Zobrazeno 1 - 10
of 1 520
pro vyhledávání: '"P. Meinecke"'
Multi-physics simulations play a crucial role in understanding complex systems. However, their computational demands are often prohibitive due to high dimensionality and complex interactions, such that actual calculations often rely on approximations
Externí odkaz:
http://arxiv.org/abs/2402.16433
Autor:
Meinecke, Stefan, Lüdge, Kathy
Publikováno v:
Appl. Phys. Lett. 118, 011104 (2021)
Efficient simulation of the timing jitter in passively mode-locking lasers is key to their numerical investigation and optimization. We introduce a method based on the pulse-period fluctuation auto-correlation function and compare it against establis
Externí odkaz:
http://arxiv.org/abs/2402.13780
Autor:
Meinecke, Stefan, Lüdge, Kathy
Publikováno v:
Phys. Rev. Appl. 18, 064070 (2022)
Passively mode-locked semiconductor disk lasers have received tremendous attention from both science and industry. Their relatively inexpensive production combined with excellent pulse performance and great emission wavelength flexibility make them s
Externí odkaz:
http://arxiv.org/abs/2402.13761
Autor:
Meinecke, Stefan, Köster, Felix, Christiansen, Dominik, Lüdge, Kathy, Knorr, Andreas, Selig, Malte
Publikováno v:
Phys. Rev. B 107, 184306 (2023)
We present a data-driven approach to efficiently approximate nonlinear transient dynamics in solid-state systems. Our proposed machine-learning model combines a dimensionality reduction stage with a nonlinear vector autoregression scheme. We report a
Externí odkaz:
http://arxiv.org/abs/2402.13685
Publikováno v:
Ann. Phys. (Berl.) 529, 1600279 (2017)
Simultaneous two-state lasing is a unique property of semiconductor quantum-dot (QD) lasers. This not only changes steady-state characteristics of the laser device but also its dynamic response to perturbations. In this paper we investigate the dynam
Externí odkaz:
http://arxiv.org/abs/2402.14119
Autor:
Arends, Christian, Wolf, Lasse, Meinecke, Jasmin, Barkhofen, Sonja, Weich, Tobias, Bartley, Tim
Decomposing complex unitary evolution into a series of constituent components is a cornerstone of practical quantum information processing. While the decompostion of an $n\times n$ unitary into a series of $2\times2$ subunitaries is well established
Externí odkaz:
http://arxiv.org/abs/2309.12440
Autor:
Colton D. Meinecke, Afaq M. M. Niyas, Elizabeth McCarty, Tania Quesada, Jason A. Smith, Caterina Villari
Publikováno v:
Phytobiomes Journal, Vol 8, Iss 4, Pp 512-528 (2024)
Needle pathogens cause the discoloration, death, or premature abscission of conifer foliage, reducing growth and vigor, and repeated defoliation may eventually result in tree mortality. Since 2016, forest managers in the southeast United States have
Externí odkaz:
https://doaj.org/article/4b8ef1bb53324284aa546588b9d443c7
Autor:
Kohl, Philipp, Freyer, Nils, Krämer, Yoka, Werth, Henri, Wolf, Steffen, Kraft, Bodo, Meinecke, Matthias, Zündorf, Albert
Publikováno v:
Conte, D., Fred, A., Gusikhin, O., Sansone, C. (eds) Deep Learning Theory and Applications. DeLTA 2023. Communications in Computer and Information Science, vol 1875. Springer, Cham
Supervised machine learning and deep learning require a large amount of labeled data, which data scientists obtain in a manual, and time-consuming annotation process. To mitigate this challenge, Active Learning (AL) proposes promising data points to
Externí odkaz:
http://arxiv.org/abs/2308.02537
Publikováno v:
Proceedings of the 12th International Conference on Data Science, Technology and Applications DATA - Volume 1, 335-342, 2023 , Rome, Italy
Extracting workflow nets from textual descriptions can be used to simplify guidelines or formalize textual descriptions of formal processes like business processes and algorithms. The task of manually extracting processes, however, requires domain ex
Externí odkaz:
http://arxiv.org/abs/2307.09959
Autor:
Schetinger, Victor, Di Bartolomeo, Sara, de Lima, Edirlei Soares, Meinecke, Christofer, Rosa, Rudolf
This paper presents a novel exploration of the interaction between generative AI models, visualization, and narrative generation processes, using OpenAI's GPT as a case study. We look at the question "Where Does Generativeness Comes From", which has
Externí odkaz:
http://arxiv.org/abs/2308.06266