SKU/Artículo: AMZ-B0DDY4M1LV
Semiconductor Physics Modeling Advanced Techniques (Engineering the Future with Python: Semiconductors)
Format:
Hardcover
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.38 kg
0.38 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- In "Semiconductor Physics Modeling Advanced Techniques," experts in the field explore the latest advancements in modeling electronic structures, dynamic processes, and excited states in semiconductors. Through a combination of theoretical concepts and practical applications, readers will gain a deep understanding of quantum mechanical models, molecular dynamics simulations, and Monte Carlo simulations for semiconductor charge transport. What You Will Learn: - Master density functional theory and its applications in modeling electronic structures. - Utilize many-body perturbation theory, such as the GW approximation, to explore semiconductors. - Understand time-dependent DFT for modeling dynamic processes and excited states. - Explore molecular dynamics simulations to gain insights into atomic-scale processes in semiconductor materials. - Apply Monte Carlo simulations for stochastic modeling of semiconductor charge transport. - Utilize Green's function techniques for studying electronic correlations and transport. - Model fluid-like behavior of electron flow at the nanoscale using quantum hydrodynamic models. - Harness the power of machine learning for predictive modeling in semiconductor physics. - Investigate topological insulators and their unique electronic properties. - Gain insights into spin-orbit coupling and its role in modern semiconductor materials. - Combine DFT with other methods to enhance modeling accuracy with hybrid functional methods. - Tackle systems with significant electron correlations using advanced techniques for strongly correlated electron systems. - Gain a deep understanding of mobility in semiconductors with impurities and defects in disordered systems. - Examine electromagnetic wave scattering and its interaction with semiconductor nanostructures. - Model and simulate nonlinear optical phenomena in semiconductors. - Explore advanced techniques for modeling thermal properties via phonons in phonon transport models. - Discover cutting-edge approaches to manage heat in densely packed devices with nanoscale thermal management techniques. - Dive into modeling the unique electronic properties of complex oxide materials. - Investigate materials that combine superconductivity with semiconducting properties in superconducting semiconductors. - Model materials suitable for quantum computing applications in quantum computing materials. - Explore nanofabrication methods through modeling and simulation of top-down lithographic techniques. - Discover the semiconducting properties of two-dimensional materials like graphene. - Investigate the electron valley degree of freedom and its role in information processing in valleytronics. - Gain insights into electron and optical properties in quantum dots through modeling. - Explore advancements in device modeling for nanoscale electronics in semiconductor nanoelectronics. - Analyze electromagnetic waves propagating along surfaces with surface plasmon polaritons. - Investigate quantum phenomena at low temperatures and high magnetic fields with the quantum Hall effect. - Learn about unconventional transport mechanisms in novel semiconductor materials in anomalous transport phenomena. - Harness the power of neuromorphic computing materials that mimic neural processes for computing. - Explore the long-lived conductivity changes upon light exposure with persistent photoconductivity. - Understand mechanical properties and failure mechanisms under stress with fracture mechanics in semiconductors. - Gain insights into quantum decoherence and its implications for semiconductors in quantum technologies. - Discover advances in modeling materials for improved semiconductor components with high-K dielectrics.
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AR$175.935
60% OFF
AR$70.377
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