{"product_id":"9789819526598","title":"Materials Horizons: From Nature to Nanomaterials: From Basics to Algorithm Implementation","description":"\u003ch1\u003eMaterials Horizons: From Nature to Nanomaterials: From Basics to Algorithm Implementation\u003c\/h1\u003e \u003ch2\u003eGupta, Kritesh Kumar; Dey, Sudip; Mukhopadhyay, Tanmoy\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan class=\"TextRun SCXW244230385 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan class=\"NormalTextRun SCXW244230385 BCX0\"\u003eThis book provides a comprehensive overview of data-driven nano-scale characterization of materials. It covers the concept of accelerated computational characterization of nano-materials by individually addressing the detailed understanding of molecular dynamics simulation, machine learning\u003c\/span\u003e\u003c\/span\u003e\u003cspan class=\"TrackedChange SCXW244230385 BCX0\"\u003e\u003cspan class=\"TextRun SCXW244230385 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan class=\"NormalTextRun SCXW244230385 BCX0\"\u003e,\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan class=\"TextRun SCXW244230385 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan class=\"NormalTextRun SCXW244230385 BCX0\"\u003e and interface of molecular dynamics and machine learning for establishing the foundation of materials\u003c\/span\u003e\u003c\/span\u003e \u003cspan class=\"TextRun SCXW244230385 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan class=\"NormalTextRun SCXW244230385 BCX0\"\u003einformatics. It further presents a methodology for integrating molecular simulation with computationally efficient machine learning methods. The book aims to present a comprehensive understanding of the synergy between atomistic simulations and data-driven descriptive analytics. The contents of the book are presented as end-to-end projects for solving a specific problem associated with the structural application of the materials and challenges in performing large-scale molecular dynamics simulations. The proposed book emphasizes on the successful application of machine learning driven molecular dynamics simulation framework in studying low-dimensional and high-dimensional materials, as well as high entropy alloys. It also explores force-field mode\u003c\/span\u003e\u003c\/span\u003e\u003cspan class=\"TextRun SCXW244230385 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"\u003e\u003cspan class=\"NormalTextRun SCXW244230385 BCX0\"\u003eling, optimization strategies, uncertainty quantification, sensitivity analysis, and the essential programming skills needed for materials informatics. Readers can expect to explore a range of exciting topics, including a detailed overview of molecular dynamics simulation, the intricate interface between machine learning and simulation techniques, and a data-driven approach to understanding low-dimensional materials. The book offers a comprehensive understanding of data analytics in materials characterization and subsequent data visualization. The computational framework proposed in the book will be useful in envisioning the bottom-up design pathway for harnessing the physical characteristics of materials systems.\u003c\/span\u003e\u003c\/span\u003e\u003cspan class=\"EOP SCXW244230385 BCX0\" data-ccp-props='{\"201341983\":0,\"335559740\":276}'\u003e \u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-10-31\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9789819526598\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-981-95-2660-4\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 116\u003c\/p\u003e ","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":44422001492108,"sku":"9789819526598","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819526598.jpg?v=1773311890","url":"https:\/\/lateknightbooks.com\/products\/9789819526598","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}