
Teil der Reihe: Mathematics and Statistics (R0)
Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics
Inhaltsangabe
Dielectric constant and fluctuation formulae for molecular dynamics.- Poisson–Boltzmann electrostatics and analytical approximations.- Numerical methods for Poisson–Boltzmann equations.- Random walk stochastic methods for boundary value problems.- Deep Neural Network for Solving PDEs.- Fast algorithms for long-range interactions.- Fast multipole methods for long-range interactions in layered media.- Maxwell equations, potentials, and physical/artificial boundary conditions.- Dyadic Green’s functions in layered media.- High-order methods for surface electromagnetic integral equations.- High-order hierarchical N´ed´elec edge elements.- Time-domain methods – discontinuous Galerkin method and Yee scheme.- Scattering in periodic structures and surface plasmons.- Schr¨ odinger equations for waveguides and quantum dots.- Quantum electron transport in semiconductors.- Non-equilibrium Green’s function (NEGF) methods for transport.- Numerical methods for Wigner quantum transport.- Hydrodynamic electron transport and finite difference methods.- Transport models in plasma media and numerical methods.
Produktdetails
- Erscheinungsdatum: 02.03.2025
- Autor/Autorin: Wei Cai
- Reihe: Mathematics and Statistics (R0)
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 9.6 MB
- Auflage: Second Edition 2025
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 550 Seiten
- ISBN: 9789819601004
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Herstellerinformationen
Email: ProductSafety@springernature.com











