activity
20232026
most citedAl0.68Sc0.32N/SiC based metal-ferroelectric-semiconductor capacitors operating up to 1000 °C

22 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2026

Compositional gradient engineering for enhanced ferroelectricity in ultrathin AlScN

Zekun Hu, Haiwen Zhang, Rajeev Kumar Rai +12

Ferroelectric AlScN is promising for CMOS-compatible non-volatile memory, but thickness scaling is limited by leakage, premature breakdown, and defect-mediated failure. Here we sho…

cond-mat.mtrl-sci2025

Write Cycling Endurance Exceeding 1010 in Sub-50 nm Ferroelectric AlScN

Hyunmin Cho, Yubo Wang, Chloe Leblanc +5

Wurtzite ferroelectrics, particularly aluminum scandium nitride (AlScN), have emerged as a promising materials platform for nonvolatile memories, offering high polarization values…

physics.app-ph2025

Low-voltage Ferroelectric Field-Effect Transistors with Ultrathin Aluminum Scandium Nitride and 2D channels

Chloe Leblanc, Hyunmin Cho, Yinuo Zhang +7

The continued evolution of CMOS technology demands materials and architectures that emphasize low power consumption, particularly for computations involving large scale data proces…

cond-mat.mes-hall2025★ 2 cited

Demonstration of highly scaled AlScN ferroelectric diode memory with storage density > 100 Mbit/mm

Zekun Hu, Hyunmin Cho, Rajeev Kumar Rai +13

Wurtzite nitride ferroelectric materials have emerged as promising candidates for next-generation memory applications due to their exceptional polarization properties and compatibi…

cond-mat.mtrl-sci2024★ 22 cited

Al0.68Sc0.32N/SiC based metal-ferroelectric-semiconductor capacitors operating up to 1000 °C

Yunfei He, David C. Moore, Yubo Wang +9

Ferroelectric (Fe) materials-based devices show great promise for non-volatile memory applications, yet few demonstrate reliable operation at elevated temperatures. In this work, w…

cs.ET2023

Analog Content-Addressable Memory from Complementary FeFETs

Xiwen Liu, Keshava Katti, Yunfei He +6

To address the increasing computational demands of artificial intelligence (AI) and big data, compute-in-memory (CIM) integrates memory and processing units into the same physical…

physics.app-ph2023

Scalable and Stable Ferroelectric Non-Volatile Memory at > 500 C

Dhiren K. Pradhan, David C. Moore, Gwangwoo Kim +12

Non-volatile memory (NVM) devices that reliably operate at temperatures above 300 C are currently non-existent and remains a critically unmet challenge in the development o…