Theoretical and Computational Materials Science: Advances and Applications

Herausgegeben:Mishra, Amodini; Sharma, Ajit Kumar; Shukla, Sudheesh K.; Mishra, Anju; Dixit, Virat

• Gebundenes Buch

Produktbeschreibung

This volume provides a comprehensive introduction to computational materials science, focusing on both fundamental theory and practical applications. The book serves as an essential resource for the researchers working at the intersection of materials science and practical computational techniques. The authors present an in-depth examination of the theoretical principles that govern the behaviour and properties of materials in the context of computational analysis, providing a strong connection to the research areas of quantum mechanics, statistical mechanics, and thermodynamics. The book serves as a platform for the materials community interested in the transition to computational methodologies, detailing state-of-the-art simulation and modelling techniques like density functional theory, molecular dynamics, and finite element analysis.

Produktdetails

• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89559640, 978-3-032-04318-4
• Seitenzahl: 465
• Erscheinungstermin: 2. Dezember 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032043184
• ISBN-10: 3032043182
• Artikelnr.: 74998534

Inhaltsangabe

Molecular Simulation Approaches to Elucidate the Structure and Antimicrobial Mechanisms of Amphipathic Helical Peptides.- Emission property of grey particle emerged in the interreact of 84Kr36+Em interaction.- Gamma Radiation and Its Influence on Fibre Modified Concrete.- Image-Based Estimation of Surface Roughness in Monel K-500 Using Stationary Wavelet Transform.- Detecting Media Access Control Address Randomization and Its Impact on Internet of Things Devices.- IoT-Based Smart Rail-Gate Safety Alert System for Accident Prevention and Real-Time Monitoring.- Precision Soil Analysis Made Affordable with Electrochemical Sensors.- Violence Detection Based on Multisource CNN with Handcraft features.- Artificial Intelligence, Quantum Tools, and the Ethics of Smart Biomedical Materials.- Integrative Machine Learning Approaches for Pulmonary Health Prediction Using Demographic, Cardiopulmonary Parameters.- Enhanced Relief-F Based Violence Detection in Primary Schools Using Multi-Sensor Fusion.- Fire and Gas Leakage Detection Using Arduino.- Fake News Classification with Logistic Regression and Transformer-Based Techniques.- Modern Radiation Therapy Techniques for Measurements of Ultraviolet Radiation.- Artificial Intelligence and Cloud Computing based Model and Design of E-Vehicles Integrated with Wireless Technology and Sensors.- Dynamic Data Transmission with New Routing Protocols For Network Lifetime Enhancement.- A Computational Study for Structural Attributes of Ternary Calcium Chalcogenide Alloys: A First Principal Approach.- Design and Analysis of Harmonic Filters for Nonlinear Electrical Loads and Power Quality Measurement.- A Robust Dual-Stage Enhancement Method for Accurate Mass Detection in Mammograms.- Dynamic Economic Load Dispatch for Thermal and Wind Generator with Ramp, Reserve Constraints.- AI and Computational Modeling for Advanced Therapeutic Systems: From Design to Biological Targeting.- Advancements in Heat Exchanger Performance: Strategies and Applications for Enhanced Efficiency.- A Synergistic Hybrid Algorithm of Modified Perturb and Observe and Particle Swarm Optimization for Advancing Photovoltaic System Efficiency.- Finite Element Method Analysis of Photonic Crystal Fiber Based Biosensor design for Refractive Index Sensing.