Rubin, N. A. et al. Matrix Fourier optics enables a compact full-Stokes polarization camera. Science 364, eaax1839 (2019).
Dai, M. et al. On-chip mid-infrared photothermoelectric detectors for full-Stokes detection. Nat. Commun. 13, 4560 (2022).
Fan, Y. et al. Dispersion-assisted high-dimensional photodetector. Nature 630, 77–83 (2024).
Wang, Z., Wan, T., Ma, S. & Chai, Y. Multidimensional vision sensors for information processing. Nat. Nanotechnol. 19, 919–930 (2024).
Wang, C., Cheng, Y., Xu, Z., Dai, Q. & Fang, L. Diffractive tensorized unit for million-TOPS general-purpose computing. Nat. Photon. 19, 1078–1087 (2025).
Lin, X. et al. All-optical machine learning using diffractive deep neural networks. Science 361, 1004–1008 (2018).
Wetzstein, G. et al. Inference in artificial intelligence with deep optics and photonics. Nature 588, 39–47 (2020).
Xu, Z. et al. Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence. Science 384, 202–209 (2024).
Fang, W. et al. Bioinspired single-shot polarization photodetector based on four-directional grating arrays capped perovskite single-crystal thin film. Sci. Adv. 10, eadr5375 (2024).
Xin, K. et al. Low-dimensional low-symmetric semiconductors for polarization-sensitive photodetection. Nat. Rev. Electr. Eng. 2, 480–493 (2025).
McMahon, P. L. The physics of optical computing. Nat. Rev. Phys. 5, 717–734 (2023).
Farmakidis, N., Dong, B. & Bhaskaran, H. Integrated photonic neuromorphic computing: opportunities and challenges. Nat. Rev. Electr. Eng. 1, 358–373 (2024).
Yuan, H. et al. Polarization-sensitive broadband photodetector using a black phosphorus vertical p–n junction. Nat. Nanotechnol. 10, 707–713 (2015).
Wu, S. et al. Ultra-sensitive polarization-resolved black phosphorus homojunction photodetector defined by ferroelectric domains. Nat. Commun. 13, 3198 (2022).
Tong, L. et al. Stable mid-infrared polarization imaging based on quasi-2D tellurium at room temperature. Nat. Commun. 11, 2308 (2020).
Bullock, J. et al. Polarization-resolved black phosphorus/molybdenum disulfide mid-wave infrared photodiodes with high detectivity at room temperature. Nat. Photon. 12, 601–607 (2018).
Li, D. et al. In-sublattice carrier transition enabled polarimetric photodetectors with reconfigurable polarity transition. Adv. Mater. 36, 2407010 (2024).
Wang, F. et al. Multidimensional detection enabled by twisted black arsenic–phosphorus homojunctions. Nat. Nanotechnol. 19, 455–462 (2024).
Zhang, S. et al. Multi-dimensional optical information acquisition based on a misaligned unipolar barrier photodetector. Nat. Commun. 15, 7071 (2024).
Peng, R. et al. Programmable graded doping for reconfigurable molybdenum ditelluride devices. Nat. Electron. 6, 852–861 (2023).
Li, T. et al. Reconfigurable, non-volatile neuromorphic photovoltaics. Nat. Nanotechnol. 18, 1303–1310 (2023).
Lynch, J. et al. Gate-tunable optical anisotropy in wafer-scale, aligned carbon nanotube films. Nat. Photon. 18, 1176–1184 (2024).
Wang, F. et al. Next-generation photodetectors beyond van der Waals junctions. Adv. Mater. 36, 2301197 (2024).
Xing, R. et al. Coupling strategies of multi-physical fields in 2D materials-based photodetectors. Adv. Mater. 37, 2501833 (2025).
Zhou, F. & Chai, Y. Near-sensor and in-sensor computing. Nat. Electron. 3, 664–671 (2020).
Liao, F. et al. Bioinspired in-sensor visual adaptation for accurate perception. Nat. Electron. 5, 84–91 (2022).
Wu, G. et al. Ferroelectric-defined reconfigurable homojunctions for in-memory sensing and computing. Nat. Mater. 22, 1499–1506 (2023).
Long, Z. et al. Biomimetic optoelectronics with nanomaterials for artificial vision. Nat. Rev. Mater. 10, 128–146 (2025).
Lee, M. et al. Wafer-scale δ waveguides for integrated two-dimensional photonics. Science 381, 648–653 (2023).
Meng, Y. et al. Photonic van der Waals integration from 2D materials to 3D nanomembranes. Nat. Rev. Mater. 8, 498–517 (2023).
Li, J. et al. Towards the scalable synthesis of two-dimensional heterostructures and superlattices beyond exfoliation and restacking. Nat. Mater. 23, 1326–1338 (2024).
Park, J. Y. et al. Double-sided van der Waals epitaxy of topological insulators across an atomically thin membrane. Nat. Mater. 24, 399–405 (2025).
