Philipp Henning
University of Rostock
17 Papers
15 Citations
Philipp Henning is an academic researcher from University of Rostock. The author has contributed to research in topics: Computer science & Electron. The author has an hindex of 3, co-authored 8 publications.
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Papers
Low-temperature internal quantum efficiency of GaInN/GaN quantum wells under steady-state conditions
Shawutijiang Sidikejiang,Philipp Henning,Philipp Horenburg,Heiko Bremers,Uwe Rossow,Dirk Menzel,Andreas Hangleiter +6 more
TL;DR: In this paper , the low-temperature photoluminescence (PL) intensities of a range of GaInN/GaN quantum well (QW) structures under identical excitation conditions were compared.
EB-DEVS: A formal framework for modeling and simulation of emergent behavior in dynamic complex systems
Daniel J. Foguelman,Daniel J. Foguelman,Philipp Henning,Adelinde M. Uhrmacher,Rodrigo Castro,Rodrigo Castro +5 more
TL;DR: In this paper, the emergent behavior-DEVS formalism is extended with upward/downward communication channels for modular and hierarchical M&S of heterogeneous multi-formalism systems.
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EB-DEVS: A Formal Framework for Modeling and Simulation of Emergent Behavior in Dynamic Complex Systems
TL;DR: Emergent Behavior-DEVS is introduced, a Modeling and Simulation (M\&S) formalism that permits reasoning about complex systems where emergent behavior is placed at the forefront of the analysis activity, and takes a minimalist stance on expressiveness.
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Potential based, spatial simulation of dynamically nested particles
TL;DR: By handling all dynamics based on potentials and the Langevin equation, compartmental dynamics, such as dynamic nesting, fusion and fission of compartmental structures are handled continuously and are seamlessly integrated with traditional particle-based reaction-diffusion dynamics within the cell.
Pragmatic Logic-Based Spatio-Temporal Pattern Checking in Particle-Based Models
Andreas Ruscheinski,Anja Wolpers,Philipp Henning,Tom Warnke,Fiete Haack,Adelinde M. Uhrmacher +5 more
- 14 Dec 2020
TL;DR: In this paper, the authors propose an approach to automatically translate the output of continuous-space particle-based simulations into an input for discrete-space spatio-temporal logics, parameterized with information about relevant regions and their development in time.
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