Zobrazeno 1 - 10
of 158
pro vyhledávání: '"CHUANYI JI"'
Autor:
Miguel O Román, Eleanor C Stokes, Ranjay Shrestha, Zhuosen Wang, Lori Schultz, Edil A Sepúlveda Carlo, Qingsong Sun, Jordan Bell, Andrew Molthan, Virginia Kalb, Chuanyi Ji, Karen C Seto, Shanna N McClain, Markus Enenkel
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0218883 (2019)
A real-time understanding of the distribution and duration of power outages after a major disaster is a precursor to minimizing their harmful consequences. Here, we develop an approach for using daily satellite nighttime lights data to create spatial
Externí odkaz:
https://doaj.org/article/b6d4dd36039445f7b78836e54b84433a
Autor:
Sheng Ma, Chuanyi Ji
Publikováno v:
Computer Science Journal of Moldova, Vol 12, Iss 2(35), Pp 275-323 (2004)
This work discovers that although network traffic has the complicated short- and long-range temporal dependence, the corresponding wavelet coefficients are no longer long-range dependent. Therefore, a "short-range" dependent process can be used to mo
Externí odkaz:
https://doaj.org/article/07abd3920c624fcdab27cee57d357d7b
Publikováno v:
CounterPunch; Feb2024, p1-4, 4p
Publikováno v:
The Journal of chemical physics. 157(24)
Diffusion is a key kinetic factor determining chemical mixing and phase formation in liquids. In multicomponent systems, the presence of different elements makes it experimentally challenging to measure diffusivities and understand their mechanisms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a644883f9f60824ab6408da47679300e
https://pubmed.ncbi.nlm.nih.gov/36586993
https://pubmed.ncbi.nlm.nih.gov/36586993
Publikováno v:
Joule. 5:2504-2520
Summary Massive power failures are induced frequently by natural disasters. A fundamental challenge is how recovery can be resilient to the increasing severity of disruptions in a changing climate. We conduct a large-scale study on recovery from 169
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1d4cf6559b6c085221049a25cf2d77f
https://doi.org/10.1016/j.joule.2021.07.006
https://doi.org/10.1016/j.joule.2021.07.006
Autor:
Zhirong Zhang, Chuanyi Jia, Peiyu Ma, Chen Feng, Jin Yang, Junming Huang, Jiana Zheng, Ming Zuo, Mingkai Liu, Shiming Zhou, Jie Zeng
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Developing efficient and economical electrocatalysts for acidic oxygen evolution reaction (OER) is essential for proton exchange membrane water electrolyzers (PEMWE). Cobalt oxides are considered promising non-precious OER catalysts due to t
Externí odkaz:
https://doaj.org/article/6c99705202d541769e6f3efa66867d01
Publikováno v:
Bao, C, Ji, C, Poulsen, H F & Li, M 2019, ' Missing information and data fidelity in digital microstructure acquisition ', Acta Materialia, vol. 173, pp. 262-269 . https://doi.org/10.1016/j.actamat.2019.05.012
Measuring and modeling microstructure is crucial for establishing structure-property relations. Here the digitized format of the microstructure plays an increasingly vital role in modern material design and advanced manufacturing of functional materi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5a396c0980bc3ca3db6e071f66b882c
https://orbit.dtu.dk/en/publications/1b05788d-8aa4-400d-84f8-e079ba73b9b6
https://orbit.dtu.dk/en/publications/1b05788d-8aa4-400d-84f8-e079ba73b9b6
Autor:
Karen C. Seto, Edil A. Sepúlveda Carlo, Andrew Molthan, Miguel O. Román, Qingsong Sun, Jordan R. Bell, Eleanor C. Stokes, Ranjay Shrestha, Markus Enenkel, Shanna N. McClain, Lori Schultz, Chuanyi Ji, Virginia L. Kalb, Zhuosen Wang
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0218883 (2019)
PLoS ONE
PLoS ONE
A real-time understanding of the distribution and duration of power outages after a major disaster is a precursor to minimizing their harmful consequences. Here, we develop an approach for using daily satellite nighttime lights data to create spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f908d11e87afb545975fb2389f229737
https://doaj.org/article/b6d4dd36039445f7b78836e54b84433a
https://doaj.org/article/b6d4dd36039445f7b78836e54b84433a
Publikováno v:
Applied Mathematics. :233-249
A key objective of the smart grid is to improve reliability of utility services to end users. This requires strengthening resilience of distribution networks that lie at the edge of the grid. However, distribution networks are exposed to external dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21d18f72f4dc1bbf488186399aee2544
https://doi.org/10.4236/am.2016.73022
https://doi.org/10.4236/am.2016.73022
Publikováno v:
2018 IEEE/MTT-S International Microwave Symposium - IMS.
This paper describes a method to model the nonlinear time-domain steady-state behavior of voltage-controlled oscillators (VCOs) using augmented neural networks. In the proposed method, a feed forward neural network (FFNN) with a periodic unit is used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc7c6df9cc22039898ca7ef472592184
https://doi.org/10.1109/mwsym.2018.8439324
https://doi.org/10.1109/mwsym.2018.8439324