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Books on the topic 'Physics-based modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

1944-, Gottstein G., ed. Integral materials modeling: Towards physics-based through-process models. Wiley-VCH, 2007.

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2

1948-, Gray William G., and American Society of Civil Engineers. Committee on Environmental Effects., eds. Physics-based modeling of lakes, reservoirs, and impoundments: A report. American Society of Civil Engineers, 1986.

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3

International Workshop on Physics and Computer Modeling of Devices Based on Low-Dimensional Structures (1995 Aizu-Wakamatsu, Japan). International Workshop on Physics and Computer Modeling of Devices Based on Low-Dimensional Structures: November 7-9, 1995, Aizu-Wakamatsu, Japan : proceedings. IEEE Computer Society Press, 1996.

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4

Wilson, Nigel H. M. Schedule-Based Dynamic Transit Modeling: theory and applications. Springer US, 2004.

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5

Doornbos, Richard. From scientific instrument to industrial machine: Coping with architectural stress in embedded systems. Springer Netherlands, 2012.

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6

Niazi, Muaz A. Cognitive Agent-based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods. Springer Netherlands, 2013.

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7

Dam, Koen H. Agent-Based Modelling of Socio-Technical Systems. Springer Netherlands, 2013.

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8

Integral Materials Modeling: Towards Physics-Based Through-Process Models. Wiley-VCH, 2007.

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9

Gottstein, Günter. Integral Materials Modeling: Towards Physics-Based Through-Process Models. Wiley & Sons, Incorporated, John, 2007.

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10

Gottstein, Günter. Integral Materials Modeling: Towards Physics-Based Through-Process Models. Wiley & Sons, Limited, John, 2007.

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11

Integral materials modeling: Towards physics-based through-process models. Wiley-VCH, 2005.

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12

National Aeronautics and Space Administration (NASA) Staff. Algorithms and Object-Oriented Software for Distributed Physics-Based Modeling. Independently Published, 2018.

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13

Lattery, Mark J. Deep Learning in Introductory Physics: Exploratory Studies of Modeling-Based Reasoning. Information Age Publishing, Incorporated, 2017.

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14

Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems. Taylor & Francis Group, 2023.

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15

Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems. CRC Press LLC, 2023.

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16

Japan) International Workshop on Physics and Computer Modeling of Devices Based on Low-Dimensional Structures (1995 : Aizu-Wakamatsu. International Workshop on Physics and Computer Modeling of Devices Based on Low-Dimensional Structures: November 7-9, 1995 Aizu-Wakamatsu, Japan. Institute of Electrical & Electronics Enginee, 1996.

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17

IEEE Computer Society. Proceedings of the Workshop on Physics-Based Modeling in Computer Vision: June 18-19, 1995 Cambridge, Massachusetts. IEEE Computer Society Press, 1995.

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18

Proceedings: Second International Workshop on Physics and Modeling of Devices Based on Low-Dimensional Structures : March 12-13, 1998, Aizu-Wakamatsu, Japan. Ieee Computer Society, 1998.

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19

Nardmann, Tobias. Physics-Based Compact Modeling and Parameter Extraction for Inp Heterojunction Bipolar Transistors with Special Emphasis on Material-Specific Physical Effects and Geometry Scaling. Books on Demand GmbH, 2017.

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20

Introduction to Physical Oncology: How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes. Taylor & Francis Group, 2017.

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21

Wang, Zhihui, Vittorio Cristini, and Eugene Koay. Introduction to Physical Oncology: How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes. Taylor & Francis Group, 2017.

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22

Wang, Zhihui, Vittorio Cristini, and Eugene Koay. Introduction to Physical Oncology: How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes. Taylor & Francis Group, 2017.

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23

MATLAB-Based Finite Element Programming in Electromagnetic Modeling. Taylor & Francis Group, 2018.

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24

Özgün, Özlem, and Mustafa Kuzuoğlu. MATLAB-Based Finite Element Programming in Electromagnetic Modeling. Taylor & Francis Group, 2018.

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25

Özgün, Özlem, and Mustafa Kuzuoğlu. MATLAB-Based Finite Element Programming in Electromagnetic Modeling. Taylor & Francis Group, 2018.

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26

Özgün, Özlem, and Mustafa Kuzuoğlu. MATLAB-Based Finite Element Programming in Electromagnetic Modeling. Taylor & Francis Group, 2018.

