Description
Book SynopsisTopological indices-based vector representation of graphs.- Toxicity Prediction Using Convolutional Neural Networks: A Study of Deep Learning Approach.- AI and ML in Polymer Science: Enhancing Material Informatics through Predictive Modelling.- Transforming Carbon-Based Material: The Role of AI and ML Regression Techniques in Material Science.- Physics Informed Neural Networks: Fundamentals & Application to Phase Field Models.- Application of AI to help leverage Density Functional Theory computations in Materials Informatics.- XAI Approaches in Genetic Biomaterial Analysis.- AI-Driven Robotic Solutions in Material Engineering.- Implications of high-entropy energy materials in healthcare, environment and agriculture, along with the applications of artificial intelligence.- Advancements in Agricultural Materials: Machine Learning Models for Precision Fertilizer Prediction.
