Solid-State Physics Condensed Matter With Python: From Crystal Symmetry to Many Body Theory with Worked Problems and Python (Mathematical Foundations of Solid-State Physics with Python)
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Paperback
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1.38 kg
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Amazon
USA
- Solid state physics becomes genuinely useful when you can move from a crystal structure to a working model, from a Hamiltonian to measurable response, and from a formal derivation to a computation you can run and trust. I wrote this book to be that bridge. Every topic is built from the mathematical ideas that actually power modern condensed matter: lattice geometry and duality, Fourier analysis on periodic structures, symmetry and representations, perturbation methods, semiclassical dynamics, linear response, and many body techniques.You will start with the language of crystals and reciprocal space, then develop band theory through nearly free electron, tight binding, Wannier functions, and k·p expansions. From there the book progresses naturally into phonons and lattice thermodynamics, electron phonon coupling, screening and plasmons, and the core machinery of interacting systems: second quantization, Green’s functions, Dyson equations, and controlled approximations that explain when and why quasiparticles work. The later chapters connect these foundations to the physics that drives today’s research and technology, including superconductivity, disorder and localization, and topological band theory with Berry curvature and quantized response.I have kept the presentation derivation first, but never abstract for its own sake. Each chapter includes:Multiple choice questions to verify core concepts and common pitfallsPractice problems that build real problem solving skill, with fully explained answersFull, runnable Python code to implement the methods and reproduce the calculations, then adapt them to new lattices, parameters, and materials modelsIf you want a single, rigorous path from the mathematics to the models used in real condensed matter work, this book is written for you.
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