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Philipp Meyer

Publications and source records attributed to Philipp Meyer.

22 records · Page 2Linked to original sources

Scale invariant Green-Kubo relation for time averaged diffusivity

In recent years it was shown both theoretically and experimentally that in certain systems exhibiting anomalous diffusion the time and ensemble average mean squared displacement are remarkably different. The ensemble average diffusivity is obtained from a scaling Green-Kubo relation, which connects the scale invariant non-stationary velocity correlation function with the transport coefficient. Here we obtain the relation between time averaged diffusivity, usually recorded in single particle tracking experiments, and the underlying scale invariant velocity correlation function. The time averaged mean squared displacement is given by $\overline{δ^2} \sim 2 D_νt^βΔ^{ν-β}$ where $t$ is the total measurement time and $Δ$ the lag time. Here $ν>1$ is the anomalous diffusion exponent obtained from ensemble averaged measurements $\langle x^2 \rangle \sim t^ν$ while $β\ge -1$ marks the growth or decline of the kinetic energy $\langle v^2 \rangle \sim t^β$. Thus we establish a connection between exponents which can be read off the asymptotic properties of the velocity correlation function and similarly for the transport constant $D_ν$. We demonstrate our results with non-stationary scale invariant stochastic and deterministic models, thereby highlighting that systems with equivalent behavior in the ensemble average can differ strongly in their time average. This is the case, for example, if averaged kinetic energy is finite, i.e. $β=0$, where $\langle \overline{δ^2}\rangle \neq \langle x^2\rangle$.

cond-mat.stat-mech↗

Extending OMNeT++ Towards a Platform for the Design of Future In-Vehicle Network Architectures

In-vehicle communication technologies are evolving. While today's cars are equipped with fieldbusses to interconnect the various electronic control units, next generation vehicles have timing and bandwidth requirements that exceed the capacities. In particular Advanced Driver Assistance Systems (ADAS) and automated driving using high bandwidth sensors such as cameras, LIDAR or radar will challenge the in-car network. Automotive Ethernet is the most promising candidate to solve the upcoming challenges. But to design and evaluate new protocols, concepts, and architectures suitable analysis tools are required. Especially in the interim period with architectures using automotive Ethernet and legacy fieldbusses together, careful planning and design is of vital importance. Simulation can provide a good understanding of the expectable network metrics in an early development phase. This paper contributes a workflow as well as the required toolchain to evaluate new real-time Ethernet communication architectures using event based simulation in OMNeT++. We introduce a domain specific language (DSL) - the Abstract Network Description Language (ANDL) - to describe and configure the simulation and present the required simulation models for real-time Ethernet and fieldbus technologies such as CAN and FlexRay. We further introduce new analysis tools for special in-vehicle network use-cases and the interaction of the simulation with third-party applications established in the automotive domain.

cs.NI↗

An analysis of nonadiabatic ring-polymer molecular dynamics and its application to vibronic spectra

Nonadiabatic ring-polymer molecular dynamics employs the mapping approach to describe nonadiabatic effects within the ring-polymer ansatz. In this paper, it is generalized to allow for the nuclear and electronic degrees of freedom to be described by different numbers of ring-polymer beads. Analysis of the resulting method shows that as the number of electronic mapping variables increases, certain problems associated with the approach are removed, such as the non-unique choice of the mapping Hamiltonian and negative populations leading to inverted potential-energy surfaces. Explicit integration over cyclic variables reduces the sign problem for the initial distribution in the general case. A new application for the simulation of vibronic spectra is described and promising results are presented for a model system.

physics.chem-ph↗

Infinite probability computation by cyclic explanation graphs

Tabling in logic programming has been used to eliminate redundant computation and also to stop infinite loop. In this paper we investigate another possibility of tabling, i.e. to compute an infinite sum of probabilities for probabilistic logic programs. Using PRISM, a logic-based probabilistic modeling language with a tabling mechanism, we generalize prefix probability computation for probabilistic context free grammars (PCFGs) to probabilistic logic programs. Given a top-goal, we search for all proofs with tabling and obtain an explanation graph which compresses them and may be cyclic. We then convert the explanation graph to a set of linear probability equations and solve them by matrix operation. The solution gives us the probability of the top-goal, which, in nature, is an infinite sum of probabilities. Our general approach to prefix probability computation through tabling not only allows to deal with non-PCFGs such as probabilistic left-corner grammars (PLCGs) but has applications such as plan recognition and probabilistic model checking and makes it possible to compute probability for probabilistic models describing cyclic relations. To appear in Theory and Practice of Logic Programming (TPLP).

cs.PL↗