Zobrazeno 1 - 10
of 14 060
pro vyhledávání: '"DeSantis A"'
Autor:
Adak, Dibyendu, Truong, Duc P., Vuchkov, Radoslav, De, Saibal, DeSantis, Derek, Roberts, Nathan V., Rasmussen, Kim Ø., Alexandrov, Boian S.
In this paper, we present a new space-time Petrov-Galerkin-like method. This method utilizes a mixed formulation of Tensor Train (TT) and Quantized Tensor Train (QTT), designed for the spectral element discretization (Q1-SEM) of the time-dependent co
Externí odkaz:
http://arxiv.org/abs/2411.04026
Autor:
Kooloth, Parvathi, Lu, Jian, Huang, Yi, DeSantis, Derek, Huo, Yiling, Liu, Fukai, Wang, Hailong
We devise a pattern-aware feedback framework for representing the forced climate response using a suite of Green's function experiments with solar radiation perturbations. By considering the column energy balance, a comprehensive linear response func
Externí odkaz:
http://arxiv.org/abs/2410.22450
We present a theory of causality in dynamical systems using Koopman operators. Our theory is grounded on a rigorous definition of causal mechanism in dynamical systems given in terms of flow maps. In the Koopman framework, we prove that causal mechan
Externí odkaz:
http://arxiv.org/abs/2410.10103
Autor:
Danis, Mustafa Engin, Truong, Duc P., DeSantis, Derek, Petersen, Mark, Rasmussen, Kim O., Alexandrov, Boian S.
In this paper, we introduce a high-order tensor-train (TT) finite volume method for the Shallow Water Equations (SWEs). We present the implementation of the $3^{rd}$ order Upwind and the $5^{th}$ order Upwind and WENO reconstruction schemes in the TT
Externí odkaz:
http://arxiv.org/abs/2408.03483
Several Earth system components are at a high risk of undergoing rapid and irreversible qualitative changes or `tipping', due to increasing climate warming. Potential tipping elements include Arctic sea-ice, Atlantic meridional overturning circulatio
Externí odkaz:
http://arxiv.org/abs/2407.17357
Autor:
Xu, Wei, DeSantis, Derek Freeman, Luo, Xihaier, Parmar, Avish, Tan, Klaus, Nadiga, Balu, Ren, Yihui, Yoo, Shinjae
Learning a continuous and reliable representation of physical fields from sparse sampling is challenging and it affects diverse scientific disciplines. In a recent work, we present a novel model called MMGN (Multiplicative and Modulated Gabor Network
Externí odkaz:
http://arxiv.org/abs/2404.06418
Autor:
Hoffman, Benjamin, Cusimano, Maddie, Baglione, Vittorio, Canestrari, Daniela, Chevallier, Damien, DeSantis, Dominic L., Jeantet, Lorène, Ladds, Monique A., Maekawa, Takuya, Mata-Silva, Vicente, Moreno-González, Víctor, Pagano, Anthony, Trapote, Eva, Vainio, Outi, Vehkaoja, Antti, Yoda, Ken, Zacarian, Katherine, Friedlaender, Ari
Animal-borne sensors (`bio-loggers') can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Machine learning techniques are used for interpreting the large amounts of
Externí odkaz:
http://arxiv.org/abs/2305.10740
We propose a new method for combining in situ buoy measurements with Earth system models (ESMs) to improve the accuracy of temperature predictions in the ocean. The technique utilizes the dynamics \textit{and} modes identified in ESMs alongside buoy
Externí odkaz:
http://arxiv.org/abs/2301.05551
Autor:
Z. Jack Tseng, Larisa R. G. DeSantis
Publikováno v:
PeerJ, Vol 12, p e18435 (2024)
The mammalian adult dentition is a non-renewable resource. Tooth attrition and disease must be accommodated by individuals using behavioral, physiological, and/or musculoskeletal shifts to minimize impact on masticatory performance. From a biomechani
Externí odkaz:
https://doaj.org/article/3a85c1ea87f34b06a7c895988f92efe4
Publikováno v:
Qualitative Research in Medicine & Healthcare, Vol 8, Iss 2 (2024)
Leadership is increasingly recognized as important in medicine. Physician leadership impacts healthcare delivery and quality. Little work has been done to determine how physician leadership in practice aligns with established models in leadership the
Externí odkaz:
https://doaj.org/article/ee4a745fd69e43fb8887fd4379d9d01b