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pro vyhledávání: '"Albert, Adrian"'
We examine the optical properties of a system of nano and micro particles of varying size, shape, and material (including metals and dielectrics, and sub-wavelength and super-wavelength regimes). Training data is generated by numerically solving Maxw
Externí odkaz:
http://arxiv.org/abs/2002.04223
While deep learning has shown tremendous success in a wide range of domains, it remains a grand challenge to incorporate physical principles in a systematic manner to the design, training, and inference of such models. In this paper, we aim to predic
Externí odkaz:
http://arxiv.org/abs/1911.08655
Accurately forecasting urban development and its environmental and climate impacts critically depends on realistic models of the spatial structure of the built environment, and of its dependence on key factors such as population and economic developm
Externí odkaz:
http://arxiv.org/abs/1907.09543
Simulating complex physical systems often involves solving partial differential equations (PDEs) with some closures due to the presence of multi-scale physics that cannot be fully resolved. Therefore, reliable and accurate closure models for unresolv
Externí odkaz:
http://arxiv.org/abs/1905.06841
Akademický článek
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In this study we propose a new method to simulate hyper-realistic urban patterns using Generative Adversarial Networks trained with a global urban land-use inventory. We generated a synthetic urban "universe" that qualitatively reproduces the complex
Externí odkaz:
http://arxiv.org/abs/1801.02710
Urban planning applications (energy audits, investment, etc.) require an understanding of built infrastructure and its environment, i.e., both low-level, physical features (amount of vegetation, building area and geometry etc.), as well as higher-lev
Externí odkaz:
http://arxiv.org/abs/1704.02965
Publikováno v:
In Cell Reports Physical Science 23 December 2020 1(12)
Autor:
Chmielewski, Marek, Załachowska, Oliwia, Komandera, Dominika, Albert, Adrian, Wierzbowska, Maria, Kwapisz, Ewa, Katkowska, Marta, Gębska, Alina, Garbacz, Katarzyna
Publikováno v:
Antibiotics (2079-6382); Jul2024, Vol. 13 Issue 7, p649, 7p
Publikováno v:
In Journal of Computational Physics 1 April 2020 406