Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kaiwei Fu"'
Publikováno v:
Molecules, Vol 27, Iss 20, p 6866 (2022)
The mechanism of reaction in isobutane/2-butene alkylation systems is extremely complicated, accompanied by numerous side reactions. Therefore, a comprehensive understanding of the reaction pathways in this system is essential for an in-depth discuss
Externí odkaz:
https://doaj.org/article/9432654493214ac6ba63ea5b5019e505
Autor:
Alon Loeffler, Ruomin Zhu, Joel Hochstetter, Mike Li, Kaiwei Fu, Adrian Diaz-Alvarez, Tomonobu Nakayama, James M. Shine, Zdenka Kuncic
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Graph theory has been extensively applied to the topological mapping of complex networks, ranging from social networks to biological systems. Graph theory has increasingly been applied to neuroscience as a method to explore the fundamental structural
Externí odkaz:
https://doaj.org/article/70351e54802342728f6c392d3b40ae56
Autor:
Tomonobu Nakayama, Mike Li, James M. Shine, James K. Gimzewski, Joel Hochstetter, Alon Loeffler, Zdenka Kuncic, Kaiwei Fu, Adrian Diaz-Alvarez, Ruomin Zhu, Omid Kavehei, Adam Z. Stieg
Publikováno v:
ISCAS
Biological neural networks, unlike artificial neural networks (ANNs), can process information from data that is inherently noisy, unstructured, sparse and dynamic. How is this possible? And how can we replicate this? A crucial clue comes from neurosc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::329d52019e3ca244a48449d1852f9c2c
https://doi.org/10.1109/iscas45731.2020.9181034
https://doi.org/10.1109/iscas45731.2020.9181034
Autor:
Adrian Diaz-Alvarez, Joel Hochstetter, Zdenka Kuncic, Ruomin Zhu, Adam Z. Stieg, Alon Loeffler, Kaiwei Fu, Tomonobu Nakayama, James K. Gimzewski
Publikováno v:
IJCNN
We present simulations based on a model of self– assembled nanowire networks with memristive junctions and neural network–like topology. We analyze the dynamical voltage distribution in response to an applied bias and explain the network conducta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1d16a39eefd3509c3ca2233c8f4b9f8
https://doi.org/10.1109/ijcnn48605.2020.9207727
https://doi.org/10.1109/ijcnn48605.2020.9207727
Autor:
Joel Hochstetter, Mike Li, Ruomin Zhu, James M. Shine, Tomonobu Nakayama, Adrian Diaz-Alvarez, Zdenka Kuncic, Alon Loeffler, Kaiwei Fu
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Frontiers in Neuroscience
Frontiers in Neuroscience
Graph theory has been extensively applied to the topological mapping of complex networks, ranging from social networks to biological systems. Graph theory has increasingly been applied to neuroscience as a method to explore the fundamental structural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbaa2782d6508464d9e524bc2a8f548d
https://www.frontiersin.org/article/10.3389/fnins.2020.00184/full
https://www.frontiersin.org/article/10.3389/fnins.2020.00184/full