Artículo: AMZ-B0GG4QN9NR

Solid-State Physics Optical Properties of Solids & Optoelectronic Materials With Python: Absorption, Emission, Dispersion, and Gain in Bulk and ... of Solid-State Physics with Python)

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Sobre este producto
  • Optical behavior in solids is the meeting point of Maxwell’s equations, quantum mechanics, and real materials engineering. I wrote this book to be the practical, calculation-first reference I always wanted: a place where optical constants are not treated as mysterious fit parameters, where absorption edges are tied directly to band structure, and where the same core physics cleanly scales from bulk crystals to quantum wells, quantum dots, and full optoelectronic devices.You will move step by step from the complex dielectric function and Fresnel optics to microscopic transition rates, excitons, phonons, plasmons, nonlinear response, and finally the performance limits and design equations behind light emitters and detectors. Along the way, I emphasize what you can compute, what you can measure, and how to connect the two without hand-waving.Inside, you will learn how to:Build and interpret ε(ω), n(ω), k(ω), α(ω), and σ(ω) for real materials, including anisotropy and lossUse Kramers-Kronig relations and optical sum rules to sanity-check spectra and enforce causalityCalculate reflection, transmission, and absorption in thin films and multilayers using Fresnel and transfer-matrix methodsModel free carriers, interband transitions, phonons, and resonances with Drude Lorentz and critical-point line shapesDerive absorption from band structure using dipole matrix elements, selection rules, and the joint density of statesUnderstand direct vs indirect transitions, phonon-assisted absorption, and temperature-driven shifts and broadeningTreat excitons, screening, bandgap renormalization, and strong coupling (polaritons) in a device-relevant wayAnalyze plasmonic response in metals and doped semiconductors, including confinement and damping mechanismsQuantify radiative and nonradiative recombination, optical gain, transparency, and index changes linked to gainEngineer optical properties through quantum confinement, heterostructure band offsets, strain, and polarization fieldsApply second- and third-order nonlinear optics for frequency conversion, Kerr effects, and two-photon processesTranslate material optical response into LED efficiency, laser threshold, photodetector responsivity and noise, and photovoltaic limitsTo make the material usable rather than purely theoretical, every chapter includes:Multiple choice questions that target the common conceptual traps and “gotchas”Practice problems that go beyond plug-and-chug, with fully explained answers so you can see each step and assumptionFull runnable Python code that reproduces key calculations and fits, and that you can adapt to your own material systems (thin-film spectra, Drude Lorentz fitting, KK transforms, rate-equation dynamics, gain spectra, detector metrics, and more)If your goal is to confidently connect measured spectra to physical parameters, or to predict how a material choice will shape optical performance in a real structure, this book is built to get you there with clarity, rigor, and working calculations.
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