{"product_id":"artificial-intelligence-for-materials-informatics-9783031899829","title":"Artificial Intelligence for Materials Informatics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: Aptos; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-IN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eTopological 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 \u0026amp; 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.\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195472994647,"sku":"9783031899829","price":170.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/artificial-intelligence-for-materials-informatics-9783031899829","provider":"Book Curl","version":"1.0","type":"link"}