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of 80
pro vyhledávání: '"Chen, Michael H"'
Autor:
Yang, Darong, Wu, Yin, Turan, Isaac, Keil, Joseph, Li, Kui, Chen, Michael H., Liu, Runhua, Wang, Lizhong, Sun, Xue-Long, Chen, Guo-Yun
Publikováno v:
In iScience 17 February 2023 26(2)
Autor:
Chu, Chi D., Chen, Michael H., McCulloch, Charles E., Powe, Neil R., Estrella, Michelle M., Shlipak, Michael G., Tuot, Delphine S.
Publikováno v:
In Kidney Medicine July-August 2021 3(4):576-585
Autor:
Chen, Michael H.
Publikováno v:
To access this resource online via ProQuest Dissertations and Theses @ UTEP.
Thesis (M.S.)--University of Texas at El Paso, 2007.
Title from title screen. Vita. CD-ROM. Includes bibliographical references. Also available online.
Title from title screen. Vita. CD-ROM. Includes bibliographical references. Also available online.
Akademický článek
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Autor:
Wang, Shuaibin, Zhang, Chao, Xu, Zhifang, Chen, Michael H., Yu, Haiyan, Wang, Lizhong, Liu, Runhua
Publikováno v:
Prostate; Jan2023, Vol. 83 Issue 1, p97-108, 12p
Autor:
Chu, Chi D, Chen, Michael H, McCulloch, Charles E, Powe, Neil R, Estrella, Michelle M, Shlipak, Michael G, Tuot, Delphine S
Publikováno v:
Kidney medicine, vol 3, iss 4
Rationale & objectivePatient awareness of disease is the first step toward effective management and disease control. Awareness of chronic kidney disease (CKD) has consistently been shown to be low, but studies estimating patient awareness of CKD have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8468aa2f04a5392c416592dd9f21157f
https://escholarship.org/uc/item/87n4h845
https://escholarship.org/uc/item/87n4h845
Autor:
Attia, Peter M, Grover, Aditya, Jin, Norman, Severson, Kristen A, Markov, Todor M, Liao, Yang-Hung, Chen, Michael H, Cheong, Bryan, Perkins, Nicholas, Yang, Zi, Herring, Patrick K, Aykol, Muratahan, Harris, Stephen J, Braatz, Richard D, Ermon, Stefano, Chueh, William C
Publikováno v:
Nature, vol 578, iss 7795
Simultaneously optimizing many design parameters in time-consuming experiments causes bottlenecks in a broad range of scientific and engineering disciplines1,2. One such example is process and control optimization for lithium-ion batteries during mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2f22483946391ea9bbac8447a9b93a64
https://escholarship.org/uc/item/117547r6
https://escholarship.org/uc/item/117547r6
Akademický článek
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Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Autor:
Severson, Kristen A, Attia, Peter M, Jin, Norman, Perkins, Nicholas, Jiang, Benben, Yang, Zi, Chen, Michael H, Aykol, Muratahan, Herring, Patrick K, Fraggedakis, Dimitrios, Bazant, Martin Z, Harris, Stephen J, Chueh, William C, Braatz, Richard D
Publikováno v:
Nature Energy, vol 4, iss 5
Severson, Kristen A; Attia, Peter M; Jin, Norman; Perkins, Nicholas; Jiang, Benben; Yang, Zi; et al.(2019). Data-driven prediction of battery cycle life before capacity degradation. Nature Energy. doi: 10.1038/s41560-019-0356-8. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/9532z8t0
Severson, Kristen A; Attia, Peter M; Jin, Norman; Perkins, Nicholas; Jiang, Benben; Yang, Zi; et al.(2019). Data-driven prediction of battery cycle life before capacity degradation. Nature Energy. doi: 10.1038/s41560-019-0356-8. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/9532z8t0
© 2019, The Author(s), under exclusive licence to Springer Nature Limited. Accurately predicting the lifetime of complex, nonlinear systems such as lithium-ion batteries is critical for accelerating technology development. However, diverse aging mec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::af1cab3abff7d985e8264081810b3cda
https://escholarship.org/uc/item/9532z8t0
https://escholarship.org/uc/item/9532z8t0