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Computational Modeling and Digital Twins with AI

by Ant
Save 28% Save 28%
Current price ₹2,422.00
Original price ₹3,379.00
Original price ₹3,379.00
Original price ₹3,379.00
(-28%)
₹2,422.00
Current price ₹2,422.00

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Book cover type: Paperback
  • ISBN13: 9798295450389
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Dr. Ant
  • Publisher Imprint: Dr. Ant
  • Publication Date:
  • Pages: 404
  • Original Price: GBP 25.99
  • Language: English
  • Edition: N/A
  • Item Weight: 540 grams
  • BISAC Subject(s): Artificial Intelligence / Expert Systems

Computational Modeling and Digital Twins with AI

Key Points: Computational Modeling and Digital Twins with AI

  • Definition and Evolution of Digital Twins
  • Core Characteristics of Digital Twins.
  • Value Proposition and Industry Impact
    • Enhanced monitoring, predictive maintenance, and performance optimization.
    • Accelerated design cycles and improved decision-making.
    • Tangible cost savings, increased efficiency, and sustainability benefits across sectors like aerospace, automotive, manufacturing, energy, healthcare, construction, logistics, and agriculture.
  • Model Fidelity and Abstraction
    • Fidelity refers to how accurately the digital twin mirrors its physical counterpart, across geometric, behavioral, state, contextual, and data dimensions.
    • The level of abstraction and granularity is purpose-driven, balancing detail with computational feasibility.
  • Physics-Based and Data-Driven Modeling
    • Physics-based models use fundamental laws (e.g., conservation, constitutive relations) for deterministic, interpretable predictions.
    • Data-driven models leverage empirical data and machine learning to capture complex, real-world behaviors.
    • Hybrid modeling combines both approaches for greater accuracy and adaptability.
  • Physics-Informed Machine Learning (PIML)
    • PIML integrates physical laws into machine learning models, improving generalization, reducing data requirements, and ensuring physically plausible predictions.

Used for complex simulations in fluid dynamics, structural mechanics, and materials science.

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