journal article·2026-04Open access

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon

Advanced Functional Materials· Volume 36· Issue 27

Abstract

Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum. Central to this capability are IR photodetectors (PDs) based on 2D materials (2DMs), which offer tunable spectral responsivity and wavelength‐resolved multiparameter optical information. This review examines the fundamental mechanisms and design strategies that enable spectral tunability at the frontier of 2DM‐based IR PDs, elucidating how they offer unique opportunities to tailor spectral responses across a broad wavelength range through symmetry‐breaking induced by geometric (geometrically tunable spectral engineering) and electric‐field (electrically tunable spectral engineering) effects. These approaches collectively enable simultaneous optimization of spectral tunability and sensitivity without compromising wavelength coverage, speed, power efficiency, or scalability, while also providing polarization sensitivity, multiband detection, and self‐powered operation for edge‐integrated AI platforms, including computational spectroscopy, artificial vision, computing, and communications. This review outlines the key processes and integration requirements for scalable manufacturing, which are essential for establishing spectrally tunable 2DM‐based IR PDs as core building blocks of intelligent optoelectronics. Ultimately, the development of spectrally tunable 2DM‐based IR PDs will transform intelligent optoelectronic platforms for or with AI.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: 2D Materials and Applications · Ga2O3 and related materials · Thermal Radiation and Cooling Technologies

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

Affiliations

Department of Semiconductor Engineering Department of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology Gwangju 61005 Republic of Korea

School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing 100081 China

VTT Technical Research Centre of Finland Tietotie 3 Espoo 02150 Finland

Digital Biomedical Research Division Electronics and Telecommunications Research Institute Daejeon 34129 Republic of Korea

QTF Centre of Excellence Department of Electronics and Nanoengineering Aalto University Espoo 02150 Finland

School of Electrical and Electronic Engineering School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore

School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon 34141 Republic of Korea

GIST InnoCORE AI‐Nano Convergence Institute for Early Detection of Neurodegenerative Diseases Gwangju Institute of Science and Technology Gwangju 61005 Republic of Korea

School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China

Cambridge Graphene Centre University of Cambridge Cambridge CB3 0FA UK

Advanced Research Institute of Multidisciplinary Sciences Beijing Institute of Technology Beijing 100081 China

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China · Electronics and Telecommunications Research Institute · Gwangju Institute of Science and Technology

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