Roadmap on multiscale materials modeling
Modeling and simulation is transforming modern materials science, becoming an important
tool for the discovery of new materials and material phenomena, for gaining insight into the …
tool for the discovery of new materials and material phenomena, for gaining insight into the …
Machine learning structure preserving brackets for forecasting irreversible processes
Forecasting of time-series data requires imposition of inductive biases to obtain predictive
extrapolation, and recent works have imposed Hamiltonian/Lagrangian form to preserve …
extrapolation, and recent works have imposed Hamiltonian/Lagrangian form to preserve …
The fourth law of thermodynamics: steepest entropy ascent
GP Beretta - … Transactions of the Royal Society A, 2020 - royalsocietypublishing.org
When thermodynamics is understood as the science (or art) of constructing effective models
of natural phenomena by choosing a minimal level of description capable of capturing the …
of natural phenomena by choosing a minimal level of description capable of capturing the …
Diffusion-jump model for the combined Brownian and Néel relaxation dynamics of ferrofluids in the presence of external fields and flow
P Ilg - Physical Review E, 2019 - APS
Relaxation of suspended magnetic nanoparticles occurs via Brownian rotational diffusion of
the particle as well as internal magnetization dynamics. The latter is often modeled by the …
the particle as well as internal magnetization dynamics. The latter is often modeled by the …
Time–energy and time–entropy uncertainty relations in nonequilibrium quantum thermodynamics under steepest-entropy-ascent nonlinear master equations
GP Beretta - Entropy, 2019 - mdpi.com
In the domain of nondissipative unitary Hamiltonian dynamics, the well-known Mandelstam–
Tamm–Messiah time–energy uncertainty relation τ F Δ H≥ ℏ/2 provides a general lower …
Tamm–Messiah time–energy uncertainty relation τ F Δ H≥ ℏ/2 provides a general lower …