Full Description
This book presents an overview of how AI is transforming materials science to meet the challenges of everyday life and across various technological domains. The author delves into various AI techniques such as machine learning, deep learning, and data-driven approaches, showcasing their application in materials discovery, characterization, and property prediction. As a reference, the book provides researchers and academicians established, state-of-the-science insights into the integration of AI with computational methods like molecular dynamics simulations, density functional theory calculations, and multiscale modelling, enhancing accuracy and efficiency in material research. In addition, the book highlights the successful applications of AI in optimizing material performance, accelerating materials development cycles, and enabling novel discoveries in the fields ranging from energy to environment materials. Artificial Intelligence in Computational Materials Science: Methods and Applications serves as a vital resource for researchers, engineers, and students interested in harnessing the potential of AI's for the advancement of materials science, innovating across industries, and addressing complex scientific challenges.
Contents
AI Tools: An Introduction.- Identification of Charged Kaons in PHENIX Detector at RHIC.- An Insight on Feature Extraction Techniques for Image Processing.- Enhancing the Security and Performance of Watermarking Techniques using Machine Learning.- Bi-LSTM based attention model with efficient tokenization for News Article Summarization.- IoT, A Driving Force to Connected Things: Issues and Challenges.- A Review of the Use of Machine Learning Algorithms to Handle Big Data Classification Problem..- COVID-19 diagnosis using AI Deep Enhanced Res Net model from Chest X-ray images.- AI Deep Learning CNN and Machine Learning SVM for Elderly Care.- User Authentication by Free-text using Deep Learning.- Boosting Learning Disability Prediction Accuracy: A Comparative Analysis of Machine Learning Models and Hyperparameter Tuning Techniques.- Weldment Characteristics of Aluminium Matrix Composites Welded by Advanced Welding Technique: A Review.- Optimizing Decision Tree Classifier for Multi-class Cassification in Bank ataset for Improving the Performance Metrics .- Waste heat recovery potential of VCR engine: Alcohol-Diesel blend.- A Two Stage Image Denoising Using Superpixel Algorithm.- Energy Evaluation and Performance using time depended Fuzzy Logic Base Algorithm in Distributed Computing 5G Networks.- Implementation of an Intelligent Controller for Optimal Location and Sizing of DGs in a Radial Distribution System.- Optimization of MANET Routing Protocol using Radial Basis Functions (RBF).- Accurate Estimation of Parameters of Interest of a Rapid Prototyped Part Using XGBoost Machine Learning Algorithms.- Intrusion detection system in cyberattacks: A Review.- An approch to Evaluate the Accessibility and inclusion of public Space.- Video highlights generation using Short Time Energy and KeyFrame Extraction.- CustomeRise :- Marketing Enhancement using customer segmentation in Flask and K-Means workflow in Python.- Exploring End-User Adoption of Blockchain Technology for Online Payments: An empirical Study.-Relevance and Management of Sustainable Nature in Ancient Indian Scripters in Present Scenario.
