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Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics

Name: Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics
Brand: Springer, Berlin
SKU: 46638717
Price: 173.46 EUR
Availability: InStock
Author: Wei Cai
ISBN: 9789819600991

Wei Cai

Language

English

Book Hardback

Libristo code: 46638717

Publishers Springer, Berlin, April 2025

This book provides a well-balanced and comprehensive picture based on clear physics, solid mathemati... Full description

Libristo code: 46638717

423 b

173.46 €

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This book provides a well-balanced and comprehensive picture based on clear physics, solid mathematical formulation, and state-of-the-art useful numerical methods (deterministic, stochastic, deep neural network machine learning) 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 interaction from many different areas including biology, physics, chemistry, engineering, etc. A well-balanced approach addressing the interconnection among mathematical algorithms (in deterministic, stochastic and machine learning approaches) 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 electrons in metallic materials, quantum dots, electronic structure, current flows in nano-electronics, and microchip designs, etc.