Zobrazeno 1 - 10
of 3 909
pro vyhledávání: '"Scott, P. H."'
Autor:
Khan, Danish, Benali, Anouar, Kim, Scott Y. H., von Rudorff, Guido Falk, von Lilienfeld, O. Anatole
The Vector-QM24 (VQM24) dataset attempts to more comprehensively cover all possible neutral closed shell small organic and inorganic molecules and their conformers at state of the art level of theory. We have used density functional theory ($\omega$B
Externí odkaz:
http://arxiv.org/abs/2405.05961
Autor:
Barlow, Duncan, Colaïtis, A., Viala, D., Rosenberg, M. J., Igumenshchev, I., Goncharov, V., Ceurvorst, L., Radha, P. B., Theobald, W., Craxton, R. S., Streeter, M. J. V., Chapman, T., Mathiaud, J., Scott, R. H. H., Glize, K.
A new, efficient, algorithmic approach to create illumination configurations for laser driven high energy density physics experiments is proposed. The method is applied to a polar direct drive solid target experiment at the National Ignition Facility
Externí odkaz:
http://arxiv.org/abs/2311.18342
Autor:
Zalloum, Intesar O., Sojahrood, Amin Jafari, Paknahad, Ali A., Kolios, Michael C., Tsai, Scott S. H., Karshafian, Raffi
The acoustic response of microbubbles (MBs) depends on their resonance frequency, which is dependent on MB size and shell properties. Monodisperse MBs with tunable shell properties are thus desirable for optimizing and controlling MB behavior in acou
Externí odkaz:
http://arxiv.org/abs/2307.13836
Recent research in Internet of things has been widely applied for industrial practices, fostering the exponential growth of data and connected devices. Henceforth, data-driven AI models would be accessed by different parties through certain data-shar
Externí odkaz:
http://arxiv.org/abs/2206.12790
With the improvement of AI chips (e.g., GPU, TPU, and NPU) and the fast development of the Internet of Things (IoT), some robust deep neural networks (DNNs) are usually composed of millions or even hundreds of millions of parameters. Such a large mod
Externí odkaz:
http://arxiv.org/abs/2206.12788
Autor:
Bonnie Sheehey, Doralyn Rossmann, Hannah Scates Kettler, Jason Clark, Natalie Bond, Sara Mannheimer, Scott W. H. Young, Yasmeen Shorish
Publikováno v:
Journal of eScience Librarianship, Vol 13, Iss 1 (2024)
Librarians and archivists are often early adopters and experimenters with new technologies. Our field is also interested in critically engaging with technology, and we are well-positioned to be leaders in the slow and careful consideration of new tec
Externí odkaz:
https://doaj.org/article/ceb37ed3507849bfa6a76b78017286ca
Deception detection is an important task that has been a hot research topic due to its potential applications. It can be applied in many areas, from national security (e.g., airport security, jurisprudence, and law enforcement) to real-life applicati
Externí odkaz:
http://arxiv.org/abs/2104.08373
Autor:
Rickaby, S. R., Scott, N. H.
Publikováno v:
International Journal of Non-Linear Mechanics. (2015) vol. { 68}, 71--86
In this paper we describe various limited-stretch models of nonlinear rubber elasticity, each dependent on only the first invariant of the left Cauchy-Green strain tensor and having only two independent material constants. The models are described as
Externí odkaz:
http://arxiv.org/abs/2005.09648
Autor:
Rickaby, Stephen R., Scott, Nigel H.
Publikováno v:
IMA J. Appl. Math. (2014) vol. 79, 1107-1125
In this paper we derive a model to describe the important inelastic features associated with the cyclic softening, often referred to as stress-softening, of soft biological tissue. The model developed here includes the notion of multiple stress-strai
Externí odkaz:
http://arxiv.org/abs/2005.08586