Description

Book Synopsis

Machine Learning’s Emergence in Predictive and Prescriptive Materials Design Modeling.- Recent Advances in Nano-Hybrid Composite Systems: Toward Smart and Sustainable Functional Materials.- Smart Material Design: Integrating Data-Driven Optimization and Complexity Analysis for Next-Generation Materials.- Eco-Innovative Fiber Composites: Utilization of Industrial and Agricultural Waste for Sustainable Structures.- Green Revolution in Composites: A Review on Bio-Based and Agricultural Waste-Derived Composite Materials.- Fuzzy Logic-based Energy-Efficient Trust Evaluation Scheme in Sensor Assisted Industry 4.0.- AI-Driven Terrain Segmentation and Material Interaction Modeling for Extraterrestrial Landings.- Experimental Trial-and-Error Optimization of Microwave-Assisted Fabrication Parameters for Hybrid Laminates: Development and Characterization for Smart Structural Applications.- Recent Research Challenges while Applying Machine Learning in Materials Science.- Emerging Challenges and Future Directions in Multiscale Modelling for Integration of Biology and Materials Design.- Machine Learning in Materials Science: Current Challenges and Future Outlook.

Smart Materials Engineering

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    A Hardback by Ali Ahmadian

    3 in stock


      View other formats and editions of Smart Materials Engineering by Ali Ahmadian

      Publisher: Springer
      Publication Date: 09/03/2026
      ISBN13: 9783032095398, 978-3032095398
      ISBN10:
      Also in:
      Sustainability

      Description

      Book Synopsis

      Machine Learning’s Emergence in Predictive and Prescriptive Materials Design Modeling.- Recent Advances in Nano-Hybrid Composite Systems: Toward Smart and Sustainable Functional Materials.- Smart Material Design: Integrating Data-Driven Optimization and Complexity Analysis for Next-Generation Materials.- Eco-Innovative Fiber Composites: Utilization of Industrial and Agricultural Waste for Sustainable Structures.- Green Revolution in Composites: A Review on Bio-Based and Agricultural Waste-Derived Composite Materials.- Fuzzy Logic-based Energy-Efficient Trust Evaluation Scheme in Sensor Assisted Industry 4.0.- AI-Driven Terrain Segmentation and Material Interaction Modeling for Extraterrestrial Landings.- Experimental Trial-and-Error Optimization of Microwave-Assisted Fabrication Parameters for Hybrid Laminates: Development and Characterization for Smart Structural Applications.- Recent Research Challenges while Applying Machine Learning in Materials Science.- Emerging Challenges and Future Directions in Multiscale Modelling for Integration of Biology and Materials Design.- Machine Learning in Materials Science: Current Challenges and Future Outlook.

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