Interlayer Twist Induces the Formation of Self-Doped p–n Junctions at Atomically Thin Thickness

Atomically thin 2D materials are promising candidates for extending Moore’s Law due to their exceptional geometric and electronic properties. However, the realization of ultrathin p–n junctions, as crucial components of modern electronic and optoelectronic devices, remains a significant challenge due to the limitations of traditional doping techniques used in bulk materials. Herein, we demonstrate that interlayer twisting can facilitate the formation of self-doped p–n junctions in 2D materials based on first-principles calculations combined with nonadiabatic molecular dynamics and nonequilibrium Green’s function methods. By sandwiching a polarized In2Se3 layer between graphene layers, we achieve twist-angle-dependent, abrupt p–n junctions with highly homogeneous self-doping properties. The interlayer twist effectively tunes the competitive relationship between the interface work function difference and the polarization potential, thereby controlling the direction of interfacial charge transfer. Under photoexcitation, photogenerated electrons (holes) in the In2Se3 sublayer are rapidly transferred to the n-doped (p-doped) graphene in ∼50–230 ps, facilitated by strong electron–phonon coupling and small energy level difference, which is much faster than the recombination time in the In2Se3 sublayer (∼2–4 ns). A large spontaneous photocurrent is realized without an external bias voltage in the 2D stacked devices. Our work reveals a promising twist strategy for advancing ultrathin electronic and optoelectronic nanodevices.

Authors

Institutions

Publication Details

Journal
Chemistry of Materials
Published
2025-07-19
DOI
https://doi.org/10.1021/acs.chemmater.5c00898
Citations
3
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
1.55

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interlayer Twist Induces the Formation of Self-Doped p–n Junctions at Atomically Thin Thickness

Xianghong Niu, Anqi Shi, Xinxin Wang, Xiuyun Zhang et al.
3 citations
Chemistry of Materials
Graphene research and applications
1.55
article

Interlayer Twist Induces the Formation of Self-Doped p–n Junctions at Atomically Thin Thickness

Xianghong Niu, Anqi Shi, Xinxin Wang, Xiuyun Zhang, Liqing Liu, Zifan Niu
article en
3 citations

Abstract

Atomically thin 2D materials are promising candidates for extending Moore’s Law due to their exceptional geometric and electronic properties. However, the realization of ultrathin p–n junctions, as crucial components of modern electronic and optoelectronic devices, remains a significant challenge due to the limitations of traditional doping techniques used in bulk materials. Herein, we demonstrate that interlayer twisting can facilitate the formation of self-doped p–n junctions in 2D materials based on first-principles calculations combined with nonadiabatic molecular dynamics and nonequilibrium Green’s function methods. By sandwiching a polarized In2Se3 layer between graphene layers, we achieve twist-angle-dependent, abrupt p–n junctions with highly homogeneous self-doping properties. The interlayer twist effectively tunes the competitive relationship between the interface work function difference and the polarization potential, thereby controlling the direction of interfacial charge transfer. Under photoexcitation, photogenerated electrons (holes) in the In2Se3 sublayer are rapidly transferred to the n-doped (p-doped) graphene in ∼50–230 ps, facilitated by strong electron–phonon coupling and small energy level difference, which is much faster than the recombination time in the In2Se3 sublayer (∼2–4 ns). A large spontaneous photocurrent is realized without an external bias voltage in the 2D stacked devices. Our work reveals a promising twist strategy for advancing ultrathin electronic and optoelectronic nanodevices.

Chemistry of MaterialsVol. 37(15)
Henan University of Science and Technology (CN), Nanjing University of Posts and Telecommunications (CN), Chizhou University (CN), Energy Storage Systems (United States) (US), Heinz Optical Engineering (United States) (US), Yangzhou University (CN)
National Natural Science Foundation of China, Six Talent Peaks Project in Jiangsu Province
Openalex Percentile: Top 17%
Graphene research and applications
1.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.