Zobrazeno 1 - 10
of 2 923
pro vyhledávání: '"DeSantis P"'
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:
Marina Martello, Vincenza Solli, Gaia Mazzocchetti, Antonio Giovanni Solimando, Davide Bezzi, Barbara Taurisano, Ajsi Kanapari, Andrea Poletti, Enrica Borsi, Silvia Armuzzi, Ilaria Vigliotta, Ignazia Pistis, Vanessa Desantis, Giulia Marzocchi, Ilaria Rizzello, Lucia Pantani, Katia Mancuso, Paola Tacchetti, Nicoletta Testoni, Cristina Nanni, Elena Zamagni, Michele Cavo, Carolina Terragna
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Multiple myeloma (MM) is a plasma cell (PC) disorder characterized by skeletal involvement at the time of diagnosis. Recently, cell-free DNA (cfDNA) has been proven to recapitulate the heterogeneity of bone marrow (BM) disease. Our aim was t
Externí odkaz:
https://doaj.org/article/eaa37328df0f4ab996b97af02aa06e5b
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract Several Earth system components are at a high risk of undergoing rapid, irreversible qualitative changes or “tipping” with increasing climate warming. It is therefore necessary to investigate the feasibility of arresting or even reversin
Externí odkaz:
https://doaj.org/article/28b90344241047279f513f93523cfb3e
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