Publication

Which form of the molecular Hamiltonian is the most suitable for simulating the nonadiabatic quantum dynamics at a conical intersection?

Publications associées (34)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Fabio Nobile, Eleonora Musharbash

In this paper we propose a dynamical low-rank strategy for the approximation of second order wave equations with random parameters. The governing equation is rewritten in Hamiltonian form and the approximate solution is expanded over a set of

2S

dynamica ...

2017

Which form of the molecular Hamiltonian is the most suitable for simulating the nonadiabatic quantum dynamics at a conical intersection?

Graph Chatbot

Chattez avec Graph Search

Efficient geometric integrators for nonadiabatic quantum dynamics. I. The adiabatic representation

Efficient geometric integrators for nonadiabatic quantum dynamics. II. The diabatic representation

A Fourier-accelerated volume integral method for elastoplastic contact

Dynamical Low Rank approximation of PDEs with random parameters

Structure preserving model reduction of parametric Hamiltonian systems

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters

The role of numerical integration in numerical homogenization

Pipelined Numerical Integration on Reduced Accuracy Architectures for Power System Transient Simulations

Measuring nonadiabaticity of molecular quantum dynamics with quantum fidelity and with its efficient semiclassical approximation

Efficient geometric integrators for nonadiabatic quantum dynamics. I. The adiabatic representation

Structure preserving model reduction of parametric Hamiltonian systems

A Fourier-accelerated volume integral method for elastoplastic contact

Dynamical Low Rank approximation of PDEs with random parameters

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters

The role of numerical integration in numerical homogenization

Pipelined Numerical Integration on Reduced Accuracy Architectures for Power System Transient Simulations

Measuring nonadiabaticity of molecular quantum dynamics with quantum fidelity and with its efficient semiclassical approximation

Efficient geometric integrators for nonadiabatic quantum dynamics. II. The diabatic representation