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.
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.
Dr. Amodini Mishra's research expertise lies in the development of advanced along with focuses on understanding the structure-property relationships towards exploring the potential applications in energy, environment, and healthcare.Dr. Sudheesh K. Shukla working the field of translational research and the development of bioelectronic devices for disease detection and environmental applications. His research integrates chemistry (material science) and engineering to advance healthcare and environmental monitoring. Dr. Akhilesh Pandey is a distinguished scientist with expertise in solid-state physics and materials science. Dr. Pandey's research focuses on the development of advanced materials and devices for various applications, including defence, energy, and aerospace. Mr. Virat Dixit is a visionary materials science engineer at the forefront of innovation, bridging the gap between quantum physics and materials science. With his distinctive blend of scientific expertise and industry experience, he continues to drive innovation and excellence in the field of computational materials along with advance technology. Dr. Anju Mishra research primarily concentrates on developing innovative catalysts for sustainable materials which offering environmentally friendly and efficient approach to traditional methods of computational materials. Dr. Avesh Kumar is a dedicated academician and researcher in the field of nanomaterials and photonics along with the traditional computational technology.
