Session proposals and suggested content

  1. Thermodynamics and multiscale dynamics: Thermodynamical characterisation of instabilities/bifurcations etc in non-equilibrium systems. Thermodynamic methods of reduction, e.g. from kinetic theory to fluid mechanics, memory effects, etc.
  2. How to teach thermodynamics: There are so many approaches. Does anybody have a good one? Approaches suitable for engineers.
  3. Thermodynamics and geometry: Some theories are geometric while some not. Does geometry bring any added value? What could be geometrically/algebraically proper realizations of variational principles for irreversible processes? What could be the advantages to have such pictures? Possible geometric approaches to thermodynamics.
  4. Thermodynamics and quantum physics: Does thermodynamics play a role in the quantum world? Two-state quantum heat engines, quantum ratchets and molecular Maxwell daemons, etc.
  5. Thermodynamics and relativity: For instance, black holes are said to have an entropy. Is this the entropy that we deal with usually? Relativistic dynamical theories, kinetic theory, viscous flows, Eckart and Landau frames, hyperbolicity and causality, etc. What is the role of energy in relativity? How to include memory effects?
  6. Rigorous mathematics and thermodynamics: What does mathematics (rigorous analysis of ordinary and partial differential equations, dynamical systems, etc.) bring? For instance, parabolic vs. hyperbolic – should we care about the existence and regularity of solutions, about finite speed of signal propagation or Galilean invariance?
  7. Thermodynamics of diffusion and porous media: Theories of diffusion, thermodynamic restrictions and implications. Non-Fickian diffusion. Transport in porous media. Fractional calculus and Brownian motion. Self-diffusion and its macroscopic manifestation.
  8. Contribution of thermodynamics to efficiency and optimization: Sustainability and environment. Finite time thermodynamics, exergy, entropy production. How is it possible to optimize thermodynamic processes or combinations of such processes with the intent to maximize/minimize the output? What are the limits to such optimization, which paths should be taken, and are there reasonable constraints to be applied (cost, bulk, complexity, etc.).
  9. Computation of thermodynamic properties: Molecular simulation or equation of state? Monte Carlo or molecular dynamics? And what about statistical mechanics, cluster expansions, etc. Perhaps even machine learning?
  10. Driven (externally and internally) systems, boundary conditions and interfaces (spatial coupling of models): How far can a given framework go? How to tackle open systems in thermodynamics?
  11. Thermodynamics in social sciences (e.g. in economy): Does it work and why? Is it by analogy, what does analogy means? Are there universal laws that apply to all sciences? Does thermodynamics provide such laws?
  12. Solid mechanics and thermodynamics: Lagrangian vs Eulerian approach. Modeling of fractures, dislocations, anisotropy, memory, pre-stress, yield stress, damage, soft matter, etc.
  13. Engineering thermodynamics: Applications of thermodynamics in engineering, machinery, aerodynamics, chemical engineering, electrochemistry.
  14. Heat transfer and superfluids: How to properly describe heat transfer in various materials at various scales. Relations to superfluid models, one‑component and two‑component, HVBK, vortex‑filament method.
  15. Experimental thermodynamics: How to measure thermodynamic quantities. Construction of thermodynamic data sets.
  16. Kinetic theory and thermodynamics: Models for rarefied, dense and interacting charged gases. Solutions to the Bolzmann equation, Grad hierarchy, lattice Boltzmann method. Reduction to the hydrodynamic fields. Mathematical results on the regularity. Landau damping.
Please note that only sessions with sufficient number of submitted abstracts will open.