Interpretable Machine Learning for Evaluating Nanogenerators' Structural Design.
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| Title: | Interpretable Machine Learning for Evaluating Nanogenerators' Structural Design. |
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| Authors: | Han C; Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States., Jin M; Department of Computer Science, Rutgers University, Piscataway, New Jersey 08854, United States., Dong F; Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States., Xu P; Department of Electrical and Computer Engineering, Rutgers University, Piscataway, New Jersey 08854, United States., Jiang X; Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States., Cai ST; Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States.; Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States., Jiang Y; Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States., Zhang Y; Department of Computer Science, Rutgers University, Piscataway, New Jersey 08854, United States., Fang Y; School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Singapore., Niu S; Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States. |
| Source: | ACS nano [ACS Nano] 2025 Apr 15; Vol. 19 (14), pp. 14456-14466. Date of Electronic Publication: 2025 Apr 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 101313589 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1936-086X (Electronic) Linking ISSN: 19360851 NLM ISO Abbreviation: ACS Nano Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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