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20212026
most citedEvolution of hybrid quantum-classical wavefunctions

20 citations · 37 across the 11 of their papers we have counts for

collaborators

11 papers

physics.chem-ph2026

Quantum-classical solvation hydrodynamics: a Hamiltonian modeling framework

François Gay-Balmaz, Cesare Tronci

We propose a mixed quantum-classical hydrodynamic framework to model short-time inertial effects in the non-adiabatic evolution of a quantum solute coupled to a classical polar sol…

cond-mat.stat-mech2025

Variational formulation of stochastic thermodynamics: Finite-dimensional systems

Héctor Vaquero del Pino, François Gay-Balmaz, Hiroaki Yoshimura +1

In this paper, we develop a variational foundation for stochastic thermodynamics of finite-dimensional, continuous-time systems. Requiring the second law (non-negative average tota…

math-ph2025

A Variational Principle for Extended Irreversible Thermodynamics: Heat Conducting Viscous Fluids

François Gay-Balmaz

Extended irreversible thermodynamics is a theory that expands the classical framework of nonequilibrium thermodynamics by going beyond the local-equilibrium assumption. A notable e…

quant-ph2025★ 1 cited

Entropy functionals and equilibrium states in mixed quantum-classical dynamics

Cesare Tronci, David Martínez-Crespo, François Gay-Balmaz

The computational challenges posed by many-particle quantum systems are often overcome by mixed quantum-classical (MQC) models in which certain degrees of freedom are treated as cl…

math.NA2023★ 3 cited

Koopmon trajectories in nonadiabatic quantum-classical dynamics

Werner Bauer, Paul Bergold, François Gay-Balmaz +1

In order to alleviate the computational costs of fully quantum nonadiabatic dynamics, we present a mixed quantum-classical (MQC) particle method based on the theory of Koopman wave…

cs.LG2023★ 1 cited

Lie-Poisson Neural Networks (LPNets): Data-Based Computing of Hamiltonian Systems with Symmetries

Christopher Eldred, François Gay-Balmaz, Sofiia Huraka +1

An accurate data-based prediction of the long-term evolution of Hamiltonian systems requires a network that preserves the appropriate structure under each time step. Every Hamilton…