hardware Developer, IBM, USA