Ultralow energy adaptive neuromorphic computing using reconfigurable zinc phosphorus trisulfide memristors.
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| Title: | Ultralow energy adaptive neuromorphic computing using reconfigurable zinc phosphorus trisulfide memristors. |
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| Authors: | Ji Y; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore., Wang L; School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China., Long Y; School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China., Wang J; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore., Zheng H; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore., Yu ZG; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore., Zhang YW; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore. zhangyw@ihpc.a-star.edu.sg., Ang KW; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore. eleakw@nus.edu.sg. |
| Source: | Nature communications [Nat Commun] 2025 Jul 26; Vol. 16 (1), pp. 6899. Date of Electronic Publication: 2025 Jul 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-025-62306-8 |
