Anisotropy of Metamaterials: Beyond Conventional Paradigms
暫譯: 超材料的各向異性：超越傳統範式

Mityushev, Vladimir, Gric, Tatjana, Kycia, Radoslaw

Anisotropy of Metamaterials: Beyond Conventional Paradigms
  • 出版商: CRC
  • 出版日期: 2025-04-29
  • 售價: $5,550
  • 貴賓價: 9.5 折 $5,273
  • 語言: 英文
  • 頁數: 272
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032618000
  • ISBN-13: 9781032618005

    • 尚未上市，無法訂購

相關主題

商品描述

Anisotropy of Metamaterials: Beyond Conventional Paradigms provides a comprehensive introduction to the mathematical modeling of metamaterials based on the macroscopic complex-valued permittivity tensor of dispersed random composites. Key topics include physical and mathematical theory, computer simulations, constructive homogenization, classification of dispersed random composites and their applications in cancer recognition. Image processing and machine learning algorithms are used. The book also discusses the precision of various effective medium approximations, including Bruggeman and Maxwell-Garnett formulas. New analytical, approximate and exact formulas and bounds for the macroscopic permittivity and piezoelectric constants of composites are derived. This book is a valuable tool for academics and professionals in photonics, presenting sustainable materials for sensing, health diagnostics and cancer detection methodologies.

Key features:

  • Offers key insights into the current trends and techniques in the study of the macroscopic properties of metamaterials, aiming at stimulating new avenues of research
  • Presents examples of image analysis, the primary tool for non-destructive metamaterials analysis
  • Discusses the applications of Machine Learning to image processing, illustrated using specific code in Python programming language

商品描述(中文翻譯)

《超材料的各向異性：超越傳統範式》提供了基於分散隨機複合材料的宏觀複數介電常數張量的超材料數學建模的全面介紹。主要主題包括物理和數學理論、計算機模擬、建構均質化、分散隨機複合材料的分類及其在癌症識別中的應用。書中使用了影像處理和機器學習算法。還討論了各種有效介質近似的精確度，包括Bruggeman和Maxwell-Garnett公式。推導了新的分析性、近似性和精確性公式及複合材料的宏觀介電常數和壓電常數的界限。本書對於光子學領域的學術界和專業人士來說，是一個寶貴的工具，提供了可持續材料用於感測、健康診斷和癌症檢測方法。

主要特點：


  • 提供對超材料宏觀特性研究中當前趨勢和技術的關鍵見解，旨在激發新的研究方向

  • 展示影像分析的例子，這是非破壞性超材料分析的主要工具

  • 討論機器學習在影像處理中的應用，並使用Python程式語言中的具體代碼進行說明

作者簡介

Vladimir Mityushev is a professor at the Cracow University of Technology and a leader of the research group at www.materialica.plus. His expertise lies in the fields of mathematical modeling, computer simulations, porous media, permeability, diffusion, effective properties of composites with deterministic and random structures, representative volume elements, biomathematics, bioinformatics and industrial mathematics.

Professor Tatjana Gric has been engaged in the investigation of waveguide devices (waveguide modulators, filters, etc.), namely in proposing their electrodynamical analysis, since 2009. Another major goal of her studies is plasmonics as the examination of the interaction between electromagnetic field and free electrons in a metal. During the past few years, she has been working on the investigation of nanostructured composites and their fascinating properties. She has authored and co-authored over 70 articles in refereed journals and conference proceedings. She also holds a 1LT patent.

Radoslaw Kycia is Head of the Computer Science Division at the Faculty of Computers Science and Telecommunications at the Tadeusz Kościuszko Cracow University of Technology. He specializes in multidisciplinary research involving computer science, physics and mathematics. Currently, he is interested in machine learning and data analysis.

Natalia Rylko is an Associate Professor at the Cracow University of Technology. Her academic and scientific endeavors revolve around interdisciplinary research encompassing physics, material science, computer simulations and machine learning. Her primary field lies in the study of the effective properties of composites and their wide-ranging applications within the field of material sciences.

作者簡介(中文翻譯)

弗拉基米爾·米丘舍夫是克拉科夫科技大學的教授，也是 www.materialica.plus 研究小組的負責人。他的專業領域包括數學建模、計算機模擬、多孔介質、滲透性、擴散、具有確定性和隨機結構的複合材料的有效性質、代表性體積元素、生物數學、生物信息學和工業數學。

塔季揚娜·格里奇教授自2009年以來一直從事波導裝置（波導調製器、濾波器等）的研究，特別是提出其電動力學分析。她研究的另一個主要目標是等離子體學，旨在檢查電磁場與金屬中自由電子之間的相互作用。在過去幾年中，她一直在研究納米結構複合材料及其迷人的特性。她已在同行評審的期刊和會議論文集中發表了70多篇文章，並擁有一項1LT專利。

拉多斯瓦夫·基恰是塔德烏什·科希丘斯科克拉科夫科技大學計算機科學與電信系的系主任。他專注於涉及計算機科學、物理學和數學的多學科研究。目前，他對機器學習和數據分析感興趣。

娜塔莉亞·瑞爾科是克拉科夫科技大學的副教授。她的學術和科學工作圍繞著跨學科研究，涵蓋物理學、材料科學、計算機模擬和機器學習。她的主要研究領域是複合材料的有效性質及其在材料科學領域的廣泛應用。

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