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pro vyhledávání: '"A, PROPPE"'
Autor:
Proppe, Andrew H., Lee, Kin Long Kelvin, Sun, Weiwei, Krajewska, Chantalle J., Tye, Oliver, Bawendi, Moungi G.
Deep neural network models can be used to learn complex dynamics from data and reconstruct sparse or noisy signals, thereby accelerating and augmenting experimental measurements. Evaluating the quantum optical properties of solid-state single-photon
Externí odkaz:
http://arxiv.org/abs/2411.11191
Autor:
Surzhikova, Elizaveta, Proppe, Jonny
Increasingly more research areas rely on machine learning methods to accelerate discovery while saving resources. Machine learning models, however, usually require large datasets of experimental or computational results, which in certain fields, such
Externí odkaz:
http://arxiv.org/abs/2410.17917
Autor:
Proppe, Andrew H., Thekkadath, Guillaume, England, Duncan, Bustard, Philip J., Bouchard, Frédéric, Lundeen, Jeff S., Sussman, Benjamin J.
Publikováno v:
APL Mach. Learn. 2, 036110 (2024)
In recent years, neural networks have been used to solve phase retrieval problems in imaging with superior accuracy and speed than traditional techniques, especially in the presence of noise. However, in the context of interferometric imaging, phase
Externí odkaz:
http://arxiv.org/abs/2402.06063
Autor:
Fischer, Matthias, Proppe, Carsten
Publikováno v:
Probabilistic Engineering Mechanics, 74 (2023) 103486
With computational models becoming more expensive and complex, surrogate models have gained increasing attention in many scientific disciplines and are often necessary to conduct sensitivity studies, parameter optimization etc. In the scientific disc
Externí odkaz:
http://arxiv.org/abs/2307.06906
Autor:
Andrew H. Proppe, Guillaume Thekkadath, Duncan England, Philip J. Bustard, Frédéric Bouchard, Jeff S. Lundeen, Benjamin J. Sussman
Publikováno v:
APL Machine Learning, Vol 2, Iss 3, Pp 036110-036110-8 (2024)
In recent years, neural networks have been used to solve phase retrieval problems in imaging with superior accuracy and speed than traditional techniques, especially in the presence of noise. However, in the context of interferometric imaging, phase
Externí odkaz:
https://doaj.org/article/66c97c6ad4dc4a02a87423c09b12799f
Autor:
Proppe, L., Jaeger, A., Goy, Y., Petersen, C., Kruell, A., Prieske, K., Schmalfeldt, B., Mueller, V., Woelber, L.
Publikováno v:
In Gynecologic Oncology November 2024 190:264-271
Publikováno v:
Weather and Climate Dynamics, Vol 5, Pp 511-536 (2024)
Simulating the West African monsoon (WAM) system using numerical weather and climate models suffers from large uncertainties, which are difficult to assess due to nonlinear interactions between different components of the WAM. Here we present a funda
Externí odkaz:
https://doaj.org/article/5802cec44b8848b3be3b9f43cb69229e
Autor:
Laitz, Madeleine, Kaplan, Alexander E. K., Deschamps, Jude, Barotov, Ulugbek, Proppe, Andrew H., García-Benito, Inés, Osherov, Anna, Grancini, Giulia, deQuilettes, Dane W., Nelson, Keith, Bawendi, Moungi, Bulović, Vladimir
State-of-the-art hybrid perovskites have demonstrated excellent functionality in photovoltaics and light-emitting applications, and have emerged as a promising candidate for exciton-polariton (polariton) optoelectronics. In the strong coupling regime
Externí odkaz:
http://arxiv.org/abs/2203.13816
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