linearized-boltzmann-transport

You calculate transport coefficients by inputting your system's dispersion, interaction, and scattering details into a Python framework that computes linearized Boltzmann collision operators. This determines electrical, thermal, or viscosity responses for quantum or classical many-body systems.

Linearized Boltzmann theory is used to compute transport coefficients and analyze eigenmodes in many-body systems. It accurately models transport phenomena and spectral relaxation modes for electrons, phonons, or classical gases based on microscopic scattering models.

Yes, you can analyze eigenmodes and spectral relaxation in quantum systems using Python. The framework examines relaxation modes and their contributions to frequency-dependent behaviors by deriving collision operators from your defined system interactions.

The best way is to compare exact solutions derived from your collision operators against relaxation-time approximations and known physics limits. This validates your scattering models and ensures accurate modeling of transport phenomena.

Yes, you must define system dispersion, interaction, and scattering details to compute electrical and thermal conductivities. Accurate microscopic collision operators are required to determine transport responses for your specific many-body system.