journal article·2025-10-21

Transferable Highly Crystalline Perovskite Ferroelectrics for Low-Power Memory

Tianqing Wan, Yiping Xiao, Zhihang Xu, Chaoyi Zhu, Jianmin Yan, Houji Zhou, Jialiang Wang, Sijie Ma, Hongye Chen, Zhengdao Xie, Yi Li, Ye Zhu, Yuefeng Nie, Dianxiang Ji, Yang Chai

ACS Nano· Volume 19· Issue 41
Publisher page

Abstract

Data-centric applications demand low-power and compact memory solutions. Ferroelectric field-effect transistors (FeFETs) are promising candidates due to the high energy efficiency of ferroelectric switching and the elimination of selectors. However, ferroelectric materials that simultaneously demonstrate a low switching energy and compatibility with FeFET fabrication processes remain limited. In this work, we show that the transferable perovskite ferroelectric bismuth ferrite (BiFeO 3 ) with high crystal quality can be integrated with two-dimensional materials to realize low-power FeFETs. The transferred BiFeO 3 films exhibit a coercive field of 30 kV/cm and a leakage current of under 10 –5 A/cm 2 (at 1 MV/cm), resulting in a switching energy of 0.05 J/cm 3 . Leveraging the high-quality interface between transferred BiFeO 3 with molybdenum disulfide (MoS 2 ), we fabricate two types of FeFETs: a metal–ferroelectric–semiconductor (MFS) structure showing volatile memory and a metal–ferroelectric–metal–insulator–semiconductor (MFMIS) structure showing nonvolatile memory. Both device architectures exhibit low power consumption (1.5 fJ bit –1 μm –2 for MFS and 11.2 fJ bit –1 μm –2 for MFMIS). Utilizing these volatile and nonvolatile FeFETs, we constructed a low-power, compact, and all-FeFET computing system for pattern classification tasks, highlighting the potential of transferable BiFeO 3 for low-power memory and computing systems.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Ferroelectric and Piezoelectric Materials · Perovskite Materials and Applications · Ferroelectric and Negative Capacitance Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Integrated Circuits

Huazhong University of Science and Technology

National Laboratory of Solid State Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, College of Engineering and Applied Sciences

Nanjing University

Funding

Research Grants Council, University Grants Committee · Key Technologies Research and Development Program · Innovation and Technology Commission · National Natural Science Foundation of China · Hong Kong Polytechnic University · General Research Fund from the Hong Kong Research Grants Council

References (51)

