Zobrazeno 1 - 10
of 528
pro vyhledávání: '"Friedrich, R. P."'
Autor:
Oses, C., Esters, M., Hicks, D., Divilov, S., Eckert, H., Friedrich, R., Mehl, M. J., Smolyanyuk, A., Campilongo, X., van de Walle, A., Schroers, J, Kusne, A. G., Takeuchi, I., Zurek, E., Nardelli, M. Buongiorno, Fornari, M., Lederer, Y., Levy, O., Toher, C., Curtarolo, S.
The realization of novel technological opportunities given by computational and autonomous materials design requires efficient and effective frameworks. For more than two decades, aflow++ (Automatic-Flow Framework for Materials Discovery) has provide
Externí odkaz:
http://arxiv.org/abs/2208.03052
Autor:
Friedrich, R., Esters, M., Oses, C., Ki, S., Brenner, M. J., Hicks, D., Mehl, M. J., Toher, C., Curtarolo, S.
Publikováno v:
Phys. Rev. Materials 5, 043803 (2021)
The computational design of materials with ionic bonds poses a critical challenge to thermodynamic modeling since density functional theory yields inaccurate predictions of their formation enthalpies. Progress requires leveraging physically insightfu
Externí odkaz:
http://arxiv.org/abs/2101.02724
Autor:
Jan Schuetzke, Simon Schweidler, Friedrich R. Muenke, Andre Orth, Anurag D. Khandelwal, Ben Breitung, Jasmin Aghassi‐Hagmann, Markus Reischl
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 3, Pp n/a-n/a (2024)
New materials are frequently synthesized and optimized with the explicit intention to improve their properties to meet the ever‐increasing societal requirements for high‐performance and energy‐efficient electronics, new battery concepts, better
Externí odkaz:
https://doaj.org/article/d107eec609024aabb2346d6abdcd62d3
Autor:
Marcel P. Schilling, Tim Scherr, Friedrich R. Munke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl
Publikováno v:
IEEE Access, Vol 10, Pp 2753-2765 (2022)
Supervised deep learning approaches for automated diagnosis support require datasets annotated by experts. Intra-annotator variability of a single annotator and inter-annotator variability between annotators can affect the quality of the diagnosis su
Externí odkaz:
https://doaj.org/article/3925045a2d3447d08e0632ec793eca1b
We present an overview of recent works on the statistical description of turbulent flows in terms of probability density functions (PDFs) in the framework of the Lundgren-Monin-Novikov (LMN) hierarchy. Within this framework, evolution equations for t
Externí odkaz:
http://arxiv.org/abs/1209.6454
Autor:
Gurevich, S. V., Friedrich, R.
We report on a novel behavior of solitary localized structures in a real Swift-Hohenberg equation subjected to a delayed feedback. We shall show that variation in the product of the delay time and the feedback strength leads to nontrivial instabiliti
Externí odkaz:
http://arxiv.org/abs/1206.7059
Publikováno v:
2011 New J. Phys. 13 015002
Rayleigh-B\'enard convection in the turbulent regime is studied using statistical methods. Exact evolution equations for the probability density function of temperature and velocity are derived from first principles within the framework of the Lundgr
Externí odkaz:
http://arxiv.org/abs/1103.0690
Publikováno v:
Phys. Fluids 24, 125101 (2012)
We present a statistical analysis of the two-point vorticity probability density of the vorticity field generated in the inverse cascade of stationary two-dimensional turbulence.
Externí odkaz:
http://arxiv.org/abs/1012.3356
Publikováno v:
EPL 86 (2009) 66003
A thin liquid film covered with an insoluble surfactant in the vicinity of a first-order phase transition is discussed. Within the lubrication approximation we derive two coupled equations to describe the height profile of the film and the surfactant
Externí odkaz:
http://arxiv.org/abs/0903.1767
Autor:
Eule, S., Friedrich, R.
The role of external forces in systems exhibiting anomalous diffusion is discussed on the basis of the describing Langevin equations. Since there exist different possibilities to include the effect of an external field the concept of {\it biasing} an
Externí odkaz:
http://arxiv.org/abs/0902.2936