Zobrazeno 1 - 10
of 292
pro vyhledávání: '"Hauch, Jens"'
Autor:
Wu, Jianchang, Torresi, Luca, Hu, ManMan, Reiser, Patrick, Zhang, Jiyun, Rocha-Ortiz, Juan S., Wang, Luyao, Xie, Zhiqiang, Zhang, Kaicheng, Park, Byung-wook, Barabash, Anastasia, Zhao, Yicheng, Luo, Junsheng, Wang, Yunuo, Lüer, Larry, Deng, Lin-Long, Hauch, Jens A., Seok, Sang Il, Friederich, Pascal, Brabec, Christoph J.
The inverse design of tailored organic molecules for specific optoelectronic devices of high complexity holds an enormous potential, but has not yet been realized1,2. The complexity and literally infinite diversity of conjugated molecular structures
Externí odkaz:
http://arxiv.org/abs/2407.00729
Autor:
Zhang, Jiyun, Barabash, Anastasia, Du, Tian, Wu, Jianchang, Corre, Vincent M. Le, Zhao, Yicheng, Qiu, Shudi, Zhang, Kaicheng, Schmitt, Frederik, Peng, Zijian, Tian, Jingjing, Li, Chaohui, Liu, Chao, Heumueller, Thomas, Lüer, Larry, Hauch, Jens A., Brabec, Christoph J.
Achieving high-performance perovskite photovoltaics, especially in ambient air relies heavily on optimizing process parameters. However, traditional manual methods often struggle to effectively control the key variables. This inherent challenge requi
Externí odkaz:
http://arxiv.org/abs/2404.00106
Autor:
Osterrieder, Tobias, Schmitt, Frederik, Luer, Larry, Wagner, Jerrit, Heumüller, Thomas, Hauch, Jens, Brabec, Christoph
Optimizing solution-processed organic solar cells is a complex task due to the vast parameter space in organic photovoltaics (OPV). Classical Edisonian or one-variable-at-a-time (OVAT) optimization approaches are laborious, time-consuming, and may no
Externí odkaz:
http://arxiv.org/abs/2305.08248
Autor:
Wu, Jianchang, Zhang, Jiyun, Hu, Manman, Reiser, Patrick, Torresi, Luca, Friederich, Pascal, Lahn, Leopold, Kasian, Olga, Guldi, Dirk M., Pérez-Ojeda, M. Eugenia, Barabash, Anastasia, Rocha-Ortiz, Juan S., Zhao, Yicheng, Xie, Zhiqiang, Luo, Junsheng, Wang, Yunuo, Seok, Sang Il, Hauch, Jens A., Brabec, Christoph J.
Publikováno v:
J. Am. Chem. Soc. 2023, 145, 30, 1651-16525
High-throughput synthesis of solution-processable structurally variable small-molecule semiconductors is both an opportunity and a challenge. A large number of diverse molecules provide a possibility for quick material discovery and machine learning
Externí odkaz:
http://arxiv.org/abs/2305.07867
Autor:
Bommes, Lukas, Buerhop-Lutz, Claudia, Pickel, Tobias, Hauch, Jens, Brabec, Christoph, Peters, Ian Marius
To identify abnormal photovoltaic (PV) modules in large-scale PV plants economically, drone-mounted infrared (IR) cameras and automated video processing algorithms are frequently used. While most related works focus on the detection of abnormal modul
Externí odkaz:
http://arxiv.org/abs/2204.02733
Autor:
Bommes, Lukas, Hoffmann, Mathis, Buerhop-Lutz, Claudia, Pickel, Tobias, Hauch, Jens, Brabec, Christoph, Maier, Andreas, Peters, Ian Marius
Increasing deployment of photovoltaic (PV) plants requires methods for automatic detection of faulty PV modules in modalities, such as infrared (IR) images. Recently, deep learning has become popular for this. However, related works typically sample
Externí odkaz:
http://arxiv.org/abs/2112.02922
Publikováno v:
In Joule 17 April 2024 8(4):899-912
Autor:
Bommes, Lukas, Pickel, Tobias, Buerhop-Lutz, Claudia, Hauch, Jens, Brabec, Christoph, Peters, Ian Marius
Increasing deployment of photovoltaics (PV) plants demands for cheap and fast inspection. A viable tool for this task is thermographic imaging by unmanned aerial vehicles (UAV). In this work, we develop a computer vision tool for the semi-automatic e
Externí odkaz:
http://arxiv.org/abs/2106.07314
Autor:
Buerhop-Lutz, Claudia, Stoyuk, Oleksandr, Pickel, Tobias, Winkler, Thilo, Hauch, Jens, Peters, Ian Marius
Degradation of backsheets (BS) and encapsulant polymer components of silicon PV modules is recognized as one of the main reasons for losses in PV plant performance and lifetime expectations. Here, we report first insights into the correlation between
Externí odkaz:
http://arxiv.org/abs/2105.05462
Autor:
Wagner, Jerrit, Berger, Christian G., Du, Xiaoyan, Stubhan, Tobias, Hauch, Jens A., Brabec, Christoph J.
The development of complex functional materials poses a multi-objective optimization problem in a large multidimensional parameter space. Solving it requires reproducible, user independent laboratory work and intelligent preselection of experiments.
Externí odkaz:
http://arxiv.org/abs/2104.07455