World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
12399
World Ranking
3317
National Ranking
1231

Overview

Chung H. Lam is affiliated with IBM in the United States and conducts research primarily in the field of Engineering. Their work spans several subfields, including Electrical and Electronic Engineering, Materials Chemistry, Aerospace Engineering, Safety, Risk, Reliability and Quality, and Artificial Intelligence.

Their research focuses on topics related to Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Phase-change Materials and Chalcogenides, Radiation Effects in Electronics, Spacecraft Design and Technology, Technology Assessment and Management, and Quantum Computing Algorithms and Architecture.

The scientist has published research in several venues, with multiple papers appearing in Scientific Reports, Space Science Reviews, and IEEE Access. Recent publications include:

  • A Robust Framework for Low-Cost Cubesat Scientific Missions, 2020, Space Science Reviews
  • A SPICE Model of Phase Change Memory for Neuromorphic Circuits, 2020, IEEE Access
  • Analog Coding in Emerging Memory Systems, 2020, Scientific Reports
  • Author Correction: Analog Coding in Emerging Memory Systems, 2020, Scientific Reports

Frequent co-authors in their research collaborations include Ryan Zarcone, Jesse Engel, Sukru Burc Eryilmaz, Weier Wan, and Sang-Bum Kim, with multiple joint publications with each.

Best Publications

  • Phase Change Memory

    H P Wong;S Raoux;S Kim;J Liang

  • Phase change memory technology

    Geoffrey W. Burr;Matthew J. Breitwisch;Michele Franceschini;Davide Garetto

  • Phase-change random access memory: a scalable technology

    S. Raoux;G. W. Burr;M. J. Breitwisch;C. T. Rettner

  • Overview of candidate device technologies for storage-class memory

    G. W. Burr;B. N. Kurdi;J. C. Scott;C. H. Lam

  • Recent Progress in Phase-Change Memory Technology

    Geoffrey W. Burr;Matthew J. BrightSky;Abu Sebastian;Huai-Yu Cheng

  • Write Strategies for 2 and 4-bit Multi-Level Phase-Change Memory

    T. Nirschl;J.B. Phipp;T.D. Happ;G.W. Burr

  • Novel One-Mask Self-Heating Pillar Phase Change Memory

    T. Happ;M. Breitwisch;A. Schrott;J. Philipp

  • Ultra-Thin Phase-Change Bridge Memory Device Using GeSb

    Y. C. Chen;C. T. Rettner;S. Raoux;G. W. Burr

  • Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

    Sukru Burc Eryilmaz;Duygu Kuzum;Rakesh Gnana David Jeyasingh;SangBum Kim

  • Nanoscale electronic synapses using phase change devices

    Bryan L. Jackson;Bipin Rajendran;Gregory S. Corrado;Matthew Breitwisch

  • NVM neuromorphic core with 64k-cell (256-by-256) phase change memory synaptic array with on-chip neuron circuits for continuous in-situ learning

    S. Kim;M. Ishii;S. Lewis;T. Perri

  • Drift-Tolerant Multilevel Phase-Change Memory

    N. Papandreou;H. Pozidis;T. Mittelholzer;G. F. Close

  • Novel Lithography-Independent Pore Phase Change Memory

    M. Breitwisch;T. Nirschl;C.F. Chen;Y. Zhu

  • Programming algorithms for multilevel phase-change memory

    N. Papandreou;H. Pozidis;A. Pantazi;A. Sebastian

  • Simultaneous conditioning of a plurality of memory cells through series resistors

    Toshijaru Furukawa;Mark C. Hakey;Steven J. Holmes;David V. Horak

  • Method of making integrated circuit (IC) including at least one storage cell

    David V. Horak;Chung H. Lam;Hon-Sum P. Wong

  • A high performance phase change memory with fast switching speed and high temperature retention by engineering the Ge x Sb y Te z phase change material

    H. Y. Cheng;T. H. Hsu;S. Raoux;J.Y. Wu

  • Uniform critical dimension size pore for pcram application

    Matthew J. Breitwisch;Roger W. Cheek;Chung H. Lam;Hsiang-Lan Lung

  • Transition-metal-oxide-based resistance-change memories

    S. F. Karg;G. I. Meijer;J. G. Bednorz;C. T. Rettner

  • Self-Healing of a Confined Phase Change Memory Device with a Metallic Surfactant Layer

    Yujun Xie;W. Kim;Y. Kim;S. Kim

  • Overview of candidate device technologies for storage-class

    G. W. Burr;B. N. Kurdi;J. C. Scott;C. H. Lam

Frequent Co-Authors

Matthew J. Breitwisch
Matthew J. Breitwisch IBM (United States)
Sang-Bum Kim
Sang-Bum Kim Seoul National University
Bipin Rajendran
Bipin Rajendran King's College London
Hsiang-Lan Lung
Hsiang-Lan Lung Macronix International (Taiwan)
Simone Raoux
Simone Raoux Helmholtz-Zentrum Berlin für Materialien und Energie
H.-S. Philip Wong
H.-S. Philip Wong Stanford University
Jack A. Mandelman
Jack A. Mandelman Independent Scientist / Consultant, US
Stephen M. Rossnagel
Stephen M. Rossnagel IBM (United States)
Abu Sebastian
Abu Sebastian IBM Research - Zurich

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in expanding their expertise beyond traditional Electronics and Electrical Engineering, exploring related online degrees can open new career doors. A master's in instructional design is a great option for engineers looking to transition into education or training roles within technical fields.

Many online programs now offer what is a competency based masters degree, allowing students to advance based on their skills and knowledge rather than time spent in class. This model suits working professionals eager to accelerate their careers without compromising work obligations.

Military families often face unique challenges when pursuing higher education. Fortunately, some of the online school for military spouses provide flexible, affordable programs tailored specifically to their needs, making it easier to balance education with family commitments.

Flexibility is key in today’s educational landscape. Many students benefit from online schools with multiple start dates, which allow enrollment at various times throughout the year. This feature supports continuous learning without long waits for a traditional semester start.

Best Scientists Citing Chung H. Lam

Trending Scientists