Scalable multiplexed machine learning gas sensor chips for food classification.

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Bibliographic Details
Title: Scalable multiplexed machine learning gas sensor chips for food classification.
Authors: Bassil C; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; Berkeley Sensor and Actuator Center, University of California, Berkeley, CA, USA., Lee K; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.; Department of Mechanical Engineering, KAIST, Daejeon 34141, Republic of Korea., Liao X; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA., Krishnan D; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA., Zhan Y; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; Berkeley Sensor and Actuator Center, University of California, Berkeley, CA, USA., Wijaya TJ; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; Berkeley Sensor and Actuator Center, University of California, Berkeley, CA, USA., Hester E; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA., Kim M; Department of Materials Science and Engineering, KAIST, Daejeon 34141, Republic of Korea., Kim ID; Department of Materials Science and Engineering, KAIST, Daejeon 34141, Republic of Korea., Park I; Department of Mechanical Engineering, KAIST, Daejeon 34141, Republic of Korea., Javey A; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; Berkeley Sensor and Actuator Center, University of California, Berkeley, CA, USA.; Kavli Energy NanoScience Institute, Berkeley, CA, USA.
Source: Science advances [Sci Adv] 2026 Jun 19; Vol. 12 (25), pp. eaec7965. Date of Electronic Publication: 2026 Jun 17.
Publication Type: Journal Article
Journal Info: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2375-2548
DOI:10.1126/sciadv.aec7965