{"product_id":"materials-discovery-and-design-by-means-of-data-science-and-optimal","title":"Materials Discovery and Design: By Means of Data Science and Optimal","description":"\u003cp\u003eIn this review of Materials Discovery and Design: By Means of Data Science and Optimal Learning the reviewer outlines why this volume matters for researchers and advanced students. The bottom line: it is a rigorous, interdisciplinary handbook that shows how \u003cstrong\u003edata science\u003c\/strong\u003e and optimal learning strategies can guide materials discovery, and it is most valuable to those working with large computational or experimental data sets who need principled information-theoretic tools rather than a surface survey.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNew paradigm:\u003c\/strong\u003e The book develops a coherent way of thinking about how data science can actively guide materials discovery, helping practitioners plan experiments and simulations more efficiently.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInformation-theoretic tools:\u003c\/strong\u003e Clear descriptions of information-theoretic approaches illustrate how to quantify and extract value from complex materials data.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eData analysis and processing:\u003c\/strong\u003e Coverage includes methods for both computational and experimental large-scale data processing relevant to modern materials research.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInterdisciplinary contributors:\u003c\/strong\u003e Chapters by experts from different domains provide multiple technical perspectives that help bridge theory and application.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApplied optimal learning:\u003c\/strong\u003e The text explains how optimal learning frameworks can prioritize experiments and accelerate discovery.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho It's For\u003c\/h2\u003e\u003cp\u003eThe book is aimed at materials scientists, computational physicists, and engineers who are comfortable with quantitative methods and want to integrate \u003cstrong\u003edata-driven discovery\u003c\/strong\u003e into their workflow. Graduate students and researchers designing campaigns of experiments or high-throughput simulations will find the emphasis on information theory and optimal learning directly applicable.\u003c\/p\u003e\u003cp\u003eThose seeking an introductory primer on materials science or a general textbook without emphasis on data methods should look elsewhere; the volume assumes familiarity with computational approaches and a willingness to engage with technical descriptions rather than popular explanations.\u003c\/p\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides a coherent framework for guiding materials discovery using data science approaches.\u003c\/li\u003e\n\u003cli\u003ePractical descriptions of information-theoretic tools make advanced concepts usable for applied research.\u003c\/li\u003e\n\u003cli\u003eContributions from an interdisciplinary group offer diverse, complementary perspectives.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eThe material is technical and best suited to readers with a quantitative background, which may limit accessibility for beginners.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eMaterials Discovery and Design: By Means of Data Science and Optimal Learning\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eSpringer Series in Materials Science, 280\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEditors \/ Authors\u003c\/td\u003e\n\u003ctd\u003eTurab Lookman; Stephan Eidenbenz; Frank Alexander; Cris Barnes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus\u003c\/td\u003e\n\u003ctd\u003eInformation-theoretic tools, data analysis, optimal learning in materials science\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eContent type\u003c\/td\u003e\n\u003ctd\u003eContributed chapters from interdisciplinary experts\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudience\u003c\/td\u003e\n\u003ctd\u003eResearchers, graduate students, computational materials scientists\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eOur Verdict\u003c\/h2\u003e\u003cp\u003eMaterials Discovery and Design: By Means of Data Science and Optimal Learning is a focused, high-value reference for researchers who want to apply \u003cstrong\u003eoptimal learning\u003c\/strong\u003e and information-theoretic techniques to real materials problems. It is especially worthwhile for teams running large-scale computational or experimental campaigns; readers seeking a nontechnical introduction should consider a different starting point.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eDoes the book cover experimental as well as computational data?\u003c\/strong\u003e\u003cbr\u003eYes. The text explicitly treats both large-scale computational and experimental data processing with applicable methods.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho contributed the chapters?\u003c\/strong\u003e\u003cbr\u003eThe volume contains chapters from an interdisciplinary group of experts, coordinated by editors Turab Lookman, Stephan Eidenbenz, Frank Alexander, and Cris Barnes.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIs this suitable for beginners in materials science?\u003c\/strong\u003e\u003cbr\u003eNot ideal for beginners; the book assumes quantitative familiarity and focuses on technical tools for data-driven discovery.\u003c\/p\u003e","brand":"Turab Lookman, Stephan Eidenbenz, Frank Alexander, Cris Barnes","offers":[{"title":"Default Title","offer_id":48234387407067,"sku":"3030076024","price":173.32,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/71_QoFBF27L._SL1254.jpg?v=1770837363","url":"https:\/\/gearmusthave.com\/products\/materials-discovery-and-design-by-means-of-data-science-and-optimal","provider":"GearMustHave","version":"1.0","type":"link"}