Zobrazeno 1 - 10
of 438
pro vyhledávání: '"Chertkov, Michael"'
Autor:
Behjoo, Hamidreza, Chertkov, Michael
In this manuscript, we present a novel approach for sampling from a continuous multivariate probability distribution, which may either be explicitly known (up to a normalization factor) or represented via empirical samples. Our method constructs a ti
Externí odkaz:
http://arxiv.org/abs/2409.15166
Autor:
Esmaieeli-Sikaroudi, Amir-Mohammad, Goikhman, Boris, Chubarov, Dmitri, Nguyen, Hung Dinh, Chertkov, Michael, Vorobev, Petr
Energy efficiency of buildings is considered to be one of the major means of achieving the net-zero carbon goal around the world. The big part of the energy savings are supposed to be coming from optimizing the operation of the building heating, vent
Externí odkaz:
http://arxiv.org/abs/2409.11743
Turbulent diffusion causes particles placed in proximity to separate. We investigate the required swimming efforts to maintain an active particle close to its passively advected counterpart. We explore optimally balancing these efforts by developing
Externí odkaz:
http://arxiv.org/abs/2406.10242
Autor:
Chertkov, Michael
The paper reflects on the future role of AI in scientific research, with a special focus on turbulence studies, and examines the evolution of AI, particularly through Diffusion Models rooted in non-equilibrium statistical mechanics. It underscores th
Externí odkaz:
http://arxiv.org/abs/2403.17993
Autor:
Behjoo, Hamidreza, Chertkov, Michael
In this study, we introduce a novel method for generating new synthetic samples that are independent and identically distributed (i.i.d.) from high-dimensional real-valued probability distributions, as defined implicitly by a set of Ground Truth (GT)
Externí odkaz:
http://arxiv.org/abs/2402.08847
Autor:
Liu, Yihan, Chertkov, Michael
We study the Floating Offshore Wind Turbine (FOWT) dynamic response to high wind velocity scenarios utilizing an extensive Markov Chain Monte Carlo simulation involving 10,000 trials of a reduced model from \cite{betti_development_2014} with a blade-
Externí odkaz:
http://arxiv.org/abs/2402.00018
Autor:
Pagnier, Laurent, Hyett, Criston, Ferrando, Robert, Goldshtein, Igal, Alisse, Jean, Saban, Lilah, Chertkov, Michael
Faced with the complexities of managing natural gas-dependent power system amid the surge of renewable integration and load unpredictability, this study explores strategies for navigating emergency transitions to costlier secondary fuels. Our aim is
Externí odkaz:
http://arxiv.org/abs/2311.08686
Autor:
Hyett, Criston, Pagnier, Laurent, Alisse, Jean, Goldshtein, Igal, Saban, Lilah, Ferrando, Robert, Chertkov, Michael
In many power systems, particularly those isolated from larger intercontinental grids, operational dependence on natural gas becomes pivotal, especially during fluctuations or unavailability of renewables coupled with uncertain consumption patterns.
Externí odkaz:
http://arxiv.org/abs/2310.18507
Autor:
Woodward, Michael, Tian, Yifeng, Lin, Yen Ting, Mohan, Arvind, Hader, Christoph, Fasel, Hermann, Chertkov, Michael, Livescu, Daniel
Understanding, predicting and controlling laminar-turbulent boundary-layer transition is crucial for the next generation aircraft design. However, in real flight experiments, or wind tunnel tests, often only sparse sensor measurements can be collecte
Externí odkaz:
http://arxiv.org/abs/2309.15864
Our study presents an intermediate-level modeling approach that bridges the gap between complex Agent-Based Models (ABMs) and traditional compartmental models for infectious diseases. We introduce "super-agents" to simulate infection spread in cities
Externí odkaz:
http://arxiv.org/abs/2309.07055