Vasconcelos Thiago L, Vladimirov Simeon N, Pucher Thomas, Puebla Sergio, Munuera Carmen, Hernández Eduardo R, Castellanos-Gomez Andres
2D Foundry Research Group, Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC), Madrid E-28049, Spain.
Materials Metrology Division, Instituto Nacional de Metrologia Qualidade e Tecnologia (INMETRO), Duque de Caxias, Rio de Janeiro 25250-020, Brazil.
Nano Lett. 2025 Jul 23;25(29):11333-11339. doi: 10.1021/acs.nanolett.5c02470. Epub 2025 Jul 12.
We present adaptive, strain-engineered photodetectors based on 2D semiconductors. Our devices present a footprint of only about 40 × 20 μm, and they are fabricated on transparent polypropylene substrates and integrate lithographically designed microheaters that induce controllable biaxial strain via thermal actuation, thus leading to a red shift in their spectral response. This strain-induced tunability is combined with a machine learning-based spectral reconstruction approach, where a neural network is trained on an extensive data set of synthetic spectra and corresponding photocurrents generated from measured device responsivities under varying strain conditions. Although the system demonstrates spectral reconstruction over a relatively narrow range, it provides a compelling proof-of-concept for a miniaturized adaptive spectrometer.
我们展示了基于二维半导体的自适应、应变工程光探测器。我们的器件占地面积仅约40×20μm,它们被制造在透明聚丙烯基板上,并集成了光刻设计的微加热器,该微加热器通过热驱动诱导可控的双轴应变,从而导致其光谱响应发生红移。这种应变诱导的可调性与基于机器学习的光谱重建方法相结合,其中神经网络在大量合成光谱和在不同应变条件下从测量的器件响应率生成的相应光电流数据集上进行训练。尽管该系统在相对较窄的范围内展示了光谱重建,但它为小型化自适应光谱仪提供了令人信服的概念验证。