Zobrazeno 1 - 10
of 71 262
pro vyhledávání: '"A. Wenzel"'
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 3917-3931 (2024)
It is essential to accurately assess and verify the effects of air pollution on human health and the environment in order to develop effective mitigation strategies. More accurate analysis of air pollution can be achieved by utilizing a higher-densit
Externí odkaz:
https://doaj.org/article/5edbe61c534e416dbb79c6568834da35
Autor:
X. Zhao, J. Chen, J. Marshall, M. Gałkowski, S. Hachinger, F. Dietrich, A. Shekhar, J. Gensheimer, A. Wenzel, C. Gerbig
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 14325-14347 (2023)
To address ambitious goals of carbon neutrality set at national and city scales, a number of atmospheric networks have been deployed to monitor greenhouse gas (GHG) concentrations in and around cities. To convert these measurements into estimates of
Externí odkaz:
https://doaj.org/article/e613b7328ef04688911b67906cab56de
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 10267-10285 (2023)
Machine learning (ML) models are becoming a meaningful tool for modeling air pollutant concentrations. ML models are capable of learning and modeling complex nonlinear interactions between variables, and they require less computational effort than ch
Externí odkaz:
https://doaj.org/article/fa2177509dc748d29424133d37fc1198
Autor:
T. S. Jones, J. E. Franklin, J. Chen, F. Dietrich, K. D. Hajny, J. C. Paetzold, A. Wenzel, C. Gately, E. Gottlieb, H. Parker, M. Dubey, F. Hase, P. B. Shepson, L. H. Mielke, S. C. Wofsy
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 13131-13147 (2021)
Cities represent a large and concentrated portion of global greenhouse gas emissions, including methane. Quantifying methane emissions from urban areas is difficult, and inventories made using bottom-up accounting methods often differ greatly from to
Externí odkaz:
https://doaj.org/article/336bdfae57394bb6ac4ccc56785a7cae
Autor:
Roy, R. Mathew, Feng, X., Wenzel, M., Hasse, V., Shekhar, C., Vergniory, M. G., Felser, C., Pronin, A. V., Dressel, M.
The natural van der Waals heterostructure 4H$_b$-TaS$_2$ composed of alternating 1T- and 1H-TaS$_2$ layers serves as a platform for investigating the electronic correlations and layer-dependent properties of novel quantum materials. The temperature e
Externí odkaz:
http://arxiv.org/abs/2411.07823
Autor:
Blank, Nils, Reuss, Moritz, Rühle, Marcel, Yağmurlu, Ömer Erdinç, Wenzel, Fabian, Mees, Oier, Lioutikov, Rudolf
A central challenge towards developing robots that can relate human language to their perception and actions is the scarcity of natural language annotations in diverse robot datasets. Moreover, robot policies that follow natural language instructions
Externí odkaz:
http://arxiv.org/abs/2410.17772
Autor:
Mekala, Rohan Reddy, Pahde, Frederik, Baur, Simon, Chandrashekar, Sneha, Diep, Madeline, Wenzel, Markus, Wisotzky, Eric L., Yolcu, Galip Ümit, Lapuschkin, Sebastian, Ma, Jackie, Eisert, Peter, Lindvall, Mikael, Porter, Adam, Samek, Wojciech
In the realm of dermatological diagnoses, where the analysis of dermatoscopic and microscopic skin lesion images is pivotal for the accurate and early detection of various medical conditions, the costs associated with creating diverse and high-qualit
Externí odkaz:
http://arxiv.org/abs/2410.05114
Autor:
Kleikamp, Hendrik, Wenzel, Tizian
In this contribution, kernel approximations are applied as ansatz functions within the Deep Ritz method. This allows to approximate weak solutions of elliptic partial differential equations with weak enforcement of boundary conditions using Nitsche's
Externí odkaz:
http://arxiv.org/abs/2410.03503
Autor:
Wenzel, Gabi, Speak, Thomas H., Changala, P. Bryan, Willis, Reace H. J., Burkhardt, Andrew M., Zhang, Shuo, Bergin, Edwin A., Byrne, Alex N., Charnley, Steven B., Fried, Zachary T. P., Gupta, Harshal, Herbst, Eric, Holdren, Martin S., Lipnicky, Andrew, Loomis, Ryan A., Shingledecker, Christopher N., Xue, Ci, Remijan, Anthony J., Wendlandt, Alison E., McCarthy, Michael C., Cooke, Ilsa R., McGuire, Brett A.
Polycyclic aromatic hydrocarbons (PAHs) are among the most ubiquitous compounds in the universe, accounting for up to ~25% of all interstellar carbon. Since most unsubstituted PAHs do not possess permanent dipole moments, they are invisible to radio
Externí odkaz:
http://arxiv.org/abs/2410.00670
Autor:
Wenzel, Gabi, Cooke, Ilsa R., Changala, P. Bryan, Bergin, Edwin A., Zhang, Shuo, Burkhardt, Andrew M., Byrne, Alex N., Charnley, Steven B., Cordiner, Martin A., Duffy, Miya, Fried, Zachary T. P., Gupta, Harshal, Holdren, Martin S., Lipnicky, Andrew, Loomis, Ryan A., Shay, Hannah Toru, Shingledecker, Christopher N., Siebert, Mark A., Stewart, D. Archie, Willis, Reace H. J., Xue, Ci, Remijan, Anthony J., Wendlandt, Alison E., McCarthy, Michael C., McGuire, Brett A.
Polycyclic aromatic hydrocarbons (PAHs) are expected to be the most abundant class of organic molecules in space. Their interstellar lifecycle is not well understood, and progress is hampered by difficulties detecting individual PAH molecules. Here,
Externí odkaz:
http://arxiv.org/abs/2410.00657