{"product_id":"materials-informatics-ii-ebook","title":"Materials Informatics II","description":"\u003cp\u003ePart 1. Introduction.- Introduction to Machine Learning for Predictive Modeling I.- Introduction to Machine Learning for Materials Property Modeling.- Part 2. Cheminformatic and Machine Learning Models for Nanomaterials.- Machine learning models to study electronic properties of metal nanoclusters.- Applications of Machine Learning Predictive Modeling for Carbon Quantum Dots.- Assessing the toxicity of quantum dots in healthy and tumoral cells with ProtoNANO, a platform of nano-QSAR models to predict the toxicity of inorganic nanomaterials.- Applications of predictive modeling for fullerenes.- Computational Analysis of Perovskite Materials AlXY3 (X = Cu, Mn; Y = Br, Cl, F) invoking the DFT Method.- Applications of predictive modeling for dye-sensitized solar cells (DSSCs).- Introduction to multiscale modeling for One Health approaches.- DIAGONAL Decision Support System (DSS) for Advanced Nanomaterial Risk Management powered by Enalos Cloud Platform.- Part 3. Software Tools and Databases for Applications in Materials Science.- Machine Learning algorithms, tools, and databases for applications in Materials Science.- Machine Learning-Driven Web Tools for Predicting Properties of Materials and Molecules.\u003c\/p\u003e","brand":"Kunal Roy","offers":[{"title":"Default Title","offer_id":53652361085255,"sku":"9783031787287","price":234.33,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/materials-informatics-ii-ebook-cover.webp?v=1775356595","url":"https:\/\/www.cinebuch.de\/products\/materials-informatics-ii-ebook","provider":"CineBuch","version":"1.0","type":"link"}