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of 5
pro vyhledávání: '"Brockherde, Felix"'
Autor:
Houben, Sebastian, Abrecht, Stephanie, Akila, Maram, Bär, Andreas, Brockherde, Felix, Feifel, Patrick, Fingscheidt, Tim, Gannamaneni, Sujan Sai, Ghobadi, Seyed Eghbal, Hammam, Ahmed, Haselhoff, Anselm, Hauser, Felix, Heinzemann, Christian, Hoffmann, Marco, Kapoor, Nikhil, Kappel, Falk, Klingner, Marvin, Kronenberger, Jan, Küppers, Fabian, Löhdefink, Jonas, Mlynarski, Michael, Mock, Michael, Mualla, Firas, Pavlitskaya, Svetlana, Poretschkin, Maximilian, Pohl, Alexander, Ravi-Kumar, Varun, Rosenzweig, Julia, Rottmann, Matthias, Rüping, Stefan, Sämann, Timo, Schneider, Jan David, Schulz, Elena, Schwalbe, Gesina, Sicking, Joachim, Srivastava, Toshika, Varghese, Serin, Weber, Michael, Wirkert, Sebastian, Wirtz, Tim, Woehrle, Matthias
Publikováno v:
Fingscheidt, T., Gottschalk, H., Houben, S. (eds) Deep Neural Networks and Data for Automated Driving, Springer, Cham (2022)
The use of deep neural networks (DNNs) in safety-critical applications like mobile health and autonomous driving is challenging due to numerous model-inherent shortcomings. These shortcomings are diverse and range from a lack of generalization over i
Externí odkaz:
http://arxiv.org/abs/2104.14235
Autor:
Bogojeski, Mihail, Brockherde, Felix, Vogt-Maranto, Leslie, Li, Li, Tuckerman, Mark E., Burke, Kieron, Müller, Klaus-Robert
The Kohn-Sham scheme of density functional theory is one of the most widely used methods to solve electronic structure problems for a vast variety of atomistic systems across different scientific fields. While the method is fast relative to other fir
Externí odkaz:
http://arxiv.org/abs/1811.06255
Autor:
Brockherde, Felix, Vogt, Leslie, Li, Li, Tuckerman, Mark E., Burke, Kieron, Müller, Klaus-Robert
Last year, at least 30,000 scientific papers used the Kohn-Sham scheme of density functional theory to solve electronic structure problems in a wide variety of scientific fields, ranging from materials science to biochemistry to astrophysics. Machine
Externí odkaz:
http://arxiv.org/abs/1609.02815
Autor:
Brockherde, Felix
Applications of machine learning have shown promising results modeling the non-interacting kinetic energy functional in 1-D. This holds the promise of enabling orbital-free density functional theory calculations, by-passing the computationally expens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______793::6e08e652440f0e47f0a5468e54174efc
Akademický článek
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