Evidence map›Paper›PMID 42754640›Full record

ReviewNature nanotechnology2026

Two-dimensional materials for advanced back-end-of-line and wafer backside technologies.

Zhengpeng Wang, Jiechen Wang, Yue Cao, Hang-Ming Zhang, Yan Zeng, Sishuo Liu, Songqi Wang, Hehe Gong, Yuhao Zhang, Pingfan Wu and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature nanotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Zhengpeng WangCenter for Advanced Semiconductors and Integrated Circuits, University of Hong Kong, Hong Kong SAR, China.
Jiechen WangFuturewei Technologies, San Jose, CA, USA.ORCID http://orcid.org/0000-0003-2234-8297
Yue CaoFuturewei Technologies, San Jose, CA, USA.ORCID http://orcid.org/0000-0003-0487-412X
Hang-Ming ZhangCenter for Advanced Semiconductors and Integrated Circuits, University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0001-7973-2324
Yan ZengCenter for Advanced Semiconductors and Integrated Circuits, University of Hong Kong, Hong Kong SAR, China.
Sishuo LiuCenter for Advanced Semiconductors and Integrated Circuits, University of Hong Kong, Hong Kong SAR, China.
Songqi WangCenter for Advanced Semiconductors and Integrated Circuits, University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0009-0001-3771-8150
Hehe GongDepartment of Electrical and Computer Engineering, University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0002-0442-3057
Yuhao ZhangDepartment of Electrical and Computer Engineering, University of Hong Kong, Hong Kong SAR, China. yuhzhang@hku.hk.ORCID http://orcid.org/0000-0001-6350-4861
Pingfan WuFuturewei Technologies, San Jose, CA, USA. pwu2@futurewei.com.ORCID http://orcid.org/0009-0001-5646-3958
Liang PengFuturewei Technologies, San Jose, CA, USA.
Han WangCenter for Advanced Semiconductors and Integrated Circuits, University of Hong Kong, Hong Kong SAR, China. hanwang6@hku.hk.ORCID http://orcid.org/0000-0001-5121-3362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continued evolution of computing hardware beyond conventional silicon complementary metal-oxide-semiconductor scaling demands new materials and innovative architectures to increase transistor density, reduce resistance-capacitance delay, mitigate thermal challenges and improve overall energy efficiency. Two-dimensional (2D) materials, including graphene, boron nitride and transition-metal dichalcogenides, offer a promising pathway to overcome interconnect scaling limits in advanced computing hardware. Their intrinsic properties enable reduced resistivity, lower resistance-capacitance delay and improved heat dissipation, making them particularly attractive for back-end-of-line (BEOL) applications. Moreover, the emerging backside power-delivery networks (BSPDNs) open up new application opportunities for 2D-material transistors at the wafer backside. In this Review, we focus on the integration of 2D materials in BEOL interconnects, including their roles as metallic wires, barrier/liner layers and dielectric fillers. We also discuss their potential for BEOL-integrated devices such as logic transistors, static random-access memory, embedded dynamic random-access memory, non-volatile memory and selectors, as well as their emerging use in BSPDNs. Through systematic benchmarking with conventional technologies, we highlight the promising opportunities offered by 2D materials in BEOL and backside integration for advanced node chip technologies and discuss the key challenges these new technologies face towards practical industrial applications.

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.