Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Charles Yang"'
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-7 (2021)
Abstract Neural network-based generative models have been actively investigated as an inverse design method for finding novel materials in a vast design space. However, the applicability of conventional generative models is limited because they canno
Externí odkaz:
https://doaj.org/article/3abb3c18732c4ddb864b7c0fbbb2e5e1
Publikováno v:
Materials & Design, Vol 189, Iss , Pp - (2020)
Stress-strain curves are an important representation of a material's mechanical properties, from which important properties such as elastic modulus, strength, and toughness, are defined. However, generating stress-strain curves from numerical methods
Externí odkaz:
https://doaj.org/article/868da4e41f224bc9b1099d61819d0566
This volume explores the continuing relevance of Syntactic Structures to contemporary research in generative syntax. The contributions examine the ideas that changed the way that syntax is studied and that still have a lasting effect on contemporary
Autor:
Charles Yang
An investigation of how children balance rules and exceptions when they learn languages.All languages have exceptions alongside overarching rules and regularities. How does a young child tease them apart within just a few years of language acquisiti
Publikováno v:
European Journal of Operational Research. 304:832-850
This paper analyzes the optimal consumption and portfolio choice problem for an ambiguity-averse investor with recursive preferences. The investor has access to both the stock and derivatives markets. The stock price process follows a stochastic vola
Publikováno v:
Journal of Risk and Insurance. 90:185-212
Medicare Advantage, Medical Loss Ratio, Service Efficiency, and Efficiently Positive Health Outcomes
Publikováno v:
North American Actuarial Journal. :1-15
Autor:
Pengyu Wei, Charles Yang
Publikováno v:
Review of Quantitative Finance and Accounting.
Autor:
Jan-Peter Hauschild, Amelia Peterson, Erik Couzijn, Eduard Denisov, Denis Chernyshev, Christian Hock, Hamish Stewart, Ralf Hartmer, Dmitry Grinfeld, Christian Thoeing, Bastian Reitemeier, Arne Kreutzmann, Oliver Lange, Wilko Balschun, Aivaras Venckus, Sebastian Kanngiesser, Alexander Kholomeev, Gregor Quiring, Frank Czemper, Eloy Wouters, Michael Belford, Mathias Mueller, Jens Grote, Tabiwang N Arrey, Julia Kraegenbring, Kerstin Strupat, Markus Kellmann, Siegrun Mohring, Catharina Crone, Alexander Harder, Aaron M. Robitaille, Khatereh Motamedchaboki, Yang Liu, Aaron S. Gajadhar, Daniel Lopez Ferrer, Eugen Damoc, Angela Criscuolo, Kristina Srzentic, Ed George, Charles Yang, Ioanna Ntai, Amanda Souza, Andreas Wieghaus, Alexander Makarov
The rapidly increasing adoption of high-resolution accurate-mass methods in analytical laboratories has fueled demand for instruments that combine high performance and reliability with small size and greater ease-of-use. This paper presents the major
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::e81a54ac1731d5af021a9541096c15fb
https://zenodo.org/record/7602153
https://zenodo.org/record/7602153
Autor:
Trevon Badloe, Yijun Bao, Keith A. Brown, Qian Chen, Hongrui Cheng, Liu Chen-Xu, Frank Cichos, Zhengyang Duan, Zheyu Fang, Paul S. Francis, Sheng Gao, Yi Gao, Yiyang Gong, Aldair E. Gongora, Grace X. Gu, Yu Gui-Lan, Che-Lun Hung, Santiago Muiños Landin, Chihun Lee, Fushan Li, Yu Li, Xing Lin, Zhengchang Liu, Cuicui Lu, Yongfeng Lu, G. Milano, Jaebum Noh, Ravi Pradip, Junsuk Rho, C. Ricciardi, Verda Saygin, Kelsey L. Snapp, Sunae So, Zhongwei Xu, Charles Yang, Lehan Yao, Hongyi Yuan, Jooyeong Yun, Nianen Zhang, Zhizhou Zhang, Yuanhui Zheng
Publikováno v:
Intelligent Nanotechnology ISBN: 9780323857963
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f930ecde196567af2a252d826c63bd5f
https://doi.org/10.1016/b978-0-323-85796-3.09993-5
https://doi.org/10.1016/b978-0-323-85796-3.09993-5