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pro vyhledávání: '"Cole, David"'
Autor:
Cole, David Austin
Due to advancements in supercomputing and algorithms for finite element analysis, today's computer simulation models often contain complex calculations that can result in a wealth of knowledge. Gaussian processes (GPs) are highly desirable models for
Externí odkaz:
http://hdl.handle.net/10919/112960
Publikováno v:
ChemPhysChem, 2024, e202400360
Adsorption in nanoporous materials is one strategy that can be used to store hydrogen at conditions of temperature and pressure that are economically viable. Adsorption capacity of nanoporous materials depends on surface area which can be enhanced by
Externí odkaz:
http://arxiv.org/abs/2403.17699
Deciphering the interplay between confinement effects and intermolecular interactions in zeolites is crucial for understanding diverse diffusion behaviors of confined molecules. Recent studies explored the impact of water and CO$_2$ on hydrocarbon dy
Externí odkaz:
http://arxiv.org/abs/2402.04288
Autor:
Cole, David L, Zavala, Victor M
Datasets encountered in scientific and engineering applications appear in complex formats (e.g., images, multivariate time series, molecules, video, text strings, networks). Graph theory provides a unifying framework to model such datasets and enable
Externí odkaz:
http://arxiv.org/abs/2401.11404
We propose a framework for applying reinforcement learning to contextual two-stage stochastic optimization and apply this framework to the problem of energy market bidding of an off-shore wind farm. Reinforcement learning could potentially be used to
Externí odkaz:
http://arxiv.org/abs/2312.10884