Semiconductors

Fostering U.S. Computer Chip Leadership

SJSU semiconductor excellence means meeting the federal CHIPS and Science Act by driving self-sufficiency and diversity in our national computer chip workforce, specialized applied chip research, and by advancing the Silicon Valley entrepreneurial pipeline.

As a partner in the Department of Defense California-Pacific Northwest AI Hardware Hub, we characterize and model cryogenic CMOS down to 4.2K for space and quantum computer applications. Simulation data are also generated to augment machine learning model creation for semiconductor yield improvement and physics discovery in novel transistors.

Below is a rotating selection of our standout investigators in these areas.

   ○ Recent News and Highlights
   ○ Research Strength: Machine Learning
   ○ Research Strength: Quantum Technology

• Selected Publications

  • Parent, D., et al. (2021). Conducting Undergraduate Research Activities in a Remote Environment. 2021 IEEE Frontiers in Education Conference.

    Smallwood, C., et al. (2012). Tracking Cooper pairs in a cuprate superconductor by ultrafast angle-resolved photoemission. Vol 336, 6085.

    Li, H., Lomsadze, B., Moody, G., Smallwood, C., and Cundiff, S. (2023). Optical Multidimensional Coherent Spectroscopy. Oxford University Press.

    Jiao, T., Antunez, E., Wong, H. (2023). Study of Cryogenic MOSFET Sub-Threshold Swing Using Ab Initio Calculation. IEEE Electron Device Letters, 44(10).

    Wong, H. (2022). Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps. Springer.

• Award Highlights

  • Oh, Smallwood, Wolcott, Keles, “MRI Track #1 Acquisition of Tip-Enhanced Raman Spectroscopy for Research and Education at San José State University” — NSF, 2023

    Del Casino, Parent, Rosenfeld, “Project Engineering Success: Increasing Hispanic Student Success in Engineering at San José State University, San José City College & Gavilan College”  — DoE, 2022

    Lee, Oh — "Effect of Cyclic Mechanical Stress on Ionic Conduction in Composite Polymer Electrolytes for Solid-State Batteries" — NSF, 2021

    Parent, Lee, Han, Oh, "Acquisition of an Automated Multipurpose Furnace and Reactive Ion Etcher System for Microscale Fabrication Education and Research at SJSU" — DoD, 2021

    Hurst, Wong, “NRT-QL: A Program for Training a Quantum Workforce” — NSF, 2021

    Wong, "National Science Foundation, CAREER: Understanding and Modeling of Cryogenic Semiconductor Device Physics down to 4.2K — NSF, 2021

• Innovations

  • Variable Channel Doping in Vertical Transistor [pdf]
    A practical and efficient solution for enhancing the performance of power transistors.

• Affiliates

  • California-Pacific-Northwest AI Hardware Hub
    (NORTHWEST-AI HUB)

    CSU STEM-​NET

Featured Faculty

John Lee
Professor of Mechanical Engineering
Microfluidics, Mechanics of Soft Materials, Biomechanics, Energy Materials, Microfabrication Processes, Microelectromechanical Systems
ORCID: 0000-0003-4522-0560

Gita Mathur
Professor of Business 
Technological Innovation, Product Development, Project Management, Strategic Management, Team Management, Semiconductor Industry

David Parent
Professor of Electrical Engineering
Semiconductor Fabrication, Stochastic Processing, Neuromorphic Engineering, Student Success, HSI, IC design,
ORCID: 0000-0002-9396-6925

Christopher Smallwood
Assistant Professor of Physics and Astronomy
Optical Spectroscopy, Materials Science, Quantum Information, Condensed Matter Physics, Quantum Optics
ORCID: 0000-0002-4103-8748

Hiu-Yung Wong
Associate Professor of Electrical Engineering
Quantum Computing Device and Algorithm, TCAD Simulation, Semiconductor, Wide-Bandgap Device, Machine Learning, Device Physics, Neuromorphic Computing 
ORCID: 0000-0003-0135-7469

Potential collaborators and members of the media may contact us at officeofresearch@sjsu.edu.