I've grown very interested in statistical mechanics ever since I took my first course in it. However, it feels like it is just overflowing with many types of problems and plenty of categories to consider.
For example, a quick search of just phase transitions led to this big list:
1-dimensional phase transitions First-order transitions Gas-liquid phase transitions Glass transition Isotropic-nematic phase transition Jamming transition Kosterlitz-Thouless transition Landau theory of second-order phase transitions Liquid-liquid phase transitions Martensitic phase transitions Nematic-smectic phase transition Nonequilibrium phase transitions Order-disorder transitions Quantum phase transitions Second-order transitions Solid-liquid phase transitions Topological phase transitions Vapour-liquid phase transitions
Considering how phase transitions are just an aspect of stat mech and each of these can be applied (at least I suspect) to countless physical systems I think a depth first approach is pretty useless for someone like me at the moment.
The field is just initially so daunting that it seems hard to explore with a roadmap of the interesting features.
My question is:
Are there a good outline of the more complicated side of statistical mechanics that I can use to basically just get a brief introduction to a comprehensive list of terms I'll need to know to effectively add statistical physics to my list of toolkits for solving problems. Extra kudos if this outline includes many examples of physical systems that utilize each model.