Abstract
We present a first-principle based approach that leads from a many-particle description to a nonlinear, stochastic constitutive relation for the modeling of transient heat conduction processes at the nano-mechanical scale. By enforcing statistical consistency, in that the statistics of local energy is consistent with that from an all-atom description, we identify the driving force as well as the model parameters in these generalized constitutive models. The connections to established generalized constitutive relations, including Cattaneo-Vernotte-type models, will be demonstrated.
Original language | English (US) |
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Pages (from-to) | 533-549 |
Number of pages | 17 |
Journal | Multiscale Modeling and Simulation |
Volume | 19 |
Issue number | 1 |
DOIs | |
State | Published - 2021 |
All Science Journal Classification (ASJC) codes
- Chemistry(all)
- Modeling and Simulation
- Ecological Modeling
- Physics and Astronomy(all)
- Computer Science Applications