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27

Gao, Yanhong, and Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.

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The modeling of climate over the Tibetan Plateau (TP) started with the introduction of Global Climate Models (GCMs) in the 1950s. Since then, GCMs have been developed to simulate atmospheric dynamics and eventually the climate system. As the highest and widest international plateau, the strong orographic forcing caused by the TP and its impact on general circulation rather than regional climate was initially the focus. Later, with growing awareness of the incapability of GCMs to depict regional or local-scale atmospheric processes over the heterogeneous ground, coupled with the importance of t

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28

Metaxas, Dimitri N. Physics-based modelling of nonrigid objects for vision and graphics. 1993.

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29

House, Donald, and John C. Keyser. Foundations of Physically Based Modeling and Animation. Taylor & Francis Group, 2020.

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30

House, Donald, and John C. Keyser. Foundations of Physically Based Modeling and Animation. CRC Press LLC, 2016.

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31

House, Donald, and John C. Keyser. Foundations of Physically Based Modeling and Animation. CRC Press LLC, 2016.

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32

House, Donald, and John C. Keyser. Foundations of Physically Based Modeling and Animation. CRC Press LLC, 2016.

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33

House, Donald, and John C. Keyser. Foundations of Physically Based Modeling and Animation. CRC Press LLC, 2016.

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34

Foundations of Physically Based Modeling and Animation. A K Peters/CRC Press, 2016.

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35

Doornbos, Richard, and Sjir van Loo. From scientific instrument to industrial machine: Coping with architectural stress in embedded systems. Springer, 2012.

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36

Atiqi, Muhammad Al. Echo Chamber and Polarization in Social Media: An Agent-Based Modeling Approach. Springer, 2023.

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37

Huang, Yu, Zili Dai, and Weijie Zhang. Geo-disaster Modeling and Analysis: An SPH-based Approach. Springer, 2016.

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38

Huang, Yu, Zili Dai, and Weijie Zhang. Geo-Disaster Modeling and Analysis: An SPH-based Approach. Springer, 2014.

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39

Geo-Disaster Modeling and Analysis: An Sph-Based Approach. Springer Berlin / Heidelberg, 2014.

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40

Zaitsev, Fedor, and Vladimir Bychkov. Mathematical modeling of electromag-netic and gravitational phenomena by the methodology of continuous media mechanics. LCC MAKS Press, 2021. http://dx.doi.org/10.29003/m2011.978-5-317-06604-8.

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The book of well-known Russian scientists systematically presents a new theoretical approach to studying nature's fundamental phenomena using the hypothesis of the physical vacuum, or the ether, as some environment in which all the processes develop. In the proposed studies, the ether is represented as some one-component continuous media that satisfies generally accepted conservation laws: of matter and momentum. From the appropriate two equations, a number of consequences are obtained to which a physical interpretation is given. For the first time, 150 years after studies of Faraday and Maxwe

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41

Lukszo, Zofia, Koen H. Dam, and Igor Nikolic. Agent-Based Modelling of Socio-Technical Systems. Springer, 2012.

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42

Lelevkin, V. М. LINEAR AND NON-LINEAR EQUATIONS OF PHYSICS. Lectures and practical classes. A short course. Publishing house of KRSU, 2023. http://dx.doi.org/10.36979/978-9967-19-916-3-2022.

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The book presents a short course of lectures and classes on the discipline “Linear and non-linear equations of Physics” for students of natural and technical faculties. It includes examples of various physical phenomena investigation based on differential equations solution. The course includes a classification of second-order partial differential equations from two independent variables and a methodology of their canonicalization. Much attention is paid to boundary value problems for hyperbolic, parabolic and elliptic types, to methodology of the given equations solution and a physical interp

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43

Coveney, Peter V., and Shunzhou Wan. Molecular Dynamics: Probability and Uncertainty. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780198893479.001.0001.

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Abstract This book explores the intersection of molecular dynamics (MD) simulation with advanced probabilistic methodologies to address the inherent uncertainties in the approach. Beginning with a clear and comprehensible introduction to classical mechanics, the book transitions into the probabilistic formulation of MD, highlighting the importance of ergodic theory, kinetic theory, and unstable periodic orbits, concepts which are largely unknown to current practitioners within the domain. It discussed ensemble-based simulations, free energy calculations and the study of polymer nanocomposites

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