Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Felix Dietrich"'
Autor:
Fangping Zhuo, Xiandong Zhou, Felix Dietrich, Mehrzad Soleimany, Patrick Breckner, Pedro B. Groszewicz, Bai‐Xiang Xu, Gerd Buntkowsky, Jürgen Rödel
Publikováno v:
Advanced Science, Vol 11, Iss 31, Pp n/a-n/a (2024)
Abstract Unlike metals where dislocations carry strain singularity but no charge, dislocations in oxide ceramics are characterized by both a strain field and a local charge with a compensating charge envelope. Oxide ceramics with their deliberate eng
Externí odkaz:
https://doaj.org/article/f9bf440db9624006b6f44bfe961c9ff3
Autor:
Fangping Zhuo, Xiandong Zhou, Shuang Gao, Marion Höfling, Felix Dietrich, Pedro B. Groszewicz, Lovro Fulanović, Patrick Breckner, Andreas Wohninsland, Bai-Xiang Xu, Hans-Joachim Kleebe, Xiaoli Tan, Jurij Koruza, Dragan Damjanovic, Jürgen Rödel
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Dislocations are often perceived as a culprit for degradation in functionality. Here, the authors introduce a general framework for engineering dislocations and domain walls and demonstrate its full potential on a ferroelectric BaTiO3 single crystal.
Externí odkaz:
https://doaj.org/article/7f2aba9a6d7b46d5912b9a22a2e20d3b
Autor:
Kislaya Ravi, Vladyslav Fediukov, Felix Dietrich, Tobias Neckel, Fabian Buse, Michael Bergmann, Hans-Joachim Bungartz
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 4, p 045015 (2024)
One of the main challenges in surrogate modeling is the limited availability of data due to resource constraints associated with computationally expensive simulations. Multi-fidelity methods provide a solution by chaining models in a hierarchy with i
Externí odkaz:
https://doaj.org/article/c15fb50d403f474d8603fc120a370702
Autor:
Felix P. Kemeth, Tom Bertalan, Thomas Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Machine learning tools allow to extract dynamical systems from data, however this problem remains challenging for networks and systems of interacting agents. The authors introduce an approach to learn a predictive model for the dynamics of coupled ag
Externí odkaz:
https://doaj.org/article/2920c09e87f149b2b66c83365c6a249d
Publikováno v:
Media and Communication, Vol 8, Iss 3, Pp 153-163 (2020)
The question of what is important when we evaluate movies is crucial for understanding how lay audiences experience and evaluate entertainment products such as films. In line with this, subjective movie evaluation criteria (SMEC) have been conceptual
Externí odkaz:
https://doaj.org/article/1fbd1f8854da4f9f958ce1521a784ca1
Autor:
Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Hohlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis
Publikováno v:
IEEE Access, Vol 6, Pp 77402-77413 (2018)
Manifold-learning techniques are routinely used in mining complex spatiotemporal data to extract useful, parsimonious data representations/parametrizations; these are, in turn, useful in nonlinear model identification tasks. We focus here on the case
Externí odkaz:
https://doaj.org/article/9d795c384df047b186d273cf5d16fed1
Publikováno v:
Energies, Vol 14, Iss 5, p 1356 (2021)
Maximum-power point tracking of wind turbines is a challenging issue considering fast changing wind conditions of urban areas. For this purpose, an adaptive control approach that is fast and robust is required. Conventional approaches based on simple
Externí odkaz:
https://doaj.org/article/9de03f33b7bc4bb9be4d07191675ef36
Publikováno v:
eLife, Vol 2 (2013)
A core prediction of the vesicular transport model is that COPI vesicles are responsible for trafficking anterograde cargoes forward. In this study, we test this prediction by examining the properties and requirements of inter-Golgi transport within
Externí odkaz:
https://doaj.org/article/7e1e42812f2f4fce9655015ce9fdbaa0
Autor:
Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas, Alex J. Yeh, Rachel S. Hendley, Michael A. Bevan, Ioannis G. Kevrekidis
Publikováno v:
Molecular Systems Design & Engineering.
We construct a reduced, data-driven, parameter dependent effective Stochastic Differential Equation (eSDE) for electric-field mediated colloidal crystallization using data obtained from Brownian dynamics simulations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::109238b8aa30620897e0fa1e9df2102d
https://doi.org/10.1039/d2me00086e
https://doi.org/10.1039/d2me00086e
Publikováno v:
Proceedings of the 11th Asia-Pacific Regional Conference of the ISTVS.
Wheeled vehicles are the most convenient and widespread locomotion machines for the majority of research, industrial or private tasks. A perceptible share of wheeled vehicles is used on soft soil. Modelling wheel locomotion in these situations is cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfa14e7c3dd99cd22bafdf9840589e7d
https://doi.org/10.56884/wgpv6693
https://doi.org/10.56884/wgpv6693