{"product_id":"artificial-intelligence-aided-materials-design-rajesh-jha-9780367765279","title":"Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes","description":"\u003cp\u003eThis book describes the application of artificial intelligence (AI)\/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including hard and soft magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI\/ML algorithms can use this book as a starting point and use the MATLAB\u003csup\u003e(R)\u003c\/sup\u003e and Python implementation of AI\/ML algorithms through included case studies. Experienced AI\/ML researchers who want to try new algorithms can use this book and study the case studies for reference. \u003c\/p\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eOffers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eHelps readers to develop predictive models through AI\/ML algorithms by writing their own computer code or using resources where they do not have to write code \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eCovers downloadable resources such as MATLAB GUI\/APP and Python implementation that can be used on common mobile devices \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eDiscusses the CALPHAD approach and ways to use data generated from it\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eFeatures a chapter on metallurgical\/materials concepts to help readers understand the case studies and thus proper implementation of AI\/ML algorithms under the framework of data-driven materials science \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eUses case studies to examine the importance of using unsupervised machine learning algorithms in determining patterns in datasets\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eThis book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Rajesh Jha, Bimal Kumar Jha\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 0367765276\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9780367765279\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 03\/16\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 334\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.50lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.81d","brand":"Rajesh Jha","offers":[{"title":"Hardcover","offer_id":44056024776959,"sku":"9780367765279","price":140.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_8725219c-aa00-430b-b2f1-b7636451118b.jpg?v=1685039103","url":"https:\/\/www.whiterainbookhouse.com\/products\/artificial-intelligence-aided-materials-design-rajesh-jha-9780367765279","provider":"WR Book House","version":"1.0","type":"link"}