Show source-provided references
1. 10.1109/TED.2020.297614810.1109/TED.2020.2976148 ↗
2. 10.1038/s41928-020-00492-710.1038/s41928-020-00492-7 ↗
3. 10.1038/nmat414810.1038/nmat4148 ↗
4. 10.1038/s41586-018-0854-z10.1038/s41586-018-0854-z ↗
5. 10.1038/s41586-020-1942-410.1038/s41586-020-1942-4 ↗
6. 10.1038/s41586-023-05759-510.1038/s41586-023-05759-5 ↗
7. 10.1038/nature1444110.1038/nature14441 ↗
8. 10.1038/s41565-021-00904-510.1038/s41565-021-00904-5 ↗
9. 10.1126/science.108061510.1126/science.1080615 ↗
10. 10.1038/s41563-022-01266-610.1038/s41563-022-01266-6 ↗
11. 10.1016/j.carbon.2017.10.00510.1016/j.carbon.2017.10.005 ↗
12. 10.1126/science.adf613710.1126/science.adf6137 ↗
13. 10.1126/science.aba006710.1126/science.aba0067 ↗
14. 10.1109/IEDM19573.2019.899350910.1109/IEDM19573.2019.8993509 ↗
15. 10.1038/s41586-019-1255-710.1038/s41586-019-1255-7 ↗
16. 10.1038/s41586-022-04588-210.1038/s41586-022-04588-2 ↗
17. 10.1038/nmat474910.1038/nmat4749 ↗
18. 10.1038/s41928-022-00753-710.1038/s41928-022-00753-7 ↗
19. 10.1088/0953-8984/26/47/47320110.1088/0953-8984/26/47/473201 ↗
20. 10.1002/adma.20100080710.1002/adma.201000807 ↗
21. 10.1038/nmat243210.1038/nmat2432 ↗
22. 10.1126/science.adi662010.1126/science.adi6620 ↗
23. 10.1038/s41586-022-04425-610.1038/s41586-022-04425-6 ↗
24. 10.1109/TED.2018.282912210.1109/TED.2018.2829122 ↗
25. 10.1063/1.35191010.1063/1.351910 ↗
26. Ishiwara, H.Current Status and Prospects of FET-Type Ferroelectric Memories 1999 57th Annual Device Research Conference Digest (Cat. No.99TH8393); IEEE, 1999. 10.1109/DRC.1999.806306.10.1109/DRC.1999.806306 ↗
27. 10.1109/LED.2015.244535210.1109/LED.2015.2445352 ↗
28. 10.1016/j.proche.2009.07.20110.1016/j.proche.2009.07.201 ↗
29. 10.1016/j.jcrysgro.2007.04.02010.1016/j.jcrysgro.2007.04.020 ↗
30. 10.1038/s41467-021-21320-210.1038/s41467-021-21320-2 ↗
31. 10.3938/jkps.67.149910.3938/jkps.67.1499 ↗
32. 10.1021/acs.nanolett.0c0505110.1021/acs.nanolett.0c05051 ↗
33. 10.1038/s41586-021-03339-z10.1038/s41586-021-03339-z ↗
34. 10.1109/LED.2002.101520710.1109/LED.2002.1015207 ↗
35. 10.1109/LED.2002.80500810.1109/LED.2002.805008 ↗
36. 10.1002/adfm.20190446510.1002/adfm.201904465 ↗
37. 10.1038/s41928-019-0256-810.1038/s41928-019-0256-8 ↗
38. Ni, K.; Grisafe, B.; Chakraborty, W.; Saha, A. K.; Dutta, S.; Jerry, M.; Smith, J. A.; Gupta, S.; Datta, S. In-Memory Computing Primitive for Sensor Data Fusion in 28 nm HKMG FeFET Technology. 2018 IEEE International Electron Devices Meeting (IEDM); IEEE, 2018. 10.1109/IEDM.2018.8614527.10.1109/IEDM.2018.8614527 ↗
39. 10.1109/IEDM19573.2019.899353510.1109/IEDM19573.2019.8993535 ↗
40. 10.1039/C8NR07135G10.1039/C8NR07135G ↗
41. 10.1109/LED.2004.82899210.1109/LED.2004.828992 ↗
42. 10.1038/s41563-023-01676-010.1038/s41563-023-01676-0 ↗
43. 10.1038/s41565-023-01399-y10.1038/s41565-023-01399-y ↗
44. Ni, K.; Smith, J. A.; Grisafe, B.; Rakshit, T.; Obradovic, B.; Kittl, J. A.; Rodder, M.; Datta, S. SoC Logic Compatible Multi-Bit FeMFET Weight Cell for Neuromorphic Applications. 2018 IEEE International Electron Devices Meeting (IEDM); IEEE, 2018. 10.1109/IEDM.2018.8614496.10.1109/IEDM.2018.8614496 ↗
45. 10.1038/s41467-024-54231-z10.1038/s41467-024-54231-z ↗
46. 10.3389/fnins.2020.0063410.3389/fnins.2020.00634 ↗
47. 10.1109/TED.2015.250472910.1109/TED.2015.2504729 ↗
48. 10.1038/s41467-023-39371-y10.1038/s41467-023-39371-y ↗
49. 10.1038/s41928-018-0023-210.1038/s41928-018-0023-2 ↗
50. 10.1038/s41586-018-0129-810.1038/s41586-018-0129-8 ↗
51. 10.1038/s41928-021-00566-010.1038/s41928-021-00566-0 ↗