Kim, C. et al. Atomic layer deposition route to scalable, electronic-grade van der Waals Te thin films. ACS Nano 17, 15776–15786 (2023).
Wang, J. et al. Polarized light-emitting diodes based on anisotropic excitons in few-layer ReS2. Adv. Mater. 32, 2001890 (2020).
Wang, Y. et al. Field-effect transistors made from solution-grown two-dimensional tellurene. Nat. Electron. 1, 228–236 (2018).
Wang, S. A. et al. Atomic-scale studies of overlapping grain boundaries between parallel and quasi- parallel grains in low-symmetry monolayer ReS2. Matter 3, 2108–2123 (2020).
Jiang, J. et al. Chirality-transferred epitaxy of circular polarization-sensitive ReS2 monolayer single crystals. Nat. Commun. 16, 7119 (2025).
Zhao, C. et al. Evaporated tellurium thin films for p-type field-effect transistors and circuits. Nat. Nanotechnol. 15, 53–58 (2020).
Liu, E. et al. Integrated digital inverters based on two-dimensional anisotropic ReS2 field-effect transistors. Nat. Commun. 6, 6991 (2015).
Liu, Y. et al. Cryogenic in-memory computing using magnetic topological insulators. Nat. Mater. 24, 559–564 (2025).
Wang, R. et al. Controllable inverse photoconductance in semiconducting nanowire films. Adv. Mater. 34, 2204698 (2022).
Nguyen, D. A. et al. Tunable negative photoconductivity in encapsulated ambipolar tellurene for functional optoelectronic device applications. Nano Energy 113, 108552 (2023).
Chen, J. et al. Optoelectronic graded neurons for bioinspired in-sensor motion perception. Nat. Nanotechnol. 18, 882–888 (2023).
Huang, H. et al. Fully integrated multi-mode optoelectronic memristor array for diversified in-sensor computing. Nat. Nanotechnol. 20, 93–103 (2025).
Han, J. et al. Mid-infrared bipolar and unipolar linear polarization detections in Nb2GeTe4/MoS2 heterostructures. Adv. Mater. 35, 2305594 (2023).
Dong, M. et al. All-in-one 2D molecular crystal optoelectronic synapse for polarization-sensitive neuromorphic visual system. Adv. Mater. 36, 2409550 (2024).
Jin, H. J., Park, C., Lee, K. J., Kang, M. & Choi, S. Y. Ferroelectrically enhanced polarization-sensitive AuNPs-deposited α-In2Se3/PdSe2 photodetector with ultrahigh photoresponsivity and detectivity. Nano Lett. 25, 5731–5740 (2025).
Yang, Y. et al. Multi-dimensional visual information processing under complex light environments using time-evolved polarization-sensitive synaptic electronics. Nat. Commun. 16, 5665 (2025).
He, K., Zhang, X., Ren, S. & Sun, J. Deep residual learning for image recognition. In Proc. IEEE Conference on Computer Vision and Pattern Recognition 770–778 (IEEE, 2016).
Cheng, Y., Yang, Y., Chen, H. B., Wong, N. & Yu, H. S3-Net: a fast scene understanding network by single-shot segmentation for autonomous driving. ACM Trans. Embed. Comput. Syst. 12, 58 (2021).
Cheng, Y. et al. Photonic neuromorphic architecture for tens-of-task lifelong learning. Light Sci. Appl. 13, 56 (2024).
Li, N., Zhao, Y., Pan, Q., Kong, S. G. & Chan, J. C.-W. Full-time monocular road detection using zero-distribution prior of angle of polarization. In Computer Vision – ECCV 2020 (eds Vedaldi, A. et al.) 457–473 (Springer, 2020).
Tukimin, S. N., Karman, S. B., Ahmad, M. Y. & Wan Kamarul Zaman, W. S. Polarized light-based cancer cell detection techniques: a review. IEEE Sens. J. 19, 9010–9025 (2019).
Song, Y. et al. Polarization imaging method for detection of lung cancer based on symmetrical single LCVR. J. Biophotonics 18, e202400470 (2025).
Chang, A. X. et al. ShapeNet: an information-rich 3D model repository. Preprint at https://arxiv.org/abs/1512.03012 (2015).
Geiger, A., Lenz, P., Stiller, C. & Urtasun, R. Vision meets robotics: the KITTI dataset. Int. J. Robot. Res. 32, 1231–1237 (2013).
Kingma, D. P. & Ba, J. Adam: a method for stochastic optimization. Preprint at https://arxiv.org/abs/1412.6980 (2014).
Zhu, W. et al. Source data for “Self-reconfigurable polarization perception in dual-anisotropy heterostructures for high-dimensional in-sensor computing”. figshare https://doi.org/10.6084/m9.figshare.30053362 (2026).
Zhu, W. et al. Data and code. Dryad https://doi.org/10.5061/dryad.1vhhmgr87 (2026).