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In this work, a quasi\u2010periodic porous structure\u2010based T\u2010P DMES was proposed, exhibiting excellent performance in material cognition. The quasi\u2010periodic porous structure of the electronic skin was prepared through the interaction of confined two\u2010dimensional bubbles and polydimethylsiloxane (PDMS). After attaching graphene, PEDOT: PSS, and Bi\n                    <jats:sub>2<\/jats:sub>\n                    Te\n                    <jats:sub>3<\/jats:sub>\n                    to the porous PDMS, the obtained electronic skin can precisely detect and distinguish T\u2010P stimuli without crosstalk. Benefiting from the quasi\u2010periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure, which is impossible for electronic skin with a random porous structure. By analyzing the thermoelectric and piezoresistive signals of the electronic skin and combining them with a convolutional neural network, the electronic skin can identify 33 different materials, including materials with similar softness or thermal conductivity, cotton fabrics with different textures, and even diverse alloys, with an accuracy of 97.64%. The proposed T\u2010P DMES significantly outperforms both existing electronic skins and human skin in terms of material cognition.\n                  <\/jats:p>","DOI":"10.1002\/advs.202512714","type":"journal-article","created":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T05:18:46Z","timestamp":1767590326000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Quasi\u2010Periodic Porous Structures\u2010Based Temperature and Pressure Dual\u2010Mode Electronic Skin for Material Cognition"],"prefix":"10.1002","volume":"13","author":[{"given":"Xiaoguang","family":"Gao","sequence":"first","affiliation":[{"name":"Institute of Biomedical Precision Testing and Instrumentation College of Artificial Intelligence Taiyuan University of Technology Taiyuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengzhen","family":"Xue","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Precision Testing and Instrumentation College of Artificial Intelligence Taiyuan University of Technology Taiyuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoliang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Precision Testing and Instrumentation College of Artificial Intelligence Taiyuan University of Technology Taiyuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuejuan","family":"Meng","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Precision Testing and Instrumentation College of Artificial Intelligence Taiyuan University of Technology Taiyuan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaochun","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Precision Testing and Instrumentation College of Artificial Intelligence Taiyuan University of Technology Taiyuan 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