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| |  Online-Ressource |
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| Verfasst von: | Cai, Wei [VerfasserIn]  |
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| Titel: | Deterministic, stochastic, and deep learning methods for computational electromagnetics |
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| Verf.angabe: | Wei Cai |
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| Ausgabe: | Second edition |
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| Verlagsort: | Singapore |
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| | Beijing |
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| Verlag: | Springer |
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| | Science Press |
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| Jahr: | 2025 |
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| | [2025] |
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| Umfang: | 1 Online-Ressource (XXIV, 620 Seiten) |
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| ISBN: | 978-981-9601-00-4 |
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| Abstract: | This book provides a well-balanced and comprehensive picture based on clear physics, solid mathematical formulation, and state-of-the-art useful numerical methods in deterministic, stochastic, deep neural network machine learning approaches for computer simulations of electromagnetic and transport processes in biology, microwave and optical wave devices, and nano-electronics. Computational research has become strongly influenced by interactions from many different areas including biology, physics, chemistry, engineering, etc. A multifaceted approach addressing the interconnection among mathematical algorithms and physical foundation and application is much needed to prepare graduate students and researchers in applied mathematics and sciences and engineering for innovative advanced computational research in many applications areas, such as biomolecular solvation in solvents, radar wave scattering, the interaction of lights with plasmonic materials, plasma physics, quantum dots, electronic structure, current flows in nano-electronics, and microchip designs, etc. |
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| DOI: | doi:10.1007/978-981-96-0100-4 |
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| URL: | Resolving-System: https://doi.org/10.1007/978-981-96-0100-4 |
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| | DOI: https://doi.org/10.1007/978-981-96-0100-4 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe: Cai, Wei: Deterministic, stochastic, and deep learning methods for computational electromagnetics. - Second edition. - Cham : Springer Nature, 2025. - xxiv, 620 Seiten |
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| Sach-SW: | COM094000 |
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| | Differential calculus & equations |
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| | Differentialrechnung und -gleichungen |
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| | Electrical engineering |
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| | Elektrotechnik |
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| | MAT041000 |
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| | MATHEMATICS / Differential Equations |
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| | Machine learning |
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| | Maschinelles Lernen |
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| | Mathematical physics |
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| | Mathematische Physik |
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| | Numerical analysis |
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| | Numerische Mathematik |
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| | SCIENCE / Mathematical Physics |
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| | TECHNOLOGY & ENGINEERING / Electrical |
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| K10plus-PPN: | 1918984484 |
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| Lokale URL UB: |  Zum Volltext |
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978-981-9601-00-4
Deterministic, stochastic, and deep learning methods for computational electromagnetics / Cai, Wei [VerfasserIn]; [2025] (Online-Ressource)
69314366
