Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jueyi, Liu"'
Autor:
Haitao D. Deng, Hongbo Zhao, Norman Jin, Lauren Hughes, Benjamin H. Savitzky, Colin Ophus, Dimitrios Fraggedakis, András Borbély, Young-Sang Yu, Eder G. Lomeli, Rui Yan, Jueyi Liu, David A. Shapiro, Wei Cai, Martin Z. Bazant, Andrew M. Minor, William C. Chueh
Publikováno v:
Nature Materials. 21:547-554
Constitutive laws underlie most physical processes in nature. However, learning such equations in heterogeneous solids (e.g., due to phase separation) is challenging. One such relationship is between composition and eigenstrain, which governs the che
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::959d24cd4920ccc8bf041b75f9db54e8
https://doi.org/10.1038/s41563-021-01191-0
https://doi.org/10.1038/s41563-021-01191-0
Publikováno v:
Artificial Intelligence for the Earth Systems. 1
Resampling methods such as cross validation or bootstrap are often employed to estimate the uncertainty in a loss function due to sampling variability, usually for the purpose of model selection. In models that require nonlinear optimization, however
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::712369ad3d72483508cf10032061688b
https://doi.org/10.1175/aies-d-21-0004.1
https://doi.org/10.1175/aies-d-21-0004.1
Autor:
Haitao D, Deng, Hongbo, Zhao, Norman, Jin, Lauren, Hughes, Benjamin H, Savitzky, Colin, Ophus, Dimitrios, Fraggedakis, András, Borbély, Young-Sang, Yu, Eder G, Lomeli, Rui, Yan, Jueyi, Liu, David A, Shapiro, Wei, Cai, Martin Z, Bazant, Andrew M, Minor, William C, Chueh
Publikováno v:
Nature materials. 21(5)
Constitutive laws underlie most physical processes in nature. However, learning such equations in heterogeneous solids (for example, due to phase separation) is challenging. One such relationship is between composition and eigenstrain, which governs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6b4d946bbd1821e12671c61a2ebcbd5a
https://pubmed.ncbi.nlm.nih.gov/35177785
https://pubmed.ncbi.nlm.nih.gov/35177785
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030653507
COMPLEX NETWORKS (2)
COMPLEX NETWORKS (2)
This study evaluates (1) the properties of a hierarchical network of personnel flow in a large and multilayered Chinese bureaucracy, in light of selected classical network models, and (2) the robustness of the hierarchical network with regard to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15971bd0b7a515c3c468745017e70ddc
https://doi.org/10.1007/978-3-030-65351-4_38
https://doi.org/10.1007/978-3-030-65351-4_38
Autor:
Simone Raudino, Patricia Sohn
This volume offers a nuanced picture with specific instances of religion and politics in Muslim, Jewish, Christian, Buddhist, and Hindu contexts, broadly presenting the phenomenon of religion and politics via country and thematic case studies. Qualit
Autor:
Rosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed p
Autor:
Xisha MA, Huiying MENG
Popular Religion and Shamanism addresses two areas of religion within Chinese society; the lay teachings that Chinese scholars term folk or “popular” religion, and shamanism. Each area represents a distinct tradition of scholarship, and the book