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However, they still face challenges in trade\u2010offs among high recognition accuracy, compact size, and low power consumption. Existing strategies can rely on large\u2010scale sensor arrays (up to 10\n                    <jats:sup>4<\/jats:sup>\n                    elements) to enhance gas recognition accuracy, but this substantially increases system size and power consumption. Inspired by biological multisensory synergy, we propose a visual\u2013olfactory bimodal neuromorphic device to overcome these limitations. It emulates biological perceptual fusion, including bimodal perceptual weighting and enhancement. With a small active area of 148\u00a0\u00b5m\n                    <jats:sup>2<\/jats:sup>\n                    , a static power consumption of only 3.4\u00a0\u00b5W, and a low operating voltage of 1\u00a0V, the device exhibits ppb\u2010level sensing performance and is capable of both classifying gas types and identifying concentrations for multiple target gases. The proposed bimodal perception strategy achieves a gas classification accuracy of 98.27%, far exceeding that of the olfactory unimodal mode (52.24%), and, importantly, enables precise discrimination of mixed gases with highly overlapping sensing signatures. Our strategy not only provides a unit architecture for constructing miniaturized, low\u2010power, and highly accurate artificial olfactory systems but also paves the way for next\u2010generation bio\u2010inspired multimodal neuromorphic sensing.\n                  <\/jats:p>","DOI":"10.1002\/adma.74191","type":"journal-article","created":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T09:24:43Z","timestamp":1784712283000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Boosting Artificial Olfaction: Visual Cues\u2010Enhanced Gas Classification by a Bimodal Neuromorphic Device"],"prefix":"10.1002","volume":"38","author":[{"given":"Chunlu","family":"Chang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Luminescence Science and Technology, Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences  Changchun P. R. 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China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaru","family":"Shi","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Luminescence Science and Technology, Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences  Changchun P. R. China"},{"name":"University of Chinese Academy of Sciences  Beijing P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingxiu","family":"Liu","sequence":"additional","affiliation":[{"name":"Shenyang National Laboratory for Materials Science, Institute of Metal Research Chinese Academy of Sciences  Shenyang P. R. China"},{"name":"School of Materials Science and Engineering University of Science and Technology of China  Shenyang P. R. 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