Results 31 to 40 of about 489,900 (326)
Type II entanglement in classical mechanics
A classical analog of entanglement using classical light beams was proposed recently. It was shown that this analog is valid only for single-particle entanglement (type II).
Yehuda Roth
doaj
Supersymmetry in Classical Mechanics
We briefly review the universal supersymmetry present in classical hamiltonian systems and show its applications to field theories.
DEOTTO E, GOZZI, ENNIO, MAURO D.
openaire +3 more sources
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Context affects student thinking about sources of uncertainty in classical and quantum mechanics
Measurement uncertainty is an important topic in the undergraduate laboratory curriculum. Previous research on student thinking about experimental measurement uncertainty has focused primarily on introductory-level students’ procedural reasoning about ...
Emily M. Stump+3 more
doaj +1 more source
Algebraic solution for the classical harmonic oscillator
The harmonic oscillator is one of the most studied systems in Physics with a myriad of applications. One of the first problems solved in a Quantum Mechanics course is calculating the energy spectrum of the simple harmonic oscillator with analytic and ...
Murilo B. Alves
doaj +1 more source
Open systems in classical mechanics [PDF]
Generalized span categories provide a framework for formalizing mathematical models of open systems in classical mechanics. We introduce categories LagSy and HamSy that, respectively, provide a categorical framework for the Lagrangian and Hamiltonian descriptions of open classical mechanical systems.
John C. Baez+2 more
openaire +4 more sources
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Quantum–Classical Mechanics: Nano-Resonance in Polymethine Dyes
It is well known in quantum mechanics that the theory of quantum transitions is based on the convergence of the series of time-dependent perturbation theory. This series converges in atomic and nuclear physics. However, in molecular and chemical physics,
Vladimir V. Egorov
doaj +1 more source
A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials
Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis+3 more
wiley +1 more source
Studies on the classical determinism predicted by A. Einstein, B. Podolsky and N. Rosen
Inthispaper, wecontinuethestudyinitiatedinprecedingworks of the argument by A. Einstein, B. Podolsky and N. Rosen according to which quantum mechanics could be “completed” into a broader theory recovering classical determinism.
Ruggero Maria Santilli
doaj +1 more source