Hanwen Gong

Tsinghua University

Papers

1

Total Citations

9

H-Index

1

About

Hanwen Gong is a leading researcher in nonvolatile memory design, with a focus on resistive RAM (ReRAM)-based nonvolatile SRAM (nvSRAM) for embedded systems. His most cited work, "An Error-Free 64KB ReRAM-Based nvSRAM Integrated to a Microcontroller Unit Supporting Real-Time Program Storage and Restoration" (2023), demonstrates a silicon-verified nvSRAM macro that achieves fast parallel data transfer and rapid power cycling—critical for energy-efficient, instant-on computing. This contribution addresses a key challenge in the field: few nvSRAM designs have been proven in hardware, making Gong’s work a rare and impactful validation. With 9 citations to date, his research bridges the gap between nonvolatile memory theory and practical microcontroller integration, enabling real-time program storage and restoration. Gong’s achievements highlight his role in advancing error-free, high-speed memory solutions for IoT and edge devices, where low power and instant recovery are paramount. His work stands out for its direct bit-to-bit ReRAM-SRAM integration, offering a robust pathway toward next-generation, nonvolatile computing systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
An Error-Free 64KB ReRAM-Based nvSRAM Integrated to a Microcontroller Unit Supporting Real-Time Program Storage and Restoration
9 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Tsinghua